Head of Data Product & Governance, Managing Director

Statestreet; Boston (MA); On-site; USD 250,000 - 350,000; Full time

Job summary

State Street seeks a Managing Director, Head of Data Product & Governance to lead certified, reusable Finance data products and embed governance by design across the data product lifecycle. You will drive One Data Foundation, centralizing data and reducing fragmented sourcing while partnering with technology and enterprise data teams.

The role oversees a global team in the US and India, translating business and regulatory needs into scalable data solutions using AI, automation, and agile

Qualifications

• Experience delivering certified data products for finance stakeholders.
• Ability to define governance requirements and data ownership.
• Proven track record in scaling data products across organizations.

Responsibilities

• Define and execute the Finance data product strategy and roadmap across Finance, Treasury, Financial Risk and Sustainability.
• Advance One Data Foundation through centralized definitions and data reuse.
• Establish ownership, consumer needs, service expectations and measurable outcomes.
• Drive adoption while reducing duplicate sourcing and legacy platform reliance.
• Consolidate legacy data platforms and align investments with enterprise architecture.
• Translate regulatory and reporting requirements into scalable data products; embed governance by design.

Skills

Data governance

Data product strategy

AI & automation

Leadership & cross-functional

Job description

The Finance Data & AI Office (DART) provides two core enterprise services: (1) Providing Certified Data and (2) Enabling Finance Transformation. This role is accountable for driving execution of the first while role-modeling the second, continuously transforming how data products and governance are delivered through process reengineering, AI and automation.

The Managing Director, Head of Data Product & Governance will lead certified, reusable data products for the CFO organization and stakeholders across Treasury, Financial Risk and Sustainability.

The leader will advance One Data Foundation by centralizing and reusing common data while reducing fragmented sourcing, redundant transformations and legacy-platform reliance.

The role will embed governance by design into the data product lifecycle, including Critical Data Elements (CDEs), business definitions, ownership, lineage, data-quality rules, consumer/producer agreements and controls.

Operating across Finance, Treasury, data and technology, the leader will translate business, reporting and regulatory requirements into scalable data products. The leader will use AI, automation and emerging technologies to replace manual, waterfall practices with agile and scalable delivery.

The role owns Finance data product strategy, the product operating model and governance requirements, partnering with technology and enterprise data teams on architecture, engineering, platforms and tooling.

The leader will manage a global U.S. and India team and drive alignment, accountability and execution across organizational boundaries.

What you will be responsible for

One Data Foundation & Data Products

• Define and execute the Finance data product strategy and roadmap, delivering certified, reusable products across Finance, Treasury, Financial Risk and Sustainability.
• Advance One Data Foundation through centralized capture, common definitions, authoritative sources and data reuse.
• Establish clear product ownership, consumer needs, business requirements, service expectations, consumer/producer agreements and measurable outcomes.
• Drive strategic product adoption while reducing duplicate sourcing, transformations and local solutions.
• Set Finance priorities and partner with technology to consolidate legacy data platforms and align investment with enterprise architecture.
• Link new data product development to the rationalization and retirement of legacy products and platforms.

Finance & Treasury Business Leadership

• Translate accounting, regulatory, reporting, planning, Treasury and financial-risk requirements into scalable data products.
• Apply strong knowledge of common data models across the general ledger, sub-ledgers, Treasury, FP&A, management and regulatory reporting, financial-risk