Product Owner, Data Platform

The Data Platform Product Owner is responsible for helping define, prioritize, and drive the evolution of the enterprise data platform as a product. The role will help ensure that the platform is designed to address business needs and is tailored to the organization structure and scale, while simultaneously being an advocate for data-driven decision-making and the enablement of the platform across the organization. Acting as the bridge between business domains, data platform teams, and engineering, the Product Owner translates business needs into clear platform requirements, defines priorities, and ensures delivery of capabilities that maximize business value. The role is accountable for maintaining a clear product vision, roadmap, and backlog for the platform, balancing strategic initiatives (e.g., data products, governance, marketplace, migration) with operational stability and efficiency. The Product Owner works closely with platform engineering, data architects, other Product Owners and DevOps teams to ensure that platform capabilities are delivered in a standardized, reusable, and scalable manner. They also collaborate with business stakeholders and product teams to define how the platform is consumed, ensuring clarity in delivery models, ownership, and support structures. A key responsibility of the role is to establish and enforce ways of working for the platform, including intake processes, prioritization frameworks, and governance standards. This includes ensuring that data product ownership, privacy-by-design, and compliance requirements are consistently embedded across all platform use cases. As a key figure in a global, organizational-scale software initiative, the Data Platform Product Owner must be a promoter of the Agile mindset and a champion of continuous delivery and feedback, cooperating with the DevOps teams to implement practices that generate incremental and steady feature delivery at scale that adapts quickly to feedback and business changes. The role contributes to the continuous improvement of the platform by identifying gaps, driving enhancements, and aligning platform evolution with broader strategic initiatives such as data mesh adoption, data governance, and cloud transformation. Working closely with delivery leads, architects, and business product owners, the Data Platform Product Owner ensures a clear and transparent roadmap, enabling high-quality, secure, and scalable solutions that support both current operations and future growth.

Main Responsibilities Vision & Product Strategy

• Define and maintain a clear product vision for the platform, balancing innovation, scalability, and operational stability.
• Own and manage the Data Platform product roadmap and backlog, ensuring alignment with business priorities and strategic initiatives.
• Monitor platform adoption and usage, identifying gaps and driving continuous improvements.

Stakeholder & Business Engagement

• Act as the primary interface between business stakeholders, data product teams, and platform engineering.
• Translate business needs into clear, actionable requirements and priorities.
• Foster an understanding of product goals and vision. Ensure alignment on expectations, ownership, and delivery outcomes across stakeholders.

Product Delivery & Advocacy

• Lead and coordinate platform-related initiatives end-to-end (e.g., data products, governance, marketplace, migration), ensuring delivery against agreed scope, timelines, and expected business outcome.
• Drive project management activities, including planning, tracking, risk management, and escalation handling.
• Champion the promotion of the platform across the business functions and advocate for its usage in upcoming analytics or data-driven initiatives across domains.

Operating Model & Governance

• Define, implement, and continuously improve the platform operating model (delivery models, ownership, support).
• Establish and govern intake, prioritization, and demand management processes.
• Ensure transparency on capacity, trade-offs, and prioritization decisions.

Platform Standards & Compliance

• Ensure adoption of platform standards, including data product frameworks, privacy-by-design, and governance requirements.
• Work with relevant teams to embed compliance and data ownership practices across all use cases.

Collaboration with Engineering & Architecture

• Collaborate with architects and engineering teams to ensure scalable, reusable, and maintainable platform capabilities.
• Align platform evolution with enterprise architecture and long-term technology strategy
• Contribute to identifying and prioritizing technical improvements and platform enhancements.

Communication & Reporting

• Provide clear and consistent communication to stakeholders and leadership.
• Share roadmap updates, delivery progress, risks, and key decisions.
• Ensure transparency and alignment across all platform-related initiatives. Other responsibilities / duties as assigned.

Why work at Olympus? At Olympus, we are committed to fostering a high-performing culture, a collaborative environment, and empowering everyone to shine. Our shared values—integrity,

empathy, long-term view, agility, and unity—form the foundation of our culture and guide our behavior. These values ensure that our people feel they are making a meaningful difference every single day.

What we are looking for: Education:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Business, or a related field (or equivalent practical experience)
• Certification in Agile methodologies (e.g., Scrum, SAFe) is a plus but not mandatory.

Experience:

• 8-12+ years of experience in IT, data platforms, or analytics environments, with exposure to large-scale enterprise systems
• Proven experience in product ownership, platform management, or project/program management in complex environments.
• Proven experience working in Agile environments and managing backlogs, priorities, and delivery cycles using relevant methodologies and tools.
• Experience working with cross-functional teams (engineering, architecture, and business stakeholders) in data-driven initiatives.
• Strong understanding of data platforms, data product thinking, and related functionalities of the ecosystem (e.g., cloud platforms, data pipelines, APIs, analytics tools).
• Familiarity with data governance, data cataloging, data privacy, and compliance concepts (e.g., data ownership, data classification, or privacy-by-design).

Leadership / Coordination Experience

• Experience leading cross-functional initiatives and coordinating multiple stakeholders without direct authority
• Proven ability to drive alignment across business and technical teams in complex environments
• Experience working with Product Owners, Architects, Engineers, and external partners/vendors.

Apply Now: To submit your interest in this opportunity, select "Apply for this job."

Want to know more? Confidential discussions are welcome; contact our TA Partner. Olympus is an Equal Opportunity Employer. "We are deeply committed to fostering a respectful, fair, and welcoming workplace for all individuals, perspectives, and lifestyles. We believe in fostering a nondiscriminatory, inclusive work environment where everyone feels a sense of belonging, in full compliance with legal standards. Empathy and unity are core to our company culture, empowering employees to contribute fully and flourish. We warmly encourage all who wish to bring their talents to Olympus to apply."