Questa posizione è in ArcelorMittal Il processo di selezione sarà interamente gestito ArcelorMittal.
-- 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 vantaggi 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 (Italia)
🏢 ArcelorMittal
📍 Italia