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Senior Product Manager – Data Platforms

Arionkoder · Montevideo

Nouveau Remote
Remote Senior 🇬🇧 English
Databricks Snowflake dbt data catalogs governance tooling

Description du poste

About the role

Arionkoder is seeking a Senior Product Manager to lead the product side of an Enterprise Context Layer for a US‑based client. You will define what gets built, align business units on data definitions, and drive adoption of a shared data layer across AI agents, customer‑facing products and finance automations.

Key responsibilities

  • Lead discovery workshops with business and technical stakeholders, translate findings into prioritized use cases and requirements.
  • Identify inconsistent metrics and business terms, establish documented definitions and assign accountable owners.
  • Drive adoption by ensuring data publishers own definitions and quality, and consumers use the shared layer instead of building duplicates.
  • Run hypothesis‑driven validation processes, capture assumptions and deliver clear verdicts.
  • Collaborate with the Solution Architect to shape increments, define scope and acceptance criteria.
  • Challenge technical decisions from a business perspective and push back on unsuitable trade‑offs.
  • Maintain cadence with the Project Manager to track decisions, risks and stakeholder commitments.
  • Transfer ownership by delivering processes, documentation and an ownership model for ongoing accuracy.

Required profile

  • 5+ years of product management experience with data products (analytics, data platforms, semantic layers, internal tools).
  • Proven ability to align stakeholders across business areas on shared definitions and priorities.
  • Evidence‑based discovery and prioritization approach.
  • Comfort making decisions with incomplete information and managing senior stakeholders.
  • Track record of achieving product adoption, not just delivery.
  • Experience defining, designing and delivering AI or LLM‑based products.
  • Fluent written and spoken English.

Required skills

  • Technical depth to challenge data architects on definitions, modeling choices and trade‑offs.
  • Familiarity with modern data stacks such as Databricks, Snowflake, dbt, data catalogs or governance tooling.

What we offer

  • Monthly USD service fee.
  • 20 business days of paid agreed time off plus local holidays.
  • Caregiver time off.
  • Fully remote work culture – work from anywhere.
  • Entrepreneurial environment.

Questions fréquentes

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Arionkoder

Montevideo