AI-Driven Data Product Lead

linklaters; Greater London; Presencial; GBP 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private Medical Insurance

Free in-house fitness centre

Pension

Travel insurance

Season ticket loan

Descripción de la vacante

Linklaters is seeking a Product Owner for Data & AI to lead an integrated product strategy. You will collaborate with cross-functional teams to align technology services with business goals and drive the data & AI roadmap across sprints and planning cycles.

You will own the AI MVP lifecycle, manage governance, and partner with senior stakeholders to prioritise high-value use cases. A strong background in data platforms and Agile practices is essential for success.

Formación

• Experience in product ownership or management in data/AI settings.
• Experience delivering AI/data projects in cross-functional teams.
• Understanding of AI/ML concepts and data architectures.
• Familiar with Agile, Jira and Confluence.

Responsabilidades

• Drive the strategic vision and milestones for the Data & AI product.
• Act as liaison with Generative AI Steering Committee for alignment.
• Own operational oversight of the Data & AI product across sprints.
• Shape long-term service vision with senior stakeholders.
• Partner with Partners and leads to surface unmet needs.
• Lead development and refinement of the service roadmap and backlog.
• Oversee end-to-end lifecycle of AI MVPs from scoping to deployment.
• Advise on external market trends in Data, AI and LegalTech.
• Prepare strategic updates and risk assessments for SteerCo.

Conocimientos

Product ownership

Data governance

AI/ML concepts

Agile methodologies

Stakeholder mgmt

Roadmapping

Backlog mgmt

Cross-functional

Herramientas

Jira

Confluence

Descripción del empleo

Linklaters is seeking a Product Owner for Data & AI to lead an integrated product strategy. You will collaborate with cross-functional teams to align technology services with business goals and drive the data & AI roadmap across sprints and planning cycles.

You will own the AI MVP lifecycle, manage governance, and partner with senior stakeholders to prioritise high-value use cases. A strong background in data platforms and Agile practices is essential for success.