Data Product Manager

Harnham; Wilmington (DE); On-site; USD 110,000 - 170,000; Full time

Job summary

Harnham is hiring Data Product Managers to help build and scale enterprise data products within a global financial services setting. This role focuses on data movement, governance, pipelines, and analytics ecosystems rather than traditional feature development.

You'll partner with Data Engineering, BI, AI/ML, and architecture teams to deliver data products used across the employee lifecycle, owning discovery, backlog, and delivery while translating business problems into epics and user stories.

Qualifications

• 2+ years (Associate) or 3-5 years (Senior Associate) experience in data product-related roles.
• Experience with data platforms, pipelines, governance, and analytics ecosystems.
• Comfortable working with technical teams and senior stakeholders.
• SQL experience required.

Responsibilities

• Own discovery, backlog, and delivery execution.
• Translate business problems into epics, features, and user stories.
• Partner with engineering on data onboarding and product delivery.
• Drive governance, metadata, lineage, and data quality initiatives.
• Support modern cloud-based data platforms and analytics environments.
• Connect technical capabilities to measurable business outcomes.

Skills

Data Product Management

SQL

Databricks

Snowflake

Looker

Data governance

Tools

Databricks

Snowflake

Looker

Job description

A global financial services organization is investing heavily in its next-generation HR data ecosystem and is hiring multiple Data Product Managers to help build and scale enterprise data products.

This is not a traditional feature-focused Product Manager role.

We're looking for technically minded product professionals who understand how data moves through platforms, pipelines, governance frameworks, and analytics ecosystems. You'll work closely with Data Engineering, BI, AI/ML, Architecture, and business stakeholders to build high-impact data products used across the employee lifecycle.

What You'll Do

• Own discovery, requirements, backlog management, and delivery execution
• Translate business problems into epics, features, and user stories
• Partner with engineering teams on data onboarding and product delivery
• Drive governance, metadata, lineage, and data quality initiatives
• Support modern cloud-based data platforms and analytics environments
• Connect technical capabilities to measurable business outcomes

What We're Looking For

• 2+ years (Associate) or 3-5 years (Senior Associate) experience
• Data Product Management, Technical Product Management, Data Governance, Analytics Product, or similar backgrounds
• Strong understanding of data platforms, pipelines, data lifecycle, and modern analytics ecosystems
• Experience working with Databricks, Snowflake, Looker, modern BI or ML platforms
• Comfortable working directly with technical teams and senior stakeholders
• SQL experience

Ideal Backgrounds

• Data Product Managers
• Technical Product Managers
• Analytics Product Managers
• Data Governance Professionals
• AI Product Managers with strong data foundations
• Technical consultants working on data transformation programs

This team is modernising legacy HR technology, building enterprise-scale data products in the modern data stack, and creating new AI-enabled use cases across workforce analytics.