AI-Driven HR & TA Data Product Manager

Harnham; Columbus (OH); On-site; USD 120,000 - 150,000; Full time

Job summary

Harnham seeks a Data Product Manager to build and scale data products supporting HR, Talent Acquisition, and the employee lifecycle within a large enterprise.

You’ll sit at the intersection of product, data, engineering, and the business, translating complex needs into scalable products with measurable impact. The ideal candidate brings strong technical fluency and can work through technical challenges with engineering teams.

Qualifications

• Experience owning data products or technically complex products in an enterprise environment.
• Strong understanding of data platforms, modeling, pipelines, and analytics architectures.
• Ability to investigate data issues and work through technical problems with engineering teams.
• Strong product judgment and a track record of turning ambiguous needs into measurable outcomes.
• Ability to influence stakeholders across business, technology, and governance teams.

Responsibilities

• Own the vision, strategy, and roadmap for HR and TA data products.
• Partner with business leaders to define problems, prioritize opportunities, and establish success measures.
• Translate business needs into clear product and data requirements.
• Collaborate with engineering, analytics, and data science teams on product design, technical trade-offs, and delivery.
• Understand source systems, data models, pipelines, ingestion, and downstream dependencies.
• Embed data quality, metadata, lineage, governance, and privacy requirements into product development.
• Identify practical applications for AI/ML and LLM capabilities.
• Drive product adoption and measure business impact.

Skills

Data product ownership

Data platforms & pipelines

Problem-solving with Eng

Product judgment

Stakeholder influence

Education

MBA or technical masters

Tools

Job description

Harnham seeks a Data Product Manager to build and scale data products supporting HR, Talent Acquisition, and the employee lifecycle within a large enterprise.

You’ll sit at the intersection of product, data, engineering, and the business, translating complex needs into scalable products with measurable impact. The ideal candidate brings strong technical fluency and can work through technical challenges with engineering teams.