Manager Analytics and AI Commercialization

原始資料於 2026-11-01 查閱；內容可能已更新，請查看原始職位。

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 as AWS or Google Cloud Platform (GCP) is a plus.
Knowledge of regulatory requirements and industry best practices for data analytics applications in financial services.
Experience leveraging analytics for business transformation initiatives implemented by leading financial institutions in Hong Kong/China.
Opening up a world of opportunity
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