Senior Product Manager, Data

🔥 50 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

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Arionkoder

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

🏥 Healthcare

🤖 Artificial Intelligence

Consulting • Healthcare • Artificial Intelligence

Arionkoder is a company focused on co-crafting transformational digital products through innovative solutions that address complex human challenges. With a strong emphasis on applying AI and design in the healthcare sector, Arionkoder aims to enhance work efficiency, reduce costs, and improve health equity. Their team comprises data scientists, machine learning engineers, and product designers dedicated to creating human-centered AI transformations and impactful digital experiences.

📋 Description

• Lead discovery with business and technical stakeholders through working sessions, surface current data usage, and turn findings into prioritized use cases and requirements • Own definitions and ownership by identifying inconsistent metrics and business terms and driving agreed, documented definitions with accountable owners • Lead adoption across the business and secure leadership sponsorship and alignment • Run a hypothesis-driven process by validating client assumptions through sessions or experiments and documenting clear verdicts and rationale • Shape increments with the Solution Architect by defining scope, acceptance criteria and vertical-slice order based on value and risk • Challenge technical decisions from a business perspective and push back on unsuitable data models, definitions or trade-offs • Maintain cadence with the Project Manager by tracking decisions, open questions, risks and stakeholder commitments • Transfer ownership through processes, documentation and an ownership model that keeps the layer accurate after engagement

🎯 Requirements

• 5+ years in product management, with experience on data products (analytics, data platforms, metrics or semantic layers, internal data tools or similar) • Experience aligning stakeholders across business areas 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 (strong plus) • Familiarity with modern data stacks, for example Databricks, Snowflake, dbt, data catalogs or governance tooling (strong plus)

🏖️ Benefits

• Monthly USD Service Fee • 20 business days of paid Agreed Time Off—Annual + 6 Local Holidays • Caregiver Time Off • A dynamic remote work culture. You can work from anywhere! • An entrepreneurial environment.

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