AI Strategy & Value Realization Lead
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Role details
Tech stack
Job description
Orchestration: Convert the overarching AI vision into a structured program of work, steering project lifecycles from initial ideation and Proof of Concept (PoC) through to large-scale production deployment. - Portfolio Management: Direct the global AI portfolio to ensure that high-impact initiatives are effectively prioritized and remain aligned with organizational domains. - Resource Allocation: Manage project budgets, vendor partnerships, and internal delivery capacity to optimize the execution of the global AI roadmap. - Value Realization: Establish and monitor key performance indicators (KPIs) to track AI adoption rates, operational efficiency improvements, and tangible business impact. - Ecosystem & Partnerships: Cultivate strategic partnerships with startups, Venture Capital (VC) firms, and academic institutions, while managing investor relations concerning AI innovation and the project portfolio. AI Governance & Oversight - Governance Oversight: Provide strategic orientation and high-level supervision to the AI Governance & Ethics Manager, ensuring the responsible and compliant adoption of AI technologies across the organization, while delegating the tactical execution of policy development, inventory management, and compliance audits. - Internal Program Governance: Facilitate the preparation and program management of internal governance for key strategic forums, including the Tech Board and AI Acceleration Board. AI Organization & Workforce enablement - CoP Orchestration: Direct the global AI Community of Practice to facilitate the seamless exchange of enterprise-grade best practices, reusable code repositories, and critical lessons learned across technical and business functions. - Literacy & Upskilling: Oversee the strategic development of the AI & Digital Transformation (DT) Academy, crafting specialized training tracks to equip the global workforce with essential responsible AI foundations. - Internal Evangelism: Spearhead “Demo Days,” collaborative workshops, and hackathons to promote innovation milestones and clarify AI capabilities for non-technical stakeholders. JOB DIMENSIONS - Direct Reports: Lead a specialized team of approximately 2 FTEs, providing strategic oversight for AI implementation and enterprise governance initiatives. - Internal Interfaces: Orchestrate cross-functional collaboration with GDS leadership, Product Managers, and Global Functions-including Finance, Commercial, Manufacturing Logistics and Sustainability-alongside regional Digital Centers. - External Interfaces: Cultivate strategic partnerships with third-party vendors and academic institutions for upskilling programs, while representing the organization at global AI innovation summits. PROFILE REQUIRED Sector Experience: Over 5 years of proven success in managing large-scale digital transformation programs, with a preferred focus on the manufacturing industry. - Program Orchestration: Robust proficiencies in program
Requirements
and project management, underpinned by strong financial planning capabilities and business acumen. - Strategic Leadership: Extensive expertise in AI and digital strategy, combined with high-level business acumen and specific domain knowledge. - Technical Literacy: Foundational technical proficiency in artificial intelligence and data-driven frameworks. - Communication Excellence: Superior strategic storytelling and technical documentation skills, with full professional fluency in written and spoken English. Preferred Qualifications - Experience in construction materials, manufacturing, or logistics sectors it’s a plus. Success Measures - Adoption & Value: Number and impact of AI-powered solutions deployed via the platform. - Platform Performance: Uptime, latency, cost efficiency, and scalability metrics. - Business Impact: Tangible improvement in productivity, customer experience, and decision-making. - Innovation Pace: Ability to integrate emerging AI
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