IT Senior Manager, Data, Analytics AI Product Portfolio Management

Cromwell Banks; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

Cromwell Banks is seeking an IT Senior Manager to lead the strategy, design, delivery and lifecycle management of enterprise Data, Analytics and AI products enabling business transformation. You will own the enterprise Data & AI Product Portfolio, ensuring demand translates into scalable, governed data products and enduring assets, with accountability across Product Owners.

The role drives demand management, solution design, delivery execution, vendor management and AI innovation, partnering

Qualifications

• Proven leadership in Data, Analytics, AI delivery.
• Strong Data Product Management across an enterprise portfolio.
• End-to-end lifecycle ownership of Data, Analytics and AI products.
• Experience applying governance, data quality and data catalogue standards.

Responsibilities

• Lead strategy, design, delivery and lifecycle of data/analytics/AI products.
• Own enterprise Data & AI Product Portfolio with governance and accountability.
• Partner with business stakeholders to scale use cases and value.
• Oversee demand management, solution design, delivery execution and vendor management.
• Engage senior stakeholders across the organisation.

Skills

Leadership

Data product management

Portfolio management

Solution design

Delivery management

SAP delivery

Data governance

Data quality

Data catalogue

Stakeholder engagement

Tools

Microsoft Purview

Collibra

Alation

OMP

Job description

My client, a leading multinational, is looking for an IT Senior Manager – Data, Analytics, AI Products Portfolio Management to lead the strategy, design, delivery and lifecycle management of enterprise Data, Analytics and AI products that enable business transformation and deliver measurable value. The role owns the enterprise Data & AI Product Portfolio, ensuring business demand is translated into scalable, reusable and governed data products — catalogued, assigned accountable Product Owners, and continuously improved as enduring strategic assets rather than one-off projects.

Providing leadership across demand management, solution design, delivery execution, vendor management and AI innovation, the role drives the development and scaling of Data, Analytics, Data Science, Generative AI and Agentic AI use cases in partnership with business stakeholders. It requires strong leadership, commercial acumen, vendor management expertise and the credibility to engage senior stakeholders across the organisation.

• Proven leadership experience in Data, Analytics, AI or technology delivery, managing teams and delivery partners.
• Strong Data Product Management experience, ideally within an enterprise data product portfolio or product-centric operating model. Manage the end-to-end lifecycle of Data, Analytics and AI products from ideation to retirement, overseeing prioritisation, resource planning and delivery governance.
• Define, establish and manage the enterprise Data & AI Product Portfolio aligned to strategic priorities, leading portfolio prioritisation and investment decisions.
• Maintain a roadmap of reusable data products, analytics capabilities and AI solutions within a product-centric operating model with clear ownership, funding and lifecycle management.
• Strong solution design and enterprise delivery-management experience across Data, Analytics and AI initiatives, including AI and Generative AI solutions.
• Strong SAP delivery and solution experience.
• Experience applying Data Governance, Data Quality and Data Catalogue standards within delivery, in partnership with a governance function.

Preferred:

• Experience establishing Data Product Ownership models and leading Data Product organisations or Centres of Excellence.
• Experience with enterprise Data Catalogue platforms such as Microsoft Purview, Collibra or Alation.
• Experience with enterprise operational and planning systems such as OMP and industrial data platforms.
• Experience with enterprise AI governance, Responsible AI and AI operating models.