Senior Product Manager, AI Data Platform & Governance

Arionkoder; United States; À distance; USD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

Monthly USD Service Fee

Paid Time Off

Caregiver Time Off

Remote work from anywhere

Entrepreneurial environment

Résumé du poste

Arionkoder is seeking a Senior Product Manager to lead the Enterprise Context Layer for a US-based client. You will decide what gets built, align business units on data definitions, and challenge architects to deliver value.

You will run discovery with stakeholders, define owned metrics, drive adoption, and ensure the shared data layer is used across teams. You will partner with Solution Architects and PM to sequence work and deliver AI-enabled capabilities.

Qualifications

• 5+ years in product management with data products experience.
• Experience aligning stakeholders on shared definitions, priorities and ways of working.
• A structured, evidence-based approach to discovery and prioritization.
• Comfortable making decisions with incomplete information and managing senior stakeholders.
• A record of getting products adopted, not just delivered.
• Experience in defining, designing and delivering AI or LLM-based products.
• Fluent written and spoken English.
• Enough technical depth to challenge data architects and engineers on technical definitions, modeling choices and trade-offs, and to understand their answers.
• Familiarity with modern data stacks (Databricks, Snowflake, dbt, data catalogs or governance tooling).

Responsabilités

• Lead discovery with business and technical stakeholders: run working sessions, surface how data is used today, and turn what you learn into a prioritized set of use cases and requirements.
• Own definitions and ownership: identify where metrics and business terms are inconsistent across teams and systems, and drive them to agreed, documented definitions with a named accountable owner for each.
• Lead adoption across the business: get the teams that publish data to own its definitions, metrics and quality, and get the teams that consume context to draw from the shared layer rather than building their own version. Secure sponsorship and alignment at the leadership level when teams disagree.
• Run a hypothesis-driven process: capture the client's assumptions, assign each to the session or experiment that validates it, and close each with a clear verdict and rationale.
• Shape each increment with the Solution Architect: define scope, acceptance criteria and the order of vertical slices based on business value and risk.
• Challenge technical decisions from a business perspective: ask whether a data model, a definition or a trade-off serves the people who will depend on it, and push back when it does not.
• Keep a clear cadence with the Project Manager: decisions, open questions, risks and stakeholder commitments are tracked and visible.
• Transfer ownership: leave the client with the processes, documentation and ownership model to keep the layer accurate after we step back.

Connaissances

Data products

Stakeholder alignment

Discovery & prioritization

AI/LLM products

English fluency

Outils

Databricks

Snowflake

dbt

Data catalogs

Description du poste

Arionkoder is seeking a Senior Product Manager to lead the Enterprise Context Layer for a US-based client. You will decide what gets built, align business units on data definitions, and challenge architects to deliver value.

You will run discovery with stakeholders, define owned metrics, drive adoption, and ensure the shared data layer is used across teams. You will partner with Solution Architects and PM to sequence work and deliver AI-enabled capabilities.