Director, Product Management, Data & Data Governance

BNY
Boston, MA, United States
3 days ago
Apply on find.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Computer-Aided Design Artificial Intelligence Big Data Software as a Service Data Governance Data Infrastructure Extract Transform Load (ETL) Data Visualization Distributed Systems SQL Databases Systems Integration Containerization

Job description

  • Translate customer needs and market opportunities into actionable product standards (experience principles, design patterns, service tiers, reliability/latency targets, governance baselines).
  • Partner deeply with engineering, design, security, SRE, and GTM to build, prioritize, and execute a roadmap with measurable value at each step-balancing platform foundations with customer-facing outcomes.
  • Lead a team of PMs/product owners/specialists), setting clear goals, coaching execution, and ensuring high-quality launches and adoption.
  • Tracking adoption metrics, platform usage, telemetry and client feedback to continuously improve
  • Innovating around future-proofing and commercializing channel capabilities, including the use of emerging technologies like generative AI and data monetization strategies.
  • Collaborating with business development teams to support strategic engagements with key clients

Requirements

  • 10+ years of product management experience, including 3+ years leading other PMs (or equivalent team leadership at the Group PM / Director level).
  • Proven success owning multi-year product vision and roadmaps, and translating strategy into execution across multiple squads/teams.
  • Track record building B2B products for complex enterprise customers, including stakeholder management up to C-level.
  • Deep technical understanding of cloud + data infrastructure, with strong intuition for tradeoffs across performance, reliability, security, and cost at enterprise scale.
  • Hands-on familiarity with modern data platform patterns (warehouse/lakehouse concepts, distributed systems, metadata-driven governance, large-scale data movement/integration).
  • Experience driving SaaS platform modernization (e.g., multi-tenant SaaS, cloud-native technologies) and shipping platform capabilities that scale.
  • Demonstrated success embedding AI into product experiences-automating workflows, improving discoverability/usability, and enabling new value (e.g., copilots for SQL/data prep, AI-assisted governance, anomaly detection, intelligent recommendations).
  • Strong experience delivering data visualization experiences in a B2B platform-such as operational dashboards, usage/cost analytics, “data health” and quality views, lineage/impact analysis graphs, and administrator reporting.
  • Experience integrating or designing alongside BI/analytics ecosystems (e.g., building metadata/lineage integrations with BI and ETL tools, or enabling governed “self-serve” experiences).
  • Excellent written and verbal communication-able to simplify complex platform topics (data governance, performance, cost, security) for executives and customers.
  • Strong analytical problem solving and decision-making; comfortable using product analytics and market signals to prioritize.
  • Desire to work in a fast-paced highly transformational environment
  • Knowledge of institutional financial services is desired, ideally with experience in buy-side and asset management workflows

About the company

hackajob is collaborating with BNY to connect them with exceptional professionals for this role.

We’re seeking a future team member for the role of Product Manager for Data & Data Infrastructure. Our Data & Analytics business includes SAAS software solutions BNY provides to asset manager, asset owners, banks, broker dealers, insurance companies and alternative fund managers. These solutions include software for fund accounting and administration, performance and analytics, data management and investment operations, delivered across 100+ markets globally. The remit of this role covers all these solutions, clients and regions. This role is located in New York, NY or Boston, MA.

In this role, you’ll make an impact in the following ways:

  • Leading the global vision and strategy for the Data & Analytics Data & Data Infrastructure capabilities. aligning with client needs, industry trends, and firm-wide innovation., At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what is all about. Join us and be part of something extraordinary.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on find.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:53 min

Reinventing data governance as a collaborative business foundation

Farooq Sheikh Farooq Sheikh +3 · World Congress 2025

5:39 min

Transitioning from technical engineering into corporate project leadership

Peter Busch · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all