HAPI - Product owner, Data Platform and Data Products

Aquiva and Hapi; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

Hapi (Data Travel, LLC) seeks a technically-minded Product Owner to join our Engineering team and lead the strategy, prioritization, and delivery of the Data Platform and Data Products. This hands-on role sits within Data Engineering, bridging data infrastructure with business value.

You own the end-to-end backlog for the AWS-native data platform, collaborating with Data Engineers, Analysts, Solutions Architecture, and Implementation/Support to translate complex requirements into actionable work

Qualifications

• 2–4 years of experience as a Product Owner or Product Manager with data engineering or data platform ownership.
• Hands-on experience in Agile/Scrum; writing tickets, planning sprints, refining a live backlog.
• Strong knowledge of modern cloud-native data architectures (data lakes, lakehouses, ELT/ETL).
• Experience with AWS data services (S3, Glue, Athena, Airflow, DynamoDB, Aurora).
• Ability to read and evaluate data pipeline logic, models, and schemas; not required to write code.
• Experience defining data contracts, data quality requirements, or SLA frameworks for data pipelines.
• Proven ability to bridge technical teams with non-technical stakeholders; clear documentation.

Responsibilities

• Own and maintain the data platform product backlog; keep it aligned with technical and business objectives.
• Co-author epics, features, and user stories with Data Engineers; include acceptance criteria and data contracts.
• Facilitate sprint planning and backlog grooming with the Data Engineering team lead.
• Triages requests from Product Management, Data Analysts, Solutions Architecture, and Support; translate to backlog items.
• Remove blockers and elevate delivery risks to leadership.

Skills

Agile/Scrum

Backlog management

Data platform

Stakeholder management

Data governance

Communication

Jira

AWS data services

Education

Bachelor's degree in Computer Science / Information Systems / Data Engineering

Tools

Jira

AWS

Airflow

S3

Glue

Athena

DynamoDB

Aurora

Job description

Hapi (Data Travel, LLC) is looking for a technically-minded Product Owner to join our Engineering organization and drive the strategy, prioritization, and delivery of our Data Platform and Data Products. This is a hands‑on, highly collaborative role embedded within our Data Engineering team, working at the intersection of data infrastructure and business value.

You will own the end-to-end backlog for our AWS-native data platform, from raw data ingestion and pipeline orchestration through data cataloging, governance, and the delivery of APIs and insights that power both internal teams and customer‑facing products. You will be the connective tissue between Engineering, Product Management, Data Analysts, Solutions Architecture, and Implementation/Support. You will translate complex technical requirements into clear, actionable work while keeping the broader roadmap aligned with business priorities.

This is not a purely strategic role. You will be in the details: co‑authoring tickets with engineers, triaging data quality issues, reviewing pipeline specs, and ensuring delivery stays on track. If you thrive in a fast‑paced, technical environment and care deeply about data as a product, this role is for you.

Key Responsibilities

Backlog Ownership & Agile Delivery

• Own and maintain the data platform product backlog, ensuring it is well-prioritized, visible, and aligned with both technical and business objectives.
• Co-author epics, features, and user stories with Data Engineers, including clear acceptance criteria, data contracts, and technical specifications.
• Facilitate sprint planning, backlog grooming, and retrospectives in partnership with the Data Engineering team lead.
• Actively triage incoming requests from Product Management, Data Analysts, Solutions Architecture, and Implementation/Support, translating them into actionable backlog items.
• Remove blockers and elevate risks or delivery challenges proactively to the Head of Engineering.

Data Platform & Pipeline Ownership

• Define and prioritize requirements for AWS‑native data ingestion pipelines, ETL/ELT workflows, and data lake architecture, in close collaboration with Data Engineers.
• Own the data catalog and governance backlog, ensuring data assets are documented, discoverable, and reliable for downstream consumers.
• Drive requirements for data quality frameworks, monitoring, and SLA definitions across platform pipelines.
• Partner with Application Engineering to ensure data products and APIs are integrated effectively into customer‑facing and internal systems.

Data Product Delivery

• Translate business and analytical requirements from Data Analysts and Product Managers into clearly defined data product specifications, including datasets, APIs, and dashboard‑ready outputs.
• Define success metrics for data products and monitor adoption, quality, and performance post‑launch.
• Ensure data products meet the latency, reliability, and scalability requirements of a high‑volume SaaS environment.

Roadmap & Stakeholder Collaboration

• Collaborate with the Product Management team and Solutions Architecture to maintain a coherent data platform roadmap, balancing near‑term delivery with long‑term platform health.
• Serve as the primary point of contact for Implementation and Support teams on data‑related questions, bugs, and feature requests.
• Provide regular, transparent updates on platform progress, risks, and upcoming milestones to Engineering leadership and cross‑functional stakeholders.
• Gather feedback from internal and external data consumers to inform continuous platform improvement.

Skills, Knowledge and Expertise

• 2–4 years of experience as a Product Owner or Product Manager with direct ownership of data engineering, data platform, or data infrastructure products.
• Hands‑on experience working within Agile/Scrum teams as a PO – writing and refining tickets, running sprint ceremonies, and managing a live backlog.
• Strong working knowledge of modern cloud‑native data architectures, including data lakes, lakehouses, and ELT/ETL pipeline patterns.
• Practical experience with AWS data services (e.g., S3, Glue, Athena, Air Flow, DynamoDb, Aurora Clusters, etc.) – AWS Cloud Practitioner certification is a plus.
• Ability to read and critically evaluate data pipeline logic, data models, and schema definitions – you don't need to write production code, but you need to understand what engineers are building.
• Experience defining data contracts, data quality requirements, or SLA frameworks for data pipelines.
• Proven ability to bridge technical data engineering teams and non‑technical business stakeholders, translating between both directions fluently.
• Experience with Jira for backlog management and sprint tracking.
• Strong written and verbal communication skills, with a track record of producing clear, concise technical documentation and requirements.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field – or equivalent practical experience.

Preferred Qualifications

• Experience with data catalog or data governance tooling
• Familiarity with data API design – REST or GraphQL – and experience defining requirements for data product delivery via APIs.
• Experience in or strong understanding of the hospitality industry
• Familiarity with hospitality data standards such as HTNG, or experience integrating with Property Management Systems (PMS).
• Experience working with Solutions Architecture teams on multi‑tenant SaaS platform design.
• Experience in a fast‑paced growth‑stage company or working with modular, platform‑based product architectures.