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Senior Data Product Manager - Senior Vice President
United States, Boston Employment contract 155360.00 - 233040.00 USD / Year · Job Posted June 09, 2026
Job offer has expired
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Job Responsibility
Act as the primary data partner for Fund Accounting and ETF — owning data governance, data modelling, data product management, and data solutions end-to-end
Partner with Product, Technology, Operations and the Enterprise Data Functions to build integrated, scalable data solutions
Drive data standardisation and data availability to enable AI implementation across Fund Services
Engage regularly with clients and operations to understand data requirements and co-design solutions
Drive data programme delivery across a geographically distributed, multi-stakeholder environment
Leverage data insights to support planning, budgeting, and business decision-making
Ensure compliance with data governance policy and regulatory standards
Requirements
10+ years in financial services with strong knowledge of fund services businesses
5+ years in data solutions, modelling, and governance — with a track record of assessing, designing, and delivering data solutions in complex environments
Deep expertise in Fund Accounting, Fund Administration, and ETF — including data flows, operational processes, and product structures
Strong understanding of Middle Office operations and trade life cycle — including trade capture, confirmation, settlement, reconciliation, and corporate actions, and how these data flows connect to downstream fund accounting and reporting
Hands-on experience with modern data platforms and AI enabled data governance tools
Experience delivering end-to-end AI solutions — including models, document processing, and agentic AI — is a strong advantage as the role drives data readiness for AI implementation
Proven track record in complex, geographically distributed environments — able to navigate competing priorities across locations and time zones
Highly autonomous and self-directed — comfortable managing senior stakeholder relationships and driving outcomes independently
Nice to have
Experience delivering end-to-end AI solutions — including models, document processing, and agentic AI is a strong advantage
Qualifications in Data Architecture, Data Governance, Data Engineering, or Data Modelling are advantageous
What we offer
Discretionary and formulaic incentive and retention awards