Head of Data Strategy
Detail posisi
Responsible for establishing and aligning customer data strategy to retail bank marketing plans. Establish customer data strategy and work with products to align product positioning. Work closely with other BUs to establish and to validate BU’s product and service offerings value propositions to align with brand values.
Kewajiban
Strategy
• Define vision, strategy, and roadmap for C&D.
• Identify business priorities that C&D can support, ensuring alignment with broader corporate strategies.
• Develop a roadmap for data/channel/mobile application initiatives, outlining short- and long-term goals, timelines, and resource requirements.
• Define KPIs and metrics to measure the effectiveness of digital initiatives and track progress towards business goals.
• Stay updated on industry trends, emerging technologies, and best practices in digital strategy.
Data Product
Project Management
• Project Planning and Scope Definition: Define project objectives, deliverables, and scope based on stakeholder needs.
• Stakeholder Management and Communication: Act as the main point of contact for stakeholders, including executives, data scientists, analysts, and engineers.
• Project Delivery and Post-Project Analysis
Promote Data Driven Organization
• Collaborate with business units to identify and prioritize data use cases that align with strategic goals.
• Assess potential for new data products, services, or monetization strategies that create business value.
• Conduct competitive analyses to benchmark data capabilities against industry standards and identify growth opportunities.
• Promote a data-driven culture, encouraging the adoption of data in decision-making at all levels.
• Develop and implement data literacy programs to help employees understand and use data effectively.
• Act as a data advocate, demonstrating the strategic importance of data and building cross-functional support for data initiatives.
Kualifikasi
• Bachelor’s Degree: Typically in a relevant field, such as Data Science, Computer Science, Information Systems, Business Analytics, or Economics.
• Advanced Degree (optional but beneficial): A Master’s or MBA with a focus on data science, business analytics, or information management is often preferred for senior roles, as it demonstrates deeper expertise in both data and business strategy.
• 5-10 years of experience in data-related roles (e.g., data analyst, data engineer, business analyst) and at least a few years in a strategic or leadership capacity.
• Leadership and Collaboration: Strong leadership skills, including experience working cross-functionally with business, technical, and executive teams.
• Communication: Excellent communication skills to articulate data strategies, explain technical details to non-technical stakeholders, and foster data literacy.
• Problem-Solving and Critical Thinking: Ability to identify data-driven opportunities, solve complex problems, and adapt strategies to changing conditions.
• Able to handle a workload under pressure with competing priorities.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง:
• Python, SQL, R, SQL, NoSQL and Scala.
• Certifications.