Member of Product, Data Platform · Anchorage Digital

Fri, 17 Apr 2026 12:18:21 GMT
Engineering

Anchorage Digital · United States · remote

At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto.

The Data Platform team is the backbone of Anchorage Digital's information infrastructure. As data becomes the lifeblood of every product, compliance workflow, and client-facing report we produce, this team is responsible for building and operating a unified, scalable, and reliable data platform that serves the entire organization.

As a Data Platform Product Manager, you will own the strategy and execution for centralizing and formalizing the company's data infrastructure , spanning internal operational data, transaction and blockchain data, customer data, and external data sources.

Your mission is to transform a fragmented data landscape into a single source of truth that powers mission-critical reporting, business insights, and downstream product experiences across every team at Anchorage.

This is a force-multiplier role. Your work will elevate the quality, speed, and reliability of every product and team at the company.

You will define the standards, build the platform, and create the foundation that enables Anchorage to scale with confidence.

If you thrive at the intersection of complex data systems, cross-functional influence, and platform thinking, this is your opportunity to have outsized impact at a category-defining company in digital assets.

Below, we define our Factors of Growth & Impact to help Anchorage Villagers measure their impact and articulate feedback, coaching, and the rich learning that happens while exploring, developing, and mastering capabilities within and beyond the Member of Product, Data Platform role:

Technical Skills:

Own the detailed prioritization of the data platform roadmap, balancing foundational infrastructure work, new capabilities, and technical debt.

Demonstrate deep strategic thinking in shaping the platform roadmap, considering the unique data challenges of digital assets, blockchain protocols, and regulated financial services.

Deliver complex, cross-functional projects with multiple dependencies across engineering, analytics, compliance, and operations teams.

Work closely with engineering and data science counterparts to drive product development processes, sprint planning, and architectural decisions.

Ability to understand and reason about system architecture , including data warehousing, ETL/ELT pipelines, streaming vs. batch processing, and modern data stack components , and communicate clear requirements to engineering.

Drive comprehensive go-to-market strategy for internal platform adoption, including defining success metrics, tracking KPIs around data quality and platform usage, and iterating based on data-driven insights.

Complexity and Impact of Work:

Lead and influence cross-functional teams while maintaining strong stakeholder relationships across the entire organization , from engineering to finance to compliance.

Exercise independent decision-making and take full ownership of data platform strategy and execution.

Contribute strategic insights that significantly impact company direction, operational efficiency, and product quality.

Demonstrate platform leadership that elevates the performance and effectiveness of every team that depends on data.

Organizational Knowledge:

Develop deep understanding of Anchorage's business model, product suite, regulatory environment, and organizational structure.

Build and maintain strong relationships with stakeholders across all departments to ensure the data platform serves the company's most critical needs.

Navigate and improve organizational data practices to enhance efficiency, compliance, and decision-making.

Drive company objectives through strategic data platform decisions and initiatives.

Communication and Influence:

Effectively influence and motivate teams across the organization to adopt platform standards and invest in data quality, even when those teams do not report to you.

Enable cross-functional collaboration through clear, consistent communication about platform capabilities, timelines, and data governance expectations.

Act as a thoughtful knowledge partner to senior leadership, translating complex data infrastructure topics into clear business impact.

Proactively communicate platform goals, status updates, and data health metrics throughout the organization.

You may be a fit for this role if you:

5+ years of product management experience, with significant time spent on data platforms, data infrastructure, or data-intensive enterprise products.

Proven experience building or scaling enterprise data platforms , including data warehousing, data lakes, ETL/ELT pipelines, or modern data stack tooling (e.g., Snowflake, Databricks, dbt, Airflow, Spark).

Strong understanding of data modeling, data governance, and data quality frameworks.

Experience working with diverse data types , including transactional data, customer data, financial data, and ideally blockchain or on-chain data.

Track record of driving cross-functional alignment and adoption for internal platform products where you must influence without direct authority.

Exceptional written and verbal communication skills, with the ability to convey complex data architecture concepts to both technical and non-technical audiences.

Your empathy and adaptability not only complement others' working styles but also embody our culture of curiosity, creativity, and shared understanding.

You self describe as some combination of the following: creative, humble, ambitious, detail oriented, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious.

Although not a requirement, bonus points if you have:

You have hands-on experience with blockchain data indexing, onchain analytics, or crypto-native data infrastructure.

You have built data platforms that serve both internal analytics consumers and external client-facing products (reports, statements, dashboards).

You have experience supporting clients with data-related issues or concerns.