Overview of the Role
Nuveen is seeking a seasoned leader with 15+ years of experience to own the strategy, roadmap, and end-to-end delivery of our enterprise Data Lakehouse. This is a leadership role as product manager leading team of product owners across platform and engineering , ideal for someone who has evolved from a technical or engineering background into product/platform leadership, or who has spent a career building and scaling data platforms in complex, regulated environments. The successful candidate will have deep credibility with both engineering teams and senior business stakeholders, a track record of building platforms and the organizational maturity to navigate competing priorities across multiple lines of business.
Key Responsibilities of the Role
Own the multi-year vision and strategy for the Data Lakehouse, positioning it as foundational infrastructure for the enterprise's data and AI ambitions
Present platform strategy, investment needs, and progress directly to senior leadership and executive stakeholders, securing sustained funding and organizational buy-in
Own the full business case and ROI narrative for platform investment, including build-vs-buy decisions and multi-year cost/benefit tradeoffs
Anticipate industry and technology shifts (cloud data platform evolution, AI/ML convergence with data infrastructure, emerging AWS capabilities) and translate them into forward-looking roadmap decisions
Represent the platform in enterprise architecture governance forums, ensuring alignment with broader technology strategy
Serve as the senior-most point of accountability between the platform organization and business/data consumer stakeholders across all lines of business
Negotiate and arbitrate competing priorities across business units with differing platform needs, making final prioritization decisions
Build strong partnerships with enterprise data governance, security, risk, and compliance functions to ensure the platform meets regulatory and audit expectations
Define platform success metrics at the organizational level (adoption across business units, cost efficiency, reliability, time-to-value for new use cases) and hold the organization accountable to them
Lead post-incident reviews and systemic root-cause analysis for major platform issues, driving structural improvements
Continuously benchmark the platform against industry best practices and competitor/peer capabilities, driving modernization initiative
Educational Requirements
University (Degree) Preferred
Work Experience
15+ Years Required;
Physical Requirements
Physical Requirements: Sedentary Work
Career Level
10PL
Required Experience & Qualifications:
Domain : Asset Management Technology (Key words – Data Lakehouse, Data Product Ownership , Product Manager, Cross-Functional Leadership, Roadmap Ownership, Product Strategy, Data Lake, Lakehouse Architecture, Data Platform, Enterprise Data Platform, Data Mesh, Modern Data Stack, Data Infrastructure )
Extensive experience in financial services, asset management, or investment management, with a clear understanding of the regulatory, risk, and audit context these industries carry
Familiarity with the range of platform consumers typical in this domain — quants, risk teams, reporting/BI, data science, and downstream application teams — and their differing needs from the platform
Experience with AI/ML platform integration (SageMaker, Bedrock) and how generative AI and agentic architectures are converging with data lakehouse platforms
Prior experience standing up a lakehouse or modern data platform from a legacy or fragmented state, rather than only maintaining a mature one
Experience with FinOps/cost optimization practices for large-scale cloud data platforms
Commercially astute: quickly recognizes the different levers to pull to drive growth and increase productivity
Strategic in nature, with a strong bias towards transformation and execution
Stimulates action with a balanced leadership style of control…