Service Data & AI Transformation Executive Manager
- Strategic Leadership: Define and lead the organization's overarching data and AI strategy, aligning with corporate vision and long-term business goals.
- Executive Collaboration: Partner with C-suite executives and senior leaders to identify high-impact opportunities where data and AI can transform business operations, customer engagement, and revenue streams.
- Business Transformation: Spearhead enterprise-wide initiatives to embed AI and data analytics into core functions, driving innovation, operational efficiency, and competitive advantage.
- Governance & Risk Management: Establish enterprise data governance frameworks, ensuring compliance with regulatory standards, ethical AI practices, and risk mitigation.
- Investment & Resource Allocation: Advocate for and oversee significant investments in data infrastructure, AI tools, and talent acquisition, ensuring alignment with strategic priorities.
- Change Management & Culture: Lead organizational change efforts to cultivate a data-driven mindset and foster cross-functional collaboration, enabling data literacy at all levels.
- Performance & Impact Measurement: Develop KPIs and dashboards to measure the strategic impact of data and AI initiatives, reporting progress to the Board and executive leadership.
- Market & Industry Insight: Maintain awareness of emerging trends, competitive landscapes, and technological advancements to keep the organization at the forefront of innovation.
- Talent & Team Leadership: Build and mentor a high-performant and multi-disciplinary team to support enterprise objectives.
- Master's degree or MBA in Business Administration, Data Science, Computer Science, or related fields; executive education highly preferred.
- Proven track record (typically 10+ years) leading large-scale digital, data, and AI transformations at an executive level.
- Demonstrated success in translating complex data initiatives into business value, with significant experience influencing C-suite and board-level decisions.
- Deep understanding of enterprise data architecture, AI technologies, and their strategic business applications.
- Exceptional leadership, strategic thinking, stakeholder management, and communication skills.
- Experience managing high budgets and large, cross-functional teams.
- Proven ability to develop and execute enterprise-wide data strategies that deliver measurable ROI.
- Familiarity with regulatory frameworks and ethical considerations related to AI and data privacy.
- Strong financial service insights and innovative mindset to proactively identify growth opportunities.
- State-of-the-art Data Technology to drive customer experience
- State-of-the-art Procurement & Sourcing to drive efficiency and better manage risks
- High-Performing Global Team for stronger partnerships with AXA entities
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