Head, Data Intelligence

• Finalise and implement data capability development roadmap to transform PayNet into a data-driven organisation
• Provide direction and lead Data Intelligence team to support PayNet’s transformation into a data-driven organisation, steer the team to progress actionable insights, develop implementable actions and guide business teams to harness data for data driven decision making
• Identify, prioritise and secure buy-in for data opportunities and deliver high-quality reporting and insights through automation, insight and challenge to business areas
• Provide steer to Information Services Division on underlying data sources design and management to allow quick and efficient data extracts to support analysis
• Participate in development of PayNet strategies, organisations & processes, roadmaps and business cases requiring analytics and BI solutions
• Track and resolve risks, issues and action items throughout the data journey, and facilitate handover to BAU including conducting training sessions for end-users

Qualifications

• Minimum 7-10 years' experience in a senior role (at least team lead) with experience building and leading data and analytics teams, ideally in the context/very close to business functions, preferably in financial technology, e-payments or similar industry
• Both business and data savvy, experienced at identifying, prioritising, and getting buy-in for data opportunities within a platform-based organisation with solid knowledge of common roadblocks and technical challenges 
• Strong understanding of payment systems, cards, digital payments ecosystem and innovation
• Degree in Business, Management, Computer Science or in any related field. A Master’s degree, professional qualification in data analytics or data science would be an advantage
• Possess conceptual and design thinking skills, analytics, data science and proven track record of dealing well with ambiguity, prioritising needs, and delivering results in a fast-paced environment
• A good understanding on diversity and inclusivity
• Good in consulting and solutioning skills

Additional requirements 

• Possess an inquisitive and creative mind 
• Possess research and analytical skills to track and predict trends 
• Strong business knowledge with deep experience in e-payments related work, including policy development, implementation and oversight 
• Well versed and up to date with future e-payments trends and technology 
• Comfortable with taking calculated risks, navigate paradoxes and manage expectations of both internal and external stakeholders 
• Outstanding negotiation, communication and presentation skills (written, oral, listening, influencing, coaching, strategic communication planning) 
• Industry and government relationships both in Malaysia and abroad are added advantages
• Strong data and computer literacy
• Ability to work with minimum supervision and tight timelines 
• Flexibility in working hours, conditions and arrangements

Technical Requirements

• Data science/analytics, including experience with cloud-based data infrastructures (AWS, Azure, etc), SQL, Power BI, dashboarding (e.g. Tableau), Python/R 
• Data Augmentation/Capability Development Project Management 
• Change Management