Data Platform Product Owner MMH261102-7

Role Purpose

Provide end-to-end leadership and ownership of the enterprise data platform, ensuring it is reliable, secure, scalable and aligned to business and technology strategy. The role balances hands-on technical leadership with platform governance, vendor management and enablement of analytics, engineering and data teams.

Requirements

Qualification and Certification

• 3-year degree or diploma in Information Systems, Engineering or similar
• Cloud or data platform certifications (e.g. AWS, Azure, Snowflake, Databricks) (desirable)

Knowledge

• Product management practices (roadmapping, backlog management, prioritisation)
• Value-based decision making
• Platform-as-a-product thinking
• Enterprise data platform architectures and operating models
• Cloud-native data platforms and services
• Data warehousing, lakehouse and streaming concepts
• Platform security, access control and compliance
• Data governance, metadata and lineage tooling
• Platform observability, reliability engineering and FinOps
• DevOps, CI/CD and infrastructure-as-code
• Software Development Lifecycle (SDLC)
• Vendor and partner management

Experience

• 7+ years’ experience in data engineering, platform engineering or related roles (essential)
• Proven experience owning or leading enterprise data platforms
• Experience working with analytics, AI and data science teams
• Experience with cloud-based data platforms and orchestration tools
• Experience acting as a Product Owner or Product Manager for a data or technology platform.

Skills

• Backlog refinement and prioritisation
• Stakeholder negotiation and trade-off management
• Translating strategy into incremental platform capabilities
• Strong understanding of cloud data ecosystems and platform tooling AWS, Microsoft, Snowflake or Databricks
• Ability to operate at both strategic and hands-on technical levels
• Business Communication
• Problem Solving

Duties and Responsibilities

INTERNAL PROCESS

• Own the enterprise data platform roadmap, architecture and operating model.
• Lead the design and evolution of scalable, secure and resilient data platform architectures (e.g. lakehouse, warehouse, streaming).
• Define and enforce platform standards, patterns and guardrails for data ingestion, transformation, storage and consumption.
• Ensure high availability, performance, security and cost efficiency of the data platform.
• Embed data governance, quality, lineage, metadata and security controls into the platform by design.
• Partner with Data Engineering, Analytics, Architecture, Security and Cloud teams to enable consistent platform usage.
• Translate business, analytical and AI requirements into platform capabilities and services.
• Accountable for outcomes of platform environments
• Prioritise lifecycle investments and technical debt
• Assess and manage the impact of upstream and downstream system changes on the data platform.
• Agree service expectations with consumers
• Ensure responsible handling of sensitive, confidential and regulated data in line with governance and regulatory requirements.
• Enable self-service analytics and data product development through well-designed platform capabilities.
• Proactively identify opportunities to improve platform maturity, automation and developer experience.

CLIENT

• Act as the primary platform owner and trusted advisor to business and technology stakeholders.
• Build strong relationships with senior stakeholders, vendors and implementation partners.
• Ensure platform services meet agreed service levels and consumer expectations.
• Provide recommendations to improve time-to-data, platform adoption and business value realisation.
• Support a culture of transparency, collaboration and shared platform ownership across teams.

PEOPLE

• Work with delivery teams
• Establish and promote platform engineering best practices and standards.
• Coach teams on effective and efficient platform usage.
• Drive a culture of reliability, automation and continuous improvement.
• Take ownership of talent development, succession planning and capability uplift within the platform domain.

FINANCE

• Own and optimise data platform costs, ensuring value-for-money and sustainable scaling.
• Manage platform budgets, vendor contracts and licensing.
• Identify and mitigate risks related to platform availability, security, compliance and resilience.
• Provide input into enterprise risk, audit and compliance processes.

PRODUCT OWNERSHIP & VALUE

• Own and maintain the data platform product vision, roadmap and backlog
• Prioritise platform features and capabilities based on business value, risk and strategic alignment
• Define platform value metrics (adoption, time-to-data, reuse, satisfaction)
• Act as single decision authority for platform scope and priorities

STAKEHOLDER & CONSUMER FOCUS

• Represent the needs of analytics, AI, data engineering and business consumers
• Balance competing stakeholder demands through transparent prioritisation
• Drive platform adoption through clear value propositions

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