The industry association driving digital transformation through collaboration.
VP, IT
Location
South Africa
Posted
16 days ago
Salary
0
Seniority
Lead
Job Description
VP, IT
TM Forum
• 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
Job Requirements
- Strong ability to translate business priorities into clear strategic roadmaps
- Deep understanding of SaaS, cloud, platform engineering and web technologies
- Proven ability to lead high-performance teams and large cross-functional programmes
- Skilled in budget oversight, prioritisation, governance and risk management
- Strong grasp of data governance, analytics, integration and information security
- Technical expertise in AI-enabled tooling and digital transformation
- Experience with high-quality, trusted data to power decision making
- Bachelor's degree or higher in a relevant field (assumed)
Benefits
- Flexible working hours
- Health insurance
- Remote work options
- Professional development opportunities
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VP, Asia Data and Analytics Officer
MetLifeMetLife is a leading insurance and financial services company based in New York, New York. The company and its affiliates specialize in employee benefits and li
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. 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