Assistant Vice President, Group Data Strategy

Assistant Vice President, Group Data Strategy & Monetization Join to apply for the Assistant Vice President, Group Data Strategy & Monetization role at FWD Insurance . About FWD Group FWD Group is a pan-Asian life and health insurance business that serves approximately 30 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and digitally enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. For more information, please visit Purpose To support the refreshed Digital Strategy focusing on GenAI, AI and Modern Data Platform, a senior data strategy and monetization leader is strongly needed to help enterprise-wide stakeholders make smarter business decisions, leveraging data and insights, fostering internal communication networks, and drive data & AI adoption and monetization. Lead the insights center of excellence (COE) and serve as a central resource to FWD all BUs. He/she utilizes storytelling and leadership communication skills that are core to the role while adding capabilities to find insights in analytical and operational data as well as technical skills around Data Science & AI, Business Intelligence, and the modern data platform such as Data Mesh. Lead group data strategy and operation design and new data initiative planning to keep FWD data strategy at the leading edge in the insurance industry. Strong understanding of team processes to be the data champion for Group Data, driving the adoption of data solutions, articulating business benefits, securing stakeholder buy-in, and providing strategic direction and business feedback. Drive group-wide data literacy and transformation to embed AI across customer, distribution and employee journeys. Key Accountabilities Drive Smart Insurance Monetization to increase new VNB, improve customer experience and achieve operational excellence. Collaborate with Group Strategy and BUs to define VNB targets for data monetization. Drive Data Monetization execution by providing Subject Matter Expert recommendations. Embed with stakeholder teams to understand business focuses, decisions, and how data insights can plug into business strategy and processes to maximize adoption of insights-driven decision-making. Translate stakeholder data behaviors to technical teams to implement standards and processes that fit existing ways of working. Engage stakeholders to turn business questions into testable hypotheses; prioritize needs and translate requirements for technology, analytics, and data science teams. Utilize AI and data visualization techniques to interpret and communicate complex data clearly. Present insights to diverse audiences using data storytelling and ensure buy-in and implementation of recommendations. Produce statistics to measure product, process, and project outcomes, conduct debriefs, and incorporate learnings for future projects. Own, plan, and execute enterprise-wide data literacy and data storytelling education for users of different seniority and needs. Manage GO data strategy and operations. Qualifications / Experience Bachelors or Masters in Computer Science, MBA, Economics, Communications or related fields. 15+ years of experience in a major financial or consulting organization, with large-scale data or similar program management experience. At least 5 years in a management role, with board-level change or transformation leadership experience. Well versed with industry trends. Advanced communications, marketing, or journalism experience. Experience using business intelligence tools and data visualization best practices. Experience in data and AI monetization. Knowledge & Technical Skills Data strategy design aligned with group strategic directions. Data literacy concepts (descriptive, diagnostic, predictive, prescriptive analytics and use cases). Data Monetization leadership skills. Data storytelling and data visualization best practices. Content creation and knowledge management best practices. Qualitative and quantitative analytical methodologies. Design thinking and creation of user stories; workshop facilitation. Deep understanding of FWD BU’s business and strategic directions; translate group-level data strategy to local contexts. Strong communication skills to gain trust and translate insights into actionable requirements for data teams. Seniorities & Employment Seniority level: Mid-Senior level Employment type: Full-time Job function: Analyst and Strategy/Planning Industries: Insurance We’re committed to equal opportunity employment. Referrals may be considered to increase interview chances. This description reflects the role as currently marketed. #J-18808-Ljbffr