Lead product strategy and roadmaps for an enterprise data platform and Vision Intelligence AI platform. Drive scalable ingestion of structured and unstructured sources, evolve a unified EDP Console, ensure governance, and partner with engineering, data science, and business stakeholders to increase data accessibility, quality, and AI-driven insights.
You will lead the development of scalable data ingestion capabilities supporting both structured and unstructured data sources, drive the evolution of the EDP Console as a unified user experience across platform services, and champion the Vision Intelligence Platform to enable AI-powered insights across the enterprise.
You will partner closely with engineering, architecture, data science, governance, and business stakeholders to create products that improve data accessibility, operational efficiency, quality outcomes, and decision-making. In addition, you will help establish modern AI-driven product management practices across the organisation.
Product Strategy & Leadership
Qualifications- Define and execute product vision, strategy, and roadmap for key Enterprise Data Platform capabilities.
- Use data, user feedback, and business objectives to prioritise investments and measure outcomes.
- Champion modern AI-powered product management practices across the organisation.
- Mentor and develop product managers while fostering a culture of experimentation and continuous learning.
- Lead product strategy for the Vision Intelligence Platform and related AI initiatives.
- Partner with data science and engineering teams to deliver computer vision and AI solutions that improve quality monitoring, diagnostics, and recall identification processes.
- Define success metrics and drive adoption of AI-enabled capabilities across business functions.
- Drive development of scalable ingestion capabilities for enterprise data sources, including Oracle, SQL Server, PostgreSQL, DB2, video, audio, PDF, and presentation assets.
- Ensure solutions are scalable, secure, governed, and compliant with enterprise standards.
- Improve data accessibility and readiness for analytics, machine learning, and generative AI applications.
- Lead the evolution of a unified platform experience that enables users to discover, access, govern, and analyse data through a single interface.
- Integrate capabilities such as data cataloguing, metadata management, semantic discovery, analytics, and cost optimisation.
- Define user experience requirements and adoption metrics.
- Partner with governance, compliance, security, and privacy teams to ensure regulatory compliance.
- Establish best practices for data lifecycle management, quality, observability, and stewardship.
- Monitor platform health, adoption, cost efficiency, and business impact.
Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
- 8+ years of product management experience, including ownership of enterprise software, data platforms, or AI-enabled products.
- Experience leading complex products from strategy through delivery.
- Strong understanding of data platforms, metadata management, data governance, and analytics ecosystems.
- Experience working with structured and unstructured data sources.
- Experience partnering with engineering, data science, and architecture teams.
- Demonstrated experience using AI and Generative AI technologies within product development workflows.
- Excellent communication and stakeholder management skills.
- Experience with Computer Vision, Machine Learning, or Generative AI applications.
- Experience with enterprise cloud platforms such as Azure, AWS, or Google Cloud.
- Familiarity with MLOps, data observability, and data quality frameworks.
- Experience in manufacturing, automotive, mobility, or industrial technology environments.
- Experience leading or mentoring product managers.
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