Sanofi
biopharma
AICapabilitiesandPortfolioSpecialist
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“AI Capabilities and Portfolio Specialist at Sanofi. Skills: AI Capabilities Tracking, Portfolio Performance & Value, Cross-Domain Coordination, RAISE & Governance Support. Maintain cross-product visibility of AI capabilities. Identify capability overlaps and performance variations”
What You'll Achieve.
enable informed portfolio decisions; translating capability insights into actionable recommendations for leadership; ensure we're building the right capabilities, avoiding duplication and scaling what works; provide cross-domain visibility of AI capabilities; track performance and adoption; enable smarter portfolio decisions, faster scaling and responsible AI governance
Industry & Context.
analytical and critical thinking skills to assess portfolio health, identify patterns and surface strategic recommendations; Pragmatic problem-solver who focuses on actionable insights over theoretical perfection
What They're Looking For.
Must Have
Bachelors degree, 5-7 years in portfolio management, product management, program management or strategic operations within technology, AI/ML or digital environments, Proven ability to work across multiple functions and stakeholders, gathering insights and building coherent views from fragmented information, understanding of AI/ML product lifecycle from proof-of-concept through production scaling, Experience tracking complex portfolios with multiple stakeholders, dependencies and value metrics, Experience supporting executive governance forums and translating technical initiatives into business-focused narratives, Excellent analytical and critical thinking skills to assess portfolio health, identify patterns and surface strategic recommendations, stakeholder management and influencing skills with ability to collaborate across business, digital and governance teams, Experience with portfolio management tools, frameworks and methodologies, Ability to work with ambiguity and autonomy, making sound decisions with limited guidelines, communication skills - able to translate complex technical topics for diverse audiences, Self-directed professional who can define success metrics and work toward them independently, Comfortable being a "connector" rather than an owner - your value is in insights, not authority, Curious about AI technology trends and how they apply to enterprise environments, Pragmatic problem-solver who focuses on actionable insights over theoretical perfection
Nice to Have
Masters degree preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Maintain cross-product visibility of AI capabilities
Identify capability overlaps and performance variations
Surface opportunities for capability convergence
Track capability lifecycle from proof-of-concept through production scaling
Monitor value realization and adoption metrics for AI capabilities
Coordinate with Finance on capability-level ROI analysis and budget performance
Identify high-performing capabilities ready for scaling and underperforming capabilities requiring intervention
Prepare capability-focused insights for AI Board and ExCom reviews
Work closely with AI Commonalities & Standards Lead on capability mapping and standards adoption
Coordinate with domain digital teams to gather capability performance data
Bridge enterprise capability insights to domain teams to inform their roadmaps
Support governance reviews with capability-level risk and performance assessments
Monitor RAISE compliance and risk indicators across AI capabilities
Flag capabilities approaching governance thresholds or requiring review
Support AI Board preparation with structured capability insights and decision-ready materials
How You'll Work.
Team & Collaboration
work across multiple functions and stakeholders; collaborate across business, digital and governance teams; coordinate with domain digital teams; work closely with AI Commonalities & Standards Lead
Communication Scope
able to translate complex technical topics for diverse audiences; translating technical initiatives into business-focused narratives
Process & Methodology
portfolio management, program management, tracking complex portfolios with multiple stakeholders, dependencies and value metrics
Full Job Description
**Reference no. R2855687** **Position title:** AI Capabilities and Portfolio Specialist **Department:** Data Portfolio and Operations **Location:** Toronto, ON **About the Job** Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. At Sanofi, we're building AI capabilities at scale across research, commercial, manufacturing and corporate functions. As we grow, we need enterprise-wide visibility to ensure we're building the right capabilities, avoiding duplication and scaling what works. We're seeking an AI Capabilities & Portfolio Specialist who will provide cross-domain visibility of AI capabilities, track performance and adoption, and enable informed portfolio decisions. This role works at the intersection of strategy, portfolio management and governance - translating capability insights into actionable recommendations for leadership. **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:**_ **Enterprise Capabilities Tracking** * Maintain cross-product visibility of AI capabilities (content generation, data analysis, conversational agents, etc.) tracking performance, adoption and maturity across all domains * Identify capability overlaps and performance variations across products in close coordination with AI Commonalities & Standards Lead * Surface opportunities for capability convergence, reuse or retirement based on performance data * Track capability lifecycle from proof-of-concept through production scaling across the enterprise **Portfolio P
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