Assistant Director Data & Product Strategy
Role Overview
Help shape how Reed Smith uses data and AI by defining and owning the Data & AI strategy and operating model for the Strategic Intelligence group.
Lead product and portfolio direction across business, data, analytics, AI, automation, and technology, guiding products from idea through launch, adoption, and scale.
Report to the Senior Director, Strategic Intelligence, and present recommendations and results to senior leadership.
Help successful pilots become lasting capabilities and reduce one-off solutions and disconnected workflows.
Key Skills for This Role
Full Job Posting
Position summary
Help shape how Reed Smith uses data and AI by defining and owning the Data & AI strategy and operating model for the Strategic Intelligence group.
Lead product and portfolio direction across business, data, analytics, AI, automation, and technology, guiding products from idea through launch, adoption, and scale.
Report to the Senior Director, Strategic Intelligence, and present recommendations and results to senior leadership.
Help successful pilots become lasting capabilities and reduce one-off solutions and disconnected workflows.
Key responsibilities
- Shape the Data & AI strategy and operating model, including governance, decision rights, funding, and value measurement.
- Prioritize projects and products by value, strategic fit, and readiness; recommend whether to build, buy, or partner.
- Own the integrated roadmap from discovery and pilot through scale and retirement, resolving product trade-offs.
- Set target outcomes before launch and use evidence to decide whether to scale, redesign, or stop products.
- Coordinate data, AI, automation, IT, business teams, and external partners; set sourcing and vendor strategy.
Essential requirements
- Strong track record in data and AI strategy, product strategy, analytics, or technology-enabled transformation in a complex organization.
- Experience managing a strategic portfolio, making investment decisions, and influencing senior business and technology stakeholders.
- Working knowledge of modern data, analytics, AI, and responsible AI sufficient to set direction and challenge recommendations.
- Confidence presenting to executives and ability to lead change through ambiguity with a collaborative leadership style.
- Degree in business, product management, analytics, information systems, technology, or a related field.
Nice to have
- Experience in professional services or another matrixed environment.
- A master's degree.
- Knowledge of enterprise data topics such as master data management, ontologies, and data governance.
- Experience managing consulting, technology, or data providers.
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