Manager Analytics and AI Commercialization

GCB 5 We are currently seeking a high calibre professional to join our team as a Manager Analytics and AI Commercialization. In this role you will: • We are seeking a highly analytical and strategic thinker to join our team as a Business Strategy Analytics Specialist at the GCB5 level. This critical role focuses on leveraging data-driven insights to shape business strategies, improve decision-making, and drive long-term organizational growth. The ideal candidate will possess expertise in analytics and business strategy development, with a strong ability to translate complex data into actionable strategies that enhance operational efficiency, customer experience, and competitive positioning. A solid understanding of the banking and financial services sector is essential to ensure analytics initiatives align with organizational objectives and regulatory requirements. Who You Are: • A strategic problem-solver with a passion for using data and analytics to drive business innovation and growth. • A self-starter with a "builder" mentality, eager to design frameworks and implement solutions that address complex business challenges. • Driven by curiosity and a desire for continuous learning, thriving in dynamic environments where experimentation is encouraged. • Comfortable challenging the status quo, testing new approaches, and adapting quickly to emerging trends and technologies. • A collaborative communicator who can articulate data-driven strategies to diverse audiences, including senior leaders and stakeholders. Key Responsibilities: Strategic Analytics and Business Integration: • Collaborate with business units to identify key opportunities for leveraging data analytics to shape business strategies and achieve organizational objectives. • Develop robust analytics frameworks and tools to support business transformation, ensuring solutions align with customer needs, market trends, and regulatory standards. • Provide actionable insights to guide decisions related to retail banking business strategy development or enhancement, channels optimization, customer experience optimization, and competitive positioning. • Establish clear KPIs and metrics to measure the impact of strategic analytics initiatives, ensuring continuous improvement and scalability. Data-Driven Decision Making: • Analyze complex datasets to uncover trends, patterns, and opportunities that inform strategic business decisions. • Design and implement predictive models to assess market dynamics, customer behavior, and business performance, supporting proactive decision-making. • Utilize advanced analytics techniques, including segmentation, portfolio analysis, and scenario modeling, to inform strategy and drive measurable business outcomes. • Serve as a trusted advisor to senior management, presenting insights and recommendations that influence strategic direction and long-term planning. Business Strategy Optimization: • Identify and evaluate opportunities to enhance operational effectiveness and efficiency using data-driven strategies. • Partner with cross-functional teams to implement solutions that optimize workflows, improve resource allocation, and reduce operational costs. • Champion the integration of analytics into business processes, fostering a culture of data-driven decision-making across the organization. Stakeholder Engagement and Collaboration: • Collaborate across teams, including analytics, IT, and business units, to ensure alignment of analytics initiatives with operational priorities and business goals. • Effectively communicate strategies, implementation plans, and outcomes to stakeholders, fostering transparency and collaboration. • Act as a thought leader and advocate for analytics adoption, educating stakeholders on the value of data-driven insights in achieving business objectives. Continuous Innovation and Industry Alignment: • Stay informed about emerging analytics tools, methodologies, and industry trends, ensuring the organization remains ahead of the curve. • Benchmark against leading financial institutions in Hong Kong and globally to identify best practices and apply learnings to the organization's analytics initiatives. • Provide strategic recommendations for new analytics solutions and enhancements to existing frameworks, fostering innovation and adaptability. To be successful you will need: • Bachelor’s degree in Business, Quantitative Finance, Data Science, Economics, Statistics, Analytics, or a related field. • Strong expertise in advanced analytics techniques, including segmentation, portfolio analytics, pricing strategies, and predictive modeling. • Proven ability to translate complex data into actionable business strategies that drive measurable outcomes. • Demonstrated eagerness to learn new analytics methodologies and tools, coupled with a proactive, experimental approach to problem-solving. • Foundational knowledge of the banking and financial services sector, with a focus on retail banking, wealth management, and business strategy development. • Exceptional analytical and problem-solving skills, with a detail-oriented approach to tackling complex challenges. • Effective communication and collaboration skills, with the ability to articulate data-driven insights to non-technical stakeholders. • Demonstrated ability to manage multiple projects simultaneously and deliver results in a fast-paced, dynamic environment. • Solid experience in strategic analytics, business strategy development, or related roles within the banking or financial services industry, including responsibilities, such as leading cross-functional teams, designing strategic frameworks, and managing stakeholder relationships. • Previous experience in business analytics, strategy development, or similar roles within the banking or financial services industry. • Familiarity with analytics tools and platforms, such as Python, SQL, Tableau, QlikSense, or Looker Studio. Experience with cloud environments such a