Technical Product Operations Manager - Data Platform

Overview

This is a cross-functional role that bridges product management, operations, and solution engineering. You’ll own how the Data Platform team runs, evolves, and scales - from the workflows that move through internal tooling to the platform that transforms raw healthcare data into Accorded’s solutions.

You’ll treat the Data Platform like a product: driving automation, feature expansion, and scalability while partnering closely with Accorded Leadership, Engineering, Customer Solutions, and our customers. This role is ideal for someone who loves solving puzzles, working hands-on with data and customers, and finding smarter, more automated ways to do things - while having room to grow as the platform (and company) scales.

Key Responsibilities

Operational Leadership & Frameworks

• Own and evolve the team’s operating framework - Jira workflows, prioritization, capacity planning, QA checkpoints, and release processes.
• Take extreme ownership of integrations and customer data runs, ensuring predictable, high-quality delivery while maintaining visibility into capacity, blockers, and priorities across Product, Engineering, and Customer Solutions.
• Continuously look for ways to simplify how the team plans, builds, and releases work.
• Partner closely with Customer Solutions during onboarding and implementation to schedule work, validate data fit, troubleshoot data issues, and ensure smooth delivery.

Data Platform Product Ownership

• You will be the product manager for our data platform - from inbound data automation through the Core Data Model (CDM).
• Expand and standardize inbound data capabilities: increase the range of supported formats and build reusable ingestion patterns.
• Enhance the CDM to support new Acumen and tech-enabled services use cases.
• Build and maintain a roadmap and backlog for data platform evolution - prioritizing automation, scalability, and interoperability.

Data Solution Engineering & Customer Enablement

• Be the voice of the data in Acumen: ensure customer data fits effectively into the Accorded platform while maintaining product scalability and standards.
• Work directly with customers to understand their data sources, structures, and business context - guiding how to align them with the CDM and Acumen outputs and translate that into internal requirements and guidance.
• Enable our customers to achieve maximum value from the platform in a scalable way.

Automation & Continuous Refinement

• Be the champion of automation - building a living backlog of process and tooling improvements across ingestion, validation, and delivery workflows.
• Identify opportunities to inject AI into our manual workflows to reduce manual touchpoints, catch errors early, and improve reliability across workflows.

Qualifications

• 3-5 years of experience in product management, technical program/operations management, or data solutions engineering.
• Strong technical fluency in data systems (SQL, data pipelines, BigQuery, dbt, Airflow).
• Experience with healthcare data (claims, enrollment, encounters, clinical data).
• Proven track record of driving automation and process optimization in data-heavy environments.
• Excellent communication and systems-thinking skills.

What Success Looks Like

• The Data Platform runs predictably, with visibility and minimal manual intervention.
• Inbound data ingestion and transformation are increasingly automated and standardized.
• The CDM evolves to support new use cases and internal customers in a highly scalable way.
• Customer onboarding and runs happen through repeatable, automated and scalable workflows.
• Collaboration across teams feels seamless, transparent, and efficient.

Accorded is located in the San Francisco Bay Area. Remote candidates living and authorized to work in the continental United States are eligible to apply.

Accorded is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment and do not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.