Director, Data Product Management

BlackRock•Princeton, NY

5h•Hybrid

About The Position

This role leads the Data Product Management function within ACB Data & AI Transformation, with responsibility for a team of domain-focused data product managers and product owners. Reporting to the Head of ACB Data & AI Product Strategy, this Director sets the vision, roadmap, and operating standards for how ACB builds and scales data products that power commercial outcomes. The remit spans multiple data domains — including engagement and interaction data (marketing, digital, CRM, events), coverage and segmentation, asset/trade data, and share-of-wallet/competitor asset data — with focus shifting based on business priority. Beyond running the team, this leader serves as a senior connector across ACB, partnering with business heads, Engineering, AI, and Relationship Management leaders to align priorities and ensure data products translate into measurable adoption and impact. Success looks like a high-performing team, a coherent multi-domain roadmap, and an increase in how ACB uses data and AI to drive commercial outcomes.

Requirements

10+ years in data product management, analytics, or business intelligence, ideally in financial services or a similarly data-intensive environment
4+ years of people management experience leading 3-5 person teams of data or other product managers/product owners.
Experience working across multiple data domains, with familiarity with how data flows across CRM systems, marketing platforms, and analytics infrastructure
Experience writing product requirements, managing backlogs, and working in an agile delivery model
Ability to work with business and engineering leadership to guide priorities and refine requirements across various data product domains
Strategic product leadership: Sets vision, defines outcomes, and drives a coherent roadmap across multiple domains — rather than managing tasks
Senior stakeholder presence: Operates credibly with business heads, Engineering leadership, and senior client-facing partners; able to influence without authority
Team builder: Develops product talent, sets a high bar for product craft, and creates an environment where the team can deliver at pace
Commercial orientation: Frames data and AI investments in terms of measurable business outcomes — adoption, efficiency, revenue impact
Strong data and AI fluency: Sufficient technical depth (SQL, Snowflake, modern data platforms, AI/ML concepts, Azure DevOps/Jira) to engage credibly with engineers and AI partners and make informed tradeoffs
Operational discipline: Builds for repeatability — strong instincts around process, documentation, and measurement

Responsibilities

Lead, coach, and grow a team of data product managers and product owners aligned to core ACB data domains
Develop talent through ongoing feedback, stretch assignments, and structured career growth — building bench strength for senior product roles
Foster a culture of ownership, commercial orientation, and product discipline
Define and own the multi-domain data product strategy and roadmap, aligned to firmwide and business unit priorities
Establish prioritization frameworks and governance to make tradeoffs explicit across competing demands
Translate business strategy into a coherent portfolio of data products, ensuring the team's roadmaps ladder up to enterprise outcomes
Set standards for product definition, requirements quality, and acceptance criteria that Engineering can build against consistently
Serve as the senior point of partnership for ACB business leaders across Marketing, Sales Enablement, Distribution, Product, and Operations
Ensure data products across domains are designed to power downstream AI use cases — including targeting, personalization, insights, and agentic workflows
Partner with AI and platform teams to move capabilities from experimentation into production
Embed AI fluency into the team's product practice, ensuring data structure, quality, and accessibility decisions are made with AI consumption in mind