Value & Control Lead
Pubblicato il 20-10-2026 - ArcelorMittal in Italia
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, vantaggi 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 Steer Co 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.