SENIOR MANAGER, BUSINESS AI AND DATA MANAGEMENT – Home Depot – Toronto, ON

Company: Home Depot

Location: Toronto, ON

Expected salary:

Job date: Sat, 02 Aug 2025 05:34:10 GMT

Job description: SENIOR MANAGER, BUSINESS AI AND DATA MANAGEMENT Job At The Home Depot in Toronto, ON M3C 4H9SENIOR MANAGER, BUSINESS AI AND DATA MANAGEMENT Press ENTER to read the content or TAB to skip.1 Concorde Gate, Toronto, ON M3C 4H9Req152928 Full Time Corporate HybridWith a career at The Home Depot, you can be yourself and also be part of something bigger.The Home Depot Canada is a unique opportunity for you to become part of a transformative retail disrupter as we continue our mission to provide the best interconnected shopping experience to our customers. The Senior Manager, BAI and Data Management will support the implementation of the AI strategy, and advanced analytics operations at Home Depot. Responsibilities include integrating AI into online (web, and marketing) products, merchandising (pricing, forecasting etc.), and Pro (loyalty, prospecting, etc.), defining the data requirements to support analytics and AI, conducting research, and collaborating with other data science teams to advance the implementation of AI.As part of a high-energy, diverse, fast-paced, and innovative culture, the Sr. Manager, BAI and Data Management will be expected to engage with our business partners to identify data-driven opportunities and map business problems to data science and AI solutions; develop a roadmap that spans and informs all areas of the business from product innovation to customer success; and guide and inspire the teams in best practices, and evangelize strategic use of data throughout the marketing and e-commerce, merchandising and Pro businesses.Key Responsibilities:Business AI Insights

  • Identify new opportunities in partnership with the business to use AI in key business processes. Examples include churn prediction, search optimization, recommendation engines etc.
  • Drive AI integrations into new and existing online features to enhance functionality, user experience, and market competitiveness
  • Lead the team of data scientists on end-to-end AI product development lifecycle, from ideation to launch, ensuring timely delivery and positive ROI
  • Spearhead initiatives to streamline the transition of AI and analytics projects from development to production, ensuring robust infrastructure and operational efficiency

Generative AI Adoption

  • Champion research and experimentation to promote the adoption of generative AI in both internal and customer facing opportunities in unison with the data science teams in Home Depot US
  • Foster a culture of continuous learning and innovation of the use of Generative AI within the team and more broadly across business users in marketing, Merchandising and Pro

Data Management

  • Oversee team responsible for digital marketing-tagging strategy, Adobe analytics tagging, implementation and tracking for web analytics, marketing campaigns to generate actionable insights
  • Manage the data engineering team that ensures data quality, governance and consistency for advanced analytics and AI modeling
  • Collaborate closely with IT teams to ensure the effective stewardship of data assets, aligning on best practices for data governance, security, and scalability
  • Ensure AI solutions comply with ethical standards and regulatory requirements
  • Monitor and evaluate the performance of AI systems, making improvements as needed

Leadership and Team Management

  • Be a subject matter expert in supervised and unsupervised ML algorithms, and other applied AI techniques to derive meaningful and actionable insights from big data to support optimization in stores such as product assortment, space, display etc.
  • Setting up the foundations for big data to be useful for machine learning purposes working in conjunction with the data engineering, and IT teams
  • Ability to influence without direct control in adjacent areas of data and analytics across the organization to find common purpose, drive efficiencies, and sustain strong working relationships
  • Mentor and develop the technical and business skills of Data Scientists, junior AI team members, ensuring technical excellence and professional growth
  • Stay up to date with the latest advancements in AI technology and industry trends and propose roadmaps that align with the marketing and e-commerce AI strategy

Competencies:

  • DEVELOPS TALENT
  • DECISION QUALITY
  • PLANS AND ALIGNS
  • BALANCES MULTIPLE STAKEHOLDERS
  • MANAGES CONFLICT
  • DRIVES ENGAGEMENT
  • CUSTOMER FOCUS
  • BUILD EFFECTIVE TEAMS
  • COMMUNICATES EFFECTIVELY
  • ORGANIZATIONAL SAVVY

Direct Manager/Direct Reports:

  • Reports to Director of Interconnected Analytics & Data Science
  • Has a team of Managers reporting into this position

Travel Requirements:

  • Hybrid

Physical Requirements:

  • Extended sitting
  • Repetitive tasks
  • Operating a computer and other technology

Hybrid Work:

  • Location Flex

Working Conditions:

  • Office

Minimum Education:

  • Bachelor’s Degree in Computer Science, Electrical Engineering, Statistics, Applied Math, or other related fields.
  • 7-10 years experience in one or multiple of the following areas: machine learning, deep learning, choice modeling, time series analysis, statistical signal processing, or natural language processing.
  • Experience using cloud services (AWS, Azure, GCP) big data tools (Hadoop, Hive, Spark) in data science solutions.
  • 5-10 years of leading teams to deliver data analytics and machine learning solutions for cross-functional business teams.

Advanced Degree (Preferred):

  • Ph.D. or MS degree in Computer Science, Electrical Engineering, Statistics, Applied Math, or other related fields.

Relevant Certifications:Minimum Years of Work Experience:

  • 8-10 Years of Relevant Work Experience

Minimum Leadership Experience:

  • A minimum of 5 years in a managerial role, overseeing teams and project

Certifications:

  • Patents / Whitepapers publications are an asset

Other Requirements/Assets:

Summary: Senior Manager, Business AI and Data Management at The Home Depot, Toronto

Position Overview:
The Senior Manager for Business AI and Data Management will play a key role in implementing The Home Depot’s AI strategy and advanced analytics operations, focusing on enhancing customer experiences and operational efficiency.

Key Responsibilities:

  • Business AI Insights: Identify AI opportunities, drive AI integration into online features, and lead data scientists in the AI product development lifecycle.
  • Generative AI Adoption: Promote generative AI in internal and customer-facing projects, fostering a culture of innovation.
  • Data Management: Oversee digital marketing tagging, manage data quality and governance, and ensure compliance with ethical standards.
  • Leadership: Mentor team members, collaborate with IT for data stewardship, and stay updated on AI advancements.

Competencies Required:

  • Talent development, decision quality, stakeholder management, customer focus, and effective communication.

Requirements:

  • Education: Bachelor’s in Computer Science, Engineering, or related fields; advanced degrees (Ph.D. or MS) preferred.
  • Experience: 7-10 years in machine learning and data analytics, with 5-10 years in a managerial role.
  • Proficiency with cloud services and big data tools is essential.

Work Environment:

  • Hybrid work model, with responsibilities in an office setting involving extended sitting and computer use.

Direct Reports:

  • Reports to the Director of Interconnected Analytics & Data Science, supervising a team of managers.

This role provides an opportunity to join a transformative retail environment focused on innovation and customer experience.

SAP iXp Intern – Business Data Cloud GTM Content Specialist – SAP – Vancouver, BC

Company: SAP

Location: Vancouver, BC

Expected salary:

Job date: Thu, 31 Jul 2025 22:24:29 GMT

Job description: with external marketing agencies as required Research industry trends and topics to generate innovative content ideas that improve… by lifelong learning. Bachelor’s or equivalent degree in Interactive Design, Marketing, Communications, Graphic Design or MBA…

SAP iXp Intern – Business Data Cloud GTM Content Specialist – SAP – Vancouver, BC

Company: SAP

Location: Vancouver, BC

Expected salary:

Job date: Fri, 01 Aug 2025 03:13:31 GMT

Job description: with external marketing agencies as required Research industry trends and topics to generate innovative content ideas that improve… by lifelong learning. Bachelor’s or equivalent degree in Interactive Design, Marketing, Communications, Graphic Design or MBA…

Citigroup – Data Lineage App Developer – mHub (Ab-initio) (Hybrid) – Mississauga, ON

Company: Citigroup

Location: Mississauga, ON

Expected salary:

Job date: Thu, 31 Jul 2025 23:17:38 GMT

Job description: About Citi:Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.This role is a Data Lineage App Developer – mHub (Ab-initio) and is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.Responsibilities:– Develop and maintain application development to complicated enterprise data lineage– Optimize industry based tool to simplify enterprise level data complexity via data lineage– Debug and resolve graph-related issues– Collaborate on designing and implementing new features to simplify complex problems– Conduct code reviews for quality assurance– Write and maintain documentation for functionalities and APIs– Integrate and validate third-party libraries and tools– Manage source code using version control systems– Implement algorithms for code generation and optimization– Perform code refactoring for better maintainability and efficiency– Stay updated with advancements in Data lineage technology– Profile and benchmark compiler performance on various platforms– Develop automated testing and verification of code base and functionality– Provide technical support to teams using technical expertise– Analyze performance metrics to identify areas for improvement– Participate in design and architecture discussions– Use static and dynamic analysis tools to improve code quality– Collaborate with cross-functional teams– Research new techniques and methodologies– Contribute to and engage with open-source compiler projectsQualifications:Strong understanding of Data Lineage, metadata management and reference data development and data analytics.Good knowledge about relational databases like Oracle, SQL / PLSQL,Strong knowledge in two or more of the areas of: Data lineage, Ab-initio mHub tool, application development, python, lineage industrial toolHands on experience of any coding language and tool based configuration prior experience.Full Software Development Kit (SDK) development cycle experience.Pragmatic problem-solving and ability to work independently or as part of a team.Proficiency in ab-initio mHub or python programming languages.Proficiency with 1 or more of the following programming languages: Java, API, Python2+ years of non-internship professional software development experienceA passion for development, strong work ethic, and continuous learning.Experience with code optimization techniques for different hardware architectures.Preferred Qualifications:Bachelor’s in computer science or related field.Experience relational database i.e. SQL / PLSQL, Oracle etcExperience with code development, metadata management, reference data, Lineage toolExperience with developing data lineage using tool or custom code.Experience in Data management and coding languageAt least 4+ years of application Ab-initio Metadata hub development experience.Education:Bachelor’s degree/University degree in Computer Engineering, Information Technology, Computer Science or equivalent experienceJob Family Group: TechnologyJob Family: Applications DevelopmentTime Type: Full timeMost Relevant Skills Please see the requirements listed above.Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review .View Citi’s and the poster.

Sanofi – Data Engineer – Toronto, ON

Company: Sanofi

Location: Toronto, ON

Expected salary: $86100 – 124366.66 per year

Job date: Thu, 31 Jul 2025 22:28:20 GMT

Job description: Reference No. R2809460Position Title: Data EngineerDepartment: Digital Data EngineeringLocation: Toronto, ONAbout the JobOur Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.Sanofi has recently embarked on a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.You are a dynamic Data Engineer interested in challenging the status quo to design and develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards.Our vision for digital, data analytics and AIJoin us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:AI Factory – Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack.·World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsetsThere are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates.We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?Main Responsibilities:Propose and establish technical designs to meet business and technical requirementsDevelop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologiesCreate data pipelines / ETL pipelines and optimize performanceTest and validate developed solution to ensure it meets requirementsCreate design and development documentation based on standards for knowledge transfer, training, and maintenanceWork with business and products teams to understand requirements, and translate them into technical needsAdhere to and promote to best practices and standards for code management, automated testing, and deploymentsLeverage existing or create new standard data pipelines within Sanofi to bring value through business use casesDevelop automated tests for CI/CD pipelinesGather/organize large & complex data assets, and perform relevant analysisConduct peer reviews for quality, consistency, and rigor for production level solutionActively contribute to Data Engineering community and define leading practices and frameworksCommunicate results and findings in a clear, structured manner to stakeholdersRemains up to date on the company’s standards, industry practices and emerging technologiesAbout YouKey Functional Requirements & Qualifications:Able to work with cross-functional teams to solve complex data architecture and engineering problemsDemonstrated ability to learn new data and software engineering technologies in short amount of timeBasic understanding of agile/scrum development processes and conceptsAble to work in a fast-paced, constantly evolving environment and manage multiple prioritiesStrong technical analysis and problem-solving skills related to data and technology solutionsExcellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leadersPragmatic and capable of solving complex issues, with technical intuition and attention to detailService-oriented, flexible, and approachable team playerFluent in English (Other languages a plus)Key Technical Requirements & Qualifications:Pursuing or completed Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant fieldBasic experience in data engineering, integration or comparable role with relevant technologies and tools (DBT is a plus)Basic understanding of data structures and algorithmsBasic knowledge of scripting languages and coursework (Python, Shell scripting)Basic knowledge in cloud-based data platforms (Snowflake is a plus, AWS is a plus)Basic knowledge with job scheduling and orchestration (Airflow is a plus)Basic understanding of SQL and relational databases technologies/conceptsNice to haves:Experience working in life sciences/pharmaceutical industry is a plusFamiliarity or internship experience with data ingestion through batch, near real-time, and streaming environmentsFamiliarity or internship experience with data warehouse concepts and architectures (data mesh a plus)Familiarity with Source Code Management Tools (GitHub a plus)Previous internship or project experienceWhy Choose Us?Bring the miracles of science to life alongside a supportive, future-focused team.Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programsThis position is for a current vacant role that we are actively hiring for.​Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP ​
#LI-SP#LI-Hybrid#DBBCAPursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.Watch our and check out our Diversity Equity and Inclusion actions at !North America Applicants OnlyThe salary range for this position is: $86,100.00 – $124,366.66All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the .La fourchette salariale pour ce poste est la suivante:$86,100.00 – $124,366.66Toute compensation sera déterminée en fonction de l’expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d’avantages sociau de l’enterprise. Des informations supplémentaires sur les avantages sont disponibles via le .

Citigroup – Data Lineage App Developer – mHub (Ab-initio) (Hybrid) – Mississauga, ON

Company: Citigroup

Location: Mississauga, ON

Expected salary:

Job date: Fri, 01 Aug 2025 01:31:45 GMT

Job description: The Applications Development Senior Manager is a senior management level position responsible for accomplishing results… issues, including resource management and allocation of work within the team/project Ensure essential procedures…

The Applications Development Senior Manager is a high-level role focused on achieving results through effective resource management and team project allocation. The position involves ensuring adherence to essential procedures and addressing various project-related issues.

Marketing Data Scientist – Scene+ – Toronto, ON

Company: Scene+

Location: Toronto, ON

Expected salary:

Job date: Wed, 30 Jul 2025 23:37:02 GMT

Job description: Who we areJoin Scene+ and be part of Canada’s most robust lifestyle loyalty program with over 15 million members and growing! We are a trusted brand, driven by the belief that there’s always something to look forward to with rewards for every kind of life. Our goal is to become Canada’s favourite loyalty program by nurturing our Members with rewards their way.We’re the exciting joint venture of Cineplex, Empire, and Scotiabank, blending the energy, optimism, and atmosphere of a start-up with the support of three iconic Canadian companies. With over 100 team members and plans to grow more, we’re an emerging, responsive company. We offer collaboration, accountability, challenges, and rewards to everyone who joins us.Our motto is “Love what’s next,” and we believe it applies to your career too. Join us to help evolve the program, collaborate with amazing teams, and love what lies ahead.Who we needReporting to the Senior Manager, Marketing Science, we are looking for a Marketing Data Scientist who brings the technical expertise and practical knowledge to leverage analytics and demonstrate marketing effectiveness. You will play a pivotal role and take ownership of our post-campaign analytics, developing our omnichannel campaign deployment, and delivering data-driven recommendations for personalized member offers. From testing new campaigns, building dashboards, and presenting impact, you will work strategically and creatively to ensure we are engaging and delighting our members.This is a hybrid role, working 5 days over a 2-week period in the office.What’s in it for youOwnership. We are a data science-driven company. Our customer database is one of Canada’s largest and most complex, with data from dozens of partners and millions of members. Every project you work on will impact the organization as a whole and our loyalty program members.Future forward impact. This is a chance to define and shape your role as part of a future-forward team that values authenticity and invites fresh perspectives. Joining us now is a chance to drive decisions and bridge post-campaign analytics with marketing plans. You will have the opportunity to recommend tools, approaches, and best practices as well as expand our data-driven marketing capabilities.Anticipation. We have a proven history of supporting the growth of our people. You will work with a manager whose focus is to remove barriers and empower his team to collaborate seamlessly and accomplish great things. You will be supported in your day-to-day deliverables – growing your presentation skills and contributing to decision-making – and in your overall career development. Whether you want to move into Machine Learning and data modelling or explore another area of our business or one of our parent companies, there is always something to look forward to.As our new Marketing Data Scientist, you will:

  • Build. You will code and develop omnichannel campaigns for member engagement and offers. You will work with partners to define campaign objectives, target audiences, test requirements, and delivery timelines.
  • Analyze marketing data. You will monitor campaign performance and consult on adjustments to marketing strategy based on your findings. You will conduct post-campaign deep dives, collaborating with Marketing, Partnerships and Data Science to implement changes to messaging and ensure alignment with objectives.
  • Optimize. You will augment existing campaigns with insights and tools created by the data science team. You will identify gaps in data point collection, demonstrate areas for further exploration and targeting, and evolve the entire campaign process to improve efficiency and reduce errors. You will implement campaign testing to drive meaningful outcomes.
  • Grow. You will research new tools, trends, and approaches and work with vendors to stay up to date with the latest methodologies and best practices in the field.

You bring:

  • The analytics. You possess deep familiarity with marketing analytics, customer behavior, segmentation, and transactional data. You understand how to analyze and interpret customer behavior patterns to inform segmentation strategies and optimize marketing campaigns.. Ideally, you have worked on customer loyalty programs, identifying trends and opportunities to create effective, engaging campaigns. You have worked with big data sets in a customer-facing industry, and you can apply your findings to drive decisions and pinpoint gaps in data point collection. You have experience with testing frameworks like A/B, long-term control holdouts, and price optimization. You can distill data to key relevant findings, create and make presentations, tell a story, and use data visualization to enhance your message.
  • The technical skills. You can learn new tools independently and quickly. You are proficient in MS Office, including the strengths in building presentation decks in PowerPoint that succinctly convey results and provide data-based recommendations. You have a solid foundation using Python/Pyspark for data science, writing complex SQL queries to extract and integrate data from multiple database sources, and using Tableau for data visualization. You have strong digital business acumen and a proven record of successfully working with marketing tools like Salesforce, and Google Analytics.
  • Interpersonal skills. You can nurture relationships across internal and external teams: gaining trust to influence decisions. You have professional communication skills, including translating complex analytics concepts and findings for different audiences and levels.

Join us.At Scene+, we cultivate an innovative and collaborative environment. Guided by our values, we aim to exceed the expectations of our partners and members.Member Focus: We prioritize the needs and experiences of our members in everything we do.Teamwork: We believe in the power of collaboration and working together to achieve our goals.Continuous Improvement: We strive for excellence by constantly seeking ways to improve and innovate.Integrity: We uphold the highest standards of honesty and transparency in our actions.Results Driven: We are committed to achieving outstanding outcomes and delivering value.Passion: We are passionate about our work and dedicated to making a positive impact.We offer:Perks: Enjoy a competitive salary and benefits package, performance-based bonuses, and extra rewards from our owners, including discounted rates on mortgages, banking, movies, and more.Warmth: We foster a genuine culture where relationships, knowledge sharing, and creativity thrive.Growth: Working for Scene+ offers exposure to a range of industries represented by our owners and partners. You’ll have the chance to work on diverse initiatives, collaborate with cross-company teams, and expand your career path options both internally and with our owners.What you can expect from our interview process:

  • A virtual interview with a Talent Advisor discussing your interest in the role and the company.
  • An interview with the Senior Manager Marketing Science, preceded by a case study assignment. During this 1-hour time slot, you will present your case study analysis and answer questions. You will have the chance to learn more about the team and to share your experience. It’s a chance to ask questions about the company and the role.
  • An interview with the Director, Data Science, to share why you are interested in joining Scene+ in this role, and share more about your professional goals. It’s a chance to ask questions about the company’s growth trajectory.

Apply now.If you have 70% of what we’re looking for and 100% authenticity and passion, express your interest here. Please contact us by email at careers@scene.ca and let us know what accommodations or assistance we can provide you during the application process.At Scene+, we’re committed to diversity, equity, and inclusion. We strive to integrate these values into everything we do, from our partners and offers to our teams and interactions. We welcome and appreciate candidates from diverse backgrounds, including women, persons with disabilities, Black, Indigenous and People of Colour (BIPOC), the LGBTQ2SIA+ community, and other equity-seeking groups.#LI-Hybrid
#LI-DNIPowered by JazzHR

Summary of Scene+ Marketing Data Scientist Position

Company Overview:
Scene+ is Canada’s leading lifestyle loyalty program, boasting over 15 million members and a collaboration between Cineplex, Empire, and Scotiabank. The brand promotes a rewarding experience and aims to be Canada’s favorite loyalty program by providing personalized rewards.

Role Overview:
The Marketing Data Scientist will report to the Senior Manager, Marketing Science, focusing on post-campaign analytics, omnichannel campaign deployment, and data-driven member offers. This hybrid role involves both in-office and remote work arrangements (5 days over a 2-week span).

Key Responsibilities:

  • Build omnichannel campaigns for member engagement.
  • Analyze marketing data to optimize strategies and conduct post-campaign reviews.
  • Optimize existing campaigns using insights to improve performance and reduce errors.
  • Grow the team’s knowledge by researching new tools and methodologies.

Candidate Requirements:

  • Strong familiarity with marketing analytics and customer behavior.
  • Proficiency in technical tools, including Python/Pyspark, SQL, and Tableau.
  • Excellent interpersonal skills to communicate complex analytics findings.
  • Previous experience with customer loyalty programs is advantageous.

Company Culture:
Scene+ emphasizes member focus, teamwork, continuous improvement, integrity, results-driven practices, and a passion for their work, offering competitive salaries, benefits, and growth opportunities.

Application Process:
The interview process includes a virtual interview, a case study presentation, and discussions with leadership to establish fit and interest in the role.

Diversity Commitment:
Scene+ is dedicated to diversity, equity, and inclusion, welcoming candidates from various backgrounds. Interested applicants should express their interest via email, highlighting any accommodations needed during the application process.

NTT Data – Databricks Admin – Toronto, ON

Company: NTT Data

Location: Toronto, ON

Expected salary:

Job date: Fri, 25 Jul 2025 22:16:06 GMT

Job description: Req ID: 334160NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Databricks Admin to join our team in Toronto, Ontario (CA-ON), Canada (CA).Job Duties: Key Responsibilities:1. Security Administration:o Design, implement, and manage security policies and controls within the Databricks environment.o Monitor and audit user access and activities to ensure compliance with security policies.o Develop and maintain data encryption strategies.o Manage roles, permissions, and access controls to ensure data security and compliance.2. Automation and Optimization:o Develop and implement automation scripts to streamline data workflows and administrative tasks.o Optimize Databricks performance by tuning queries, managing storage, and implementing best practices.o Utilize Databricks features such as tasks, streams, and stored procedures to automate data processes.o Leverage CICD best practices to automate productionalization of data pipelines3. Collaboration and Support:o Work closely with data engineers, analysts, and other stakeholders to understand their needs and provide solutions.o Provide technical support and troubleshooting for Databricks-related issues.o Conduct training sessions and create documentation for internal teams on Snowflake best practices and security protocols.4. Monitoring and Reporting:o Set up and maintain monitoring tools to track the performance and security of the Databricks environment.o Generate and analyze reports on system performance, security incidents, and usage metrics.o Implement alerts and notifications for critical security and performance events.5. Continuous Improvement:o Stay up-to-date with the latest Databricks features, security trends, and industry best practices.o Proactively identify opportunities for improvement in security, performance, and automation.o Participate in continuous learning and professional development activities.Minimum Skills Required: Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience.
  • Proven experience as a Databricks administrator, with a strong focus on security and automation.
  • In-depth knowledge of Databricks architecture, security features, and best practices.
  • Proficiency in SQL and scripting languages (e.g., Python, JavaScript) for automation tasks.
  • Experience with Azure cloud platforms and their security practices.
  • Familiarity with data governance, compliance standards, and regulatory requirements (e.g., GDPR).
  • Strong problem-solving skills and the ability to work independently and as part of a team.
  • Excellent communication skills, both written and verbal.

Preferred Qualifications:

  • Databricks certification(s) such as Associate or Professional Data Engineer
  • Experience with data integration tools and ETL processes using Azure Data Factory.
  • Knowledge of data privacy and protection laws.

Previous experience in a similar role within a fast-paced, dynamic environmentAbout NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us atWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you’d like more information on your EEO rights under the law, please click . For Pay Transparency information, please click .

NTT Data – Databricks Admin – Toronto, ON

Company: NTT Data

Location: Toronto, ON

Expected salary:

Job date: Fri, 25 Jul 2025 22:40:14 GMT

Job description: Req ID: 334162NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Databricks Admin to join our team in Toronto, Ontario (CA-ON), Canada (CA).Job Duties: Key Responsibilities:1. Security Administration:o Design, implement, and manage security policies and controls within the Databricks environment.o Monitor and audit user access and activities to ensure compliance with security policies.o Develop and maintain data encryption strategies.o Manage roles, permissions, and access controls to ensure data security and compliance.2. Automation and Optimization:o Develop and implement automation scripts to streamline data workflows and administrative tasks.o Optimize Databricks performance by tuning queries, managing storage, and implementing best practices.o Utilize Databricks features such as tasks, streams, and stored procedures to automate data processes.o Leverage CICD best practices to automate productionalization of data pipelines3. Collaboration and Support:o Work closely with data engineers, analysts, and other stakeholders to understand their needs and provide solutions.o Provide technical support and troubleshooting for Databricks-related issues.o Conduct training sessions and create documentation for internal teams on Snowflake best practices and security protocols.4. Monitoring and Reporting:o Set up and maintain monitoring tools to track the performance and security of the Databricks environment.o Generate and analyze reports on system performance, security incidents, and usage metrics.o Implement alerts and notifications for critical security and performance events.5. Continuous Improvement:o Stay up-to-date with the latest Databricks features, security trends, and industry best practices.o Proactively identify opportunities for improvement in security, performance, and automation.o Participate in continuous learning and professional development activities.Minimum Skills Required: Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience.
  • Proven experience as a Databricks administrator, with a strong focus on security and automation.
  • In-depth knowledge of Databricks architecture, security features, and best practices.
  • Proficiency in SQL and scripting languages (e.g., Python, JavaScript) for automation tasks.
  • Experience with Azure cloud platforms and their security practices.
  • Familiarity with data governance, compliance standards, and regulatory requirements (e.g., GDPR).
  • Strong problem-solving skills and the ability to work independently and as part of a team.
  • Excellent communication skills, both written and verbal.

Preferred Qualifications:

  • Databricks certification(s) such as Associate or Professional Data Engineer
  • Experience with data integration tools and ETL processes using Azure Data Factory.
  • Knowledge of data privacy and protection laws.

Previous experience in a similar role within a fast-paced, dynamic environmentAbout NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us atWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you’d like more information on your EEO rights under the law, please click . For Pay Transparency information, please click .