• Responsible for the strategic leadership and operational excellence of the technology and data functions • Own the roadmap and delivery of digital platforms and core capabilities • Lead a high-performing digital delivery function across product management, platform engineering, integration and analytics • Deliver secure, scalable and reliable services through DevOps, engineering and IT operations • Lead governance for IT, digital and data initiatives, including prioritisation and procurement • Own and operate AI enablement platforms and foundations across the organization • Manage vendor and partner relationships to maximise value and delivery quality

• Lead and manage a team of oncology account managers • Develop and implement strategic account plans • Collaborate with internal teams to identify opportunities for growth • Monitor and analyze customer data for trends • Work closely with customers to understand their needs • Ensure compliance with company policies and industry standards • Stay current with industry trends to inform strategy • Participate in business development activities

Description and Requirements The Asia Data and Analytics Officer will have full responsibility and accountability for leading the ideation and development of actionable and impactful data & analytics solutions for MetLife's Asia Business strategy, tailored to local business needs. Will deliver data and analytics solutions across all critical business functions such as customer acquisitions, loyalty, retention, profitability, risk management, innovation, operations and more. The role involves creating and delivering a data roadmap that aligns with Asia's regional and local business goals and enables data-driven decision making, collaborating with stakeholders and partners, identifying new and novel uses for data and analytics, ensuring the prioritization and delivery of data capabilities, and driving operational excellence and efficiency. Key Responsibilities: 1. Leverage extensive business acumen and technical expertise to drive a regional data and AI strategy that aligns with Asia's business priorities 2. Collaborate across regional and country business units, IT, Infrastructure, Analytics, and vendor partners to develop and execute a comprehensive Regional Data Roadmap. 3. Translate strategic priorities into actionable programs and projects, including AI use cases that enhance customer experience, operational efficiency, and revenue growth. 4. Partner with Tech leads to define and implement architecture, policies, and scalable frameworks for managing data and AI as strategic assets. 5. Ensure the deployment of modern, cost-effective, and standardized tools and platforms that support both traditional data needs and emerging AI capabilities. 6. Lead the onboarding of Asia countries into new platforms, tools, and governance models. 7. Support local teams in identifying opportunities for AI adoption, resolving implementation challenges, and ensuring alignment with regional transformation goals. 8. Drive critical, time-sensitive transformation initiatives across Asia, including the integration of AI into business processes and digital channels. 9. Build strong partnerships with stakeholders at country, regional, and global levels to ensure alignment and impact. 10. Provide regular updates to Senior Asia leadership on the progress and impact of initiatives, ensuring transparency and accountability. 11. Partner with Enterprise Data Governance, Data Engineering and Data Science teams to define an optimized end-to-end data-to-insight cycle, integrating AI-driven analytics and automation where applicable. 12. Act as a change agent to embed a data centric culture across MetLife Asia. echnical Experience • 15+ years of experience in data-related roles, including technical leadership positions within complex, regulated environments. • Proven track record in planning, designing, and implementing data technology strategies across regional or global organizations, preferably in financial services, insurance, or technology consulting. • Deep expertise in cloud-based data platforms (Azure, GCP, AWS), including big data environments, ingestion and curation tools (Spark, Databricks, Delta Lake, BigQuery), and API development. • Strong knowledge of data governance frameworks (DMBOK, COBIT) and hands-on experience with leading tools such as Informatica Axon, EIC, PowerCenter, Data Quality , Collibra, BigID, MDM, and RDM. • Experience in developing and deploying AI solutions, including productivity tools powered by AI and graph database technologies. Business Acumen and Strategic Thinking • Solid understanding of the insurance business and the ability to translate strategic needs into data-driven technology solutions. • Experience leading digital transformation and operational simplification initiatives aligned with regional strategies such as New Frontier. • Ability to define and track business impact metrics and KPIs related to data and AI initiatives. • Project management skills, including building and delivering on effective project plans, identifying risks/obstacles, developing contingency plans and recommending solutions for resource constraints. • Experience developing/designing data roadmaps in complex regulated organizations with legacy technology infrastructure. Soft Skills and Organizational Leadership • Critical thinking, complex problem-solving, and a digital mindset focused on innovation and continuous improvement. • Excellent communication skills in both Spanish and English, with the ability to engage executive and technical audiences. • Collaborative and inclusive leadership style, with the ability to build trusted relationships and collaborate across global, diverse and multi-functional teams to successfully drive business objectives . • Customer-centric and results-oriented, with a strong ability to motivate teams and foster a culture of continuous learning. Ability to gain people commitment to achieve business objectives through clear communication of the MetLife vision and flexing leadership styles to inspire high performance. About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!

• Own senior-most consulting relationships with C-Suite executives (CEO, CFO, COO, CAIO, CTO) at Fortune 1000 and PE-portfolio clients across transformation engagements. • Serve as Blend360's trusted strategic advisor to client leadership—guiding them through the business case, organizational implications, and risk landscape of agentic adoption. • Lead executive steering committees, board-level briefings, and transformation governance forums on behalf of our clients. • Cultivate deep, multi-year relationships that expand Blend360's footprint within accounts and generate new opportunities through referral and reputation. • Lead the design and facilitation of Agentic Transformation roadmaps—defining the sequencing, business value, and organizational change required to move clients from current state to agentic maturity. • Frame transformation in terms of business outcomes: cost efficiency, revenue growth, competitive differentiation, risk reduction—not technology outputs. • Assess and guide organizational readiness for agentic transformation—spanning culture, workforce, governance, operating model, and change capacity. • Help clients design the structures, roles, and accountability models needed to sustain agentic operating models beyond initial implementation. • Translate technical complexity into clear, resonant narratives for non-technical executives and boards.