Platform Product Owner - Data Analytics

Responsibilities

• 🔹 Product Ownership & Strategy
• Own the product vision, roadmap, and backlog for reporting, visibility, and analytics capabilities across the SCP ecosystem.
• Translate customer problems and operational needs into clear, actionable product requirements and success metrics.
• Drive continuous improvement of reporting products with a strong focus on usability, performance, and value realization .
• Balance long-term platform strategy with short-term customer and operational commitments.
• 🔹 Customer & Stakeholder Management (Core to the Role)
• Act as the primary point of contact for customer stakeholders on reporting and analytics topics.
• Lead discovery sessions with customers, regional teams, operations, and leadership to understand reporting needs, gaps, and priorities.
• Manage expectations, communicate trade-offs, and provide clear updates to both technical and non-technical stakeholders .
• Build trusted relationships with senior internal leaders by providing transparency on delivery status, risks, and outcomes.
• 🔹 Data Quality, Governance & Reliability
• Champion data accuracy, consistency, and governance across reporting products.
• Partner with data engineering and platform teams to improve automation, metadata management, and data pipelines.
• Set standards for definitions, metrics, and reporting structures to ensure one version of the truth.
• Respond decisively to data quality issues impacting customers or operations.
• 🔹 Collaboration & Execution
• Work closely with engineers, analysts, designers, and architects to deliver scalable reporting solutions.
• Provide clear acceptance criteria, prioritize effectively, and unblock teams when challenges arise.
• Support adoption and change management by ensuring reporting products are intuitive, documented, and actionable.
• Technical Requirement:
• 7-10 years of experience across product management, analytics, BI, or data platforms.
• Proven experience owning customer-facing reporting or analytics products in complex enterprise environments.
• Demonstrated ability to manage senior stakeholders , including customers, leadership, and cross-functional partners.
• Experience running delivery in agile teams and coordinating across multiple workstreams.
• Technical & Data Skills
• Strong hands-on data literacy with experience in: SQL
• Excel (advanced)
• BI tools such as Power BI, Tableau, or QuickSight
• Understanding of modern data architectures, including: Data pipelines & ETL
• APIs (REST/Data APIs)
• Metadata and governance concepts
• Exposure to Python and AI-enabled analytics products is a strong plus.
• Ways of Working
• Excellent communicator-clear, structured, and confident with senior stakeholders.
• Comfortable navigating ambiguity, competing priorities, and operational pressure.
• Strong ownership mindset with a customer-first, service-oriented approach .
• Able to influence without formal authority and align diverse teams behind shared outcomes.
• Maersk is committed to a diverse and inclusive workplace, and we embrace dif

Benefits

Additional Information

Introduction: Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk.

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