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.

Key Responsibilities

• 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 Benefits 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 - Must Have

• 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
• Benefits 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.