ArcelorMittal
From ArcelorMittal's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Purpose of the Role Own the value and prioritisation layer of the enterprise AI portfolio.
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.
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.
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
Prioritised AI portfolio
Value framework
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.
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