21 ott - Italia
ArcelorMittal
Questa posizione è in ArcelorMittal
Il processo di selezione sarà interamente gestito ArcelorMittal.
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# 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 vantaggi-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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