Enterprise Data&AI Strategy Leader

<p><strong>Manager / Senior Manager – Data&AI Strategy and Transformation</strong></p><p><strong>Role Overview</strong></p><p>We are seeking a highly experienced<strong>Data&AI Strategy Manager</strong>to drive enterprise-wide data and artificial intelligence initiatives for a large-scale digital transformation program. This role requires a unique blend of<strong>strategy consulting, AI transformation expertise, data governance leadership, and modern data platform knowledge</strong>.</p><p>The successful candidate will work closely with<strong>C-level executives across Technology, Finance, and Business units</strong>to define and operationalize the organization’s<strong>Data&AI strategy</strong>, build governance structures, enable advanced analytics capabilities, and drive measurable business value.</p><p>This is a<strong>high-impact leadership role</strong>requiring strong executive communication skills, deep understanding of enterprise data ecosystems, and the ability to translate strategic vision into operational programs.</p><p><strong>Key Responsibilities</strong></p><p><strong>1. Enterprise Data&AI Strategy</strong></p><ul><li>Define and evolve the<strong>enterprise Data&AI strategy</strong>, aligned with business priorities and digital transformation objectives.</li><li>Develop<strong>multi-year AI and data roadmaps</strong>, identifying key use cases and value opportunities.</li><li>Advise C-suite leaders on<strong>AI adoption, data monetization, and digital innovation strategies</strong>.</li><li>Translate strategy into<strong>implementation programs, governance frameworks, and capability development plans</strong>.</li></ul><p><strong>2. AI Governance&Operationalization</strong></p><ul><li>Design and implement<strong>AI governance frameworks</strong>including policies, standards, risk management, and responsible AI practices.</li><li>Define operating models for<strong>AI lifecycle management</strong>, including model development, deployment, monitoring, and continuous improvement.</li><li>Enable enterprise readiness for<strong>Agentic AI and emerging autonomous AI systems</strong>, ensuring alignment with security, compliance, and operational controls.</li><li>Work with technology teams to embed AI capabilities into business processes and enterprise systems.</li></ul><p><strong>3. Data Governance&Data Management</strong></p><ul><li>Lead the design and implementation of<strong>enterprise data governance frameworks</strong>.</li><li>Define<strong>data operating models</strong>, including roles such as data owners, stewards, and governance councils.</li><li>Develop and enforce<strong>data policies, standards, and quality frameworks</strong>.</li><li>Drive enterprise adoption of<strong>Master Data Management (MDM)</strong>solutions, including experience with<strong>SAP Master Data Governance (SAP MDG)</strong>.</li><li>Ensure alignment between<strong>business processes, enterprise systems, and data standards</strong>.</li></ul><p><strong>4. Data&Analytics Enablement</strong></p><ul><li>Drive adoption of<strong>enterprise analytics platforms</strong>to enable data-driven decision making.</li><li>Lead development of<strong>Business Intelligence and advanced analytics capabilities</strong>.</li><li>Guide teams in building scalable reporting and insights solutions using<strong>Power BI</strong>.</li><li>Work with business stakeholders to define<strong>analytics use cases, KPIs, and performance dashboards</strong>.</li></ul><p><strong>5. Modern Data Platform&Engineering Collaboration</strong></p><ul><li>Provide strategic oversight for modern<strong>data platform architectures</strong>, particularly within the<strong>Microsoft Azure ecosystem</strong>.</li><li>Collaborate with engineering teams on:</li><li>Data lake / lakehouse architectures</li><li>Enterprise semantic models</li><li>Scalable analytics platforms</li><li>Support adoption of modern platforms such as<strong>Microsoft Fabric</strong>.</li><li>Ensure alignment between<strong>data architecture, governance, and analytics requirements</strong>.</li></ul><p><strong>6. Executive Communication&Strategy Advisory</strong></p><ul><li>Create and deliver<strong>high-impact C-level presentations</strong>to communicate strategy, transformation plans, and progress updates.</li><li>Develop board-level materials on<strong>Data&AI transformation initiatives</strong>.</li><li>Facilitate executive workshops and strategic decision-making sessions.</li></ul><p><strong>7. Program Leadership&Stakeholder Management</strong></p><ul><li>Lead<strong>large-scale enterprise transformation programs</strong>spanning Data, AI, and Digital capabilities.</li><li>Manage senior stakeholders across<strong>CIO, CFO, Data&Analytics leadership, and business units</strong>.</li><li>Coordinate cross-functional teams including<strong>data engineers, data scientists, architects, and governance teams</strong>.</li><li>Track program progress, manage risks, and ensure delivery of strategic