Senior Technical Data Product Manager

Key Responsibilities

• MVP Execution: Drive the Signals Hub project from development and testing to validation and launch.
• Dashboard & KPI Management: Define key performance indicators (KPIs), build analytics requirements, and oversee dashboard development for executives, product leaders, and business units.
• Roadmap & Prioritization: Own the product roadmap, managing incoming feature requests, new metrics, and executive reporting needs.
• Bridge Tech & Business: Translate complex business requirements into clear deliverables for engineering teams, while validating metrics with subject matter experts (SMEs).
• Cross-Functional Leadership: Independently lead stakeholder management, aligning priorities across leadership, business units, and technical teams.

Qualifications & Skills Must-Haves

• Product Management Experience: 5–7+ years managing technical, data-driven, or analytics products.
• Analytics & Reporting Focus: Deep experience defining metrics, KPIs, and building/managing reporting dashboards.
• Analytical & Technical Mindset: Strong data-interpretation skills; comfortable collaborating closely with engineering teams to validate data accuracy.
• AI Familiarity: Core understanding of general AI concepts and how to measure AI agent performance (no specific AI tools/frameworks required).
• Independent Execution: Able to hit the ground running with minimal hand-holding.
• Communication: Excellent cross-functional communication skills, with experience presenting to executives and guiding technical teams.

Nice-to-Haves

• Familiarity with Databricks (where ADP’s data and dashboards reside).
• Prior experience with AI performance measurement or product analytics platforms.

Location & Logistics

Onboarding: Fast-paced hire; background check and equipment provisioning take approximately 2–4 weeks post-selection.