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.

📌 Value & Control Lead (España)
🏢 Arcelormittal
📍 España