Product Owner- Digital R&D Operational Analytics Fabric - Toronto - Sanofi

    Sanofi
    Sanofi Toronto

    1 day ago

    Description

    Working within the R&D Portfolio and Project Analytics team, you'll play a critical role in equipping decision-makers with timely, actionable insights.

    This unique opportunity allows you to implement innovative AI/ML concepts while collaborating with diverse vendors and key stakeholders across the organization.


    About Sanofi:

    We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.


    Main Responsibilities:

    *Product Development & Delivery
    Lead product development for one or more products in the operational analytics fabric from ideation to launch, focusing on cross-functional data integration and rich semantic layer development. Initial focus will be on the Portfolio 360 and/or KPI 360 products. Portfolio 360 will be the data layer that integrates all of relevant entities for Portfolio decision-making while KPI 360 will act as the single source for calculated KPIs, linking strategic and operational KPIs. Play a pivotal role in establishing the R&D Operational Analytics Fabric as the single source of truth serving all analytic/GenAI/GenBI consumers, enabling R&D leaders to make holistic, data-driven decisions that is based on high quality, trusted data. Facilitate business discussions and business process analysis for the purposes of identifying data product needs and delivering data integrations/data products.

    Collaborate with business stakeholders to establish the necessary data governance:
    + Establish data owner/steward network to identify "data champions" to advocate colleagues on best data practices to increase utilization of data assets for portfolio/project decision-making. + Establish clear, measurable data quality standards (accuracy, completeness, timeliness, consistency) for the product. + Create and maintain a centralized repository of data definitions, business glossaries, and semantic standards for the product. + Partner with Master Data Management, Ontology, and Controlled Vocabulary initiatives to ensure interoperability and harmonization of data/metadata across key entities supporting portfolio/project analytics & reporting. + Establish data access policies to ensure secure, compliant data democratization. + Collaborate with data engineering teams to codify/automate all of the above + Identify and resolve functional data issues across datasets that prevent integration and/or analytics at scale. Develop a detailed and executable product delivery plan and timeline across design, build, and run activities; lead the product through governance requirements. Collaborate with stakeholders to understand R&D business needs, gather requirements, establish user stories, and define product features; Manage backlog refinement and drive features prioritization effort. Communicate effectively across non-technical stakeholders, technical stakeholders, and engineering teams to ensure the delivery of outcomes aligned to R&D business needs and value delivery. Define, monitor, and analyze business and performance related product-level KPIs, reporting outcomes to team leadership and key collaborators. Manage technology vendor relationships and partnership strategies. Manage and keep up to date the allocated budget for the product development. Triage operational demands against product roadmaps and delivery plans.    About You
    Bachelor's degree with 3-5 years of experience in digital analytics or data product management. Strong understanding of pharmaceutical R&D business processes, particularly in project and portfolio management. Demonstrated expertise in conceptual data modeling, data integration, data governance, and semantic model/metadata management to build enterprise-grade data products. Strong analytical skills with proven experience defining and tracking business metrics, developing KPI frameworks, and creating business intelligence dashboards. Proficiency in SQL and experience with cloud-based data platforms (Snowflake, Google BigQuery, AWS RedShift), with additional knowledge of DBT, Python, or Informatica ETL considered a plus. Excellence in agile methodologies, stakeholder management across technical and business teams, and data product design from concept to production deployment. Experience implementing data quality management frameworks, data access policies, and governance standards in complex enterprise environments. Familiarity with emerging technologies including GenAI tools, prompt engineering, graph databases, and GraphQL to drive innovation in data products (preferred) 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 new vacant role that we are actively hiring for.
    AI Usage"Artificial Intelligence" refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company's Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada's Privacy Officer via Sanofi's data subject request portal, . The can also be used to request access or correction of your personal information and file a complaint.
    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#DBBCA# Pursue *progress*, discover *extraordinary*Better 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 Only*The salary range for this position is:102, , Includes target bonus)Final compensation will be determined based on demonstrated experience, skills, location, and
    #J-18808-Ljbffr
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