Value & Control Lead

Purpose of the Role Own the value and prioritisation layer of the enterprise AI portfolio. Translate enterprise priorities into a governed, capacity-aware portfolio and ensure every activated use case has accountable business ownership, measurable outcomes, funding clarity, and a credible path to adoption and operations.

Own the enterprise AI demand and value portfolio, including prioritisation criteria, value hypotheses, benefit owners, funding logic, and portfolio trade-offs.

• Chair portfolio prioritisation and value reviews with business sponsors, CIOs, Product Owners, Finance, and the AI CoE.
• Ensure each use case has a named Business Owner, Product Owner, Data Owner, Operations Owner, and Finance

Partner before activation.

• Align demand with India platform and pod capacity; recommend activation, deferral, sequencing, or de-scoping decisions.
• Define objectives, key results, adoption measures, and value-realisation evidence; maintain an executive portfolio dashboard.
• Challenge business cases and benefit claims constructively; distinguish technical delivery, adoption, and realised business value.
• Coordinate funding and chargeback decisions for platform, shared CoE services, and use-case delivery.
• Own executive narrative and portfolio recommendations for the AI SteerCo and Zenith governance. Experiences 15+ years in portfolio, transformation, product, or value management, including 3+ years in data, AI, or digital transformation. P1 -

Large-scale portfolio/value governance in a multinational, multi-vendor environment.

• Business-case shaping, benefits tracking, capacity allocation, and executive prioritisation.
• Ability to translate AI opportunities into measurable business outcomes and adoption commitments.
• Finance acumen covering investment logic, platform versus use-case funding, chargeback, and value evidence.
• Executive communication and facilitation skills; ability to challenge assumptions and resolve cross-functional trade-offs.
• Working understanding of Responsible AI, security, data readiness, and product lifecycle dependencies. P2
• Preferred
• Experience in manufacturing, steel, or asset-heavy industries.
• Product portfolio management and stage-gate investment governance.
• Power BI or equivalent executive reporting.
• PMP/PgMP, SAFe Lean Portfolio Management, or product management certification. Core Competencies
• Stakeholder orientation and executive influence
• Results and value orientation
• Courage to challenge and sound judgement
• Cross-cultural collaboration across Europe and India
• Learning agility and capability building
• Structured decision-making and transparent governance Key Deliverables
• Prioritised AI portfolio
• Value framework -

register

• Funding and ownership map
• Capacity-allocation recommendations
• Executive value dashboard
• Portfolio decision packs First 90 Days
• Confirm the portfolio taxonomy, prioritisation model, and benefit-owner requirements.
• Baseline all active and proposed use cases with ownership, value hypothesis, funding, and readiness.
• Run the first portfolio/value review and establish the executive dashboard.
• Take ownership of at least one activation or sequencing decision using evidence from business, architecture, data, and capacity reviews.

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