Head of Data & Analytics

Position

Location

Qualification

Experience

Responsibilities

Data & Analytics Strategy and Roadmap

• Develop data & analytics strategy and recommend new advanced solutions based on a deep knowledge of business needs, industry trends, best practices and emerging products and services to bring value to the business.
• Define, own and deploy roadmaps for data and analytics services, drive adoption of services defined in the roadmap; leverage and support existing architectural standard platforms; ensure roadmap fits into the global integrated enterprise roadmaps, drive governance of technologies and standardization of products and models.
• Establish strong credibility with business leaders and stakeholders through functional domain knowledge, deep understanding of data sets, and expert knowledge of products and solutions.
• Orchestrate and prioritise high value analytics needs/solutions/use-cases.
• Promote and drive adoption of existing/new solutions in the market.
• Communicate and evangelize how data can be applied to enable the company strategy.

Solution Delivery & Adoption

• Develop and deliver BI and Advanced Analytics solutions for high impact business opportunities.
• Engage and orchestrate data scientists and analytics professionals across the organization to leverage the power of data and analytics for growth.
• Ability to delve deep into the business requirements and build solutions to solve problems/pain points.
• Lead a team responsible for functional design and delivery of key analytics solutions and products.
• Qualify and quantify value delivered through solutions.
• Leverage analytics and data science best practices to deliver leading solutions  Establish and maintain insights/analytics library of best practices and use cases for reuse and scale it globally/regionally.
• Through extensive experience with market data, partner data, and other third-party data sources, determine how different data sets can be combined with company owned data to answer challenging business questions.
• Effectively balance cost, time, value, resources, and complexity in designing and delivering analytics capabilities.
• Drive process to cleanse and verify the integrity of data used for analysis – perform ad-hoc analysis and present results in a clear manner.

Internal / External Collaboration

• Work closely with APAC Head of Data & Analytics and cocreate in building data and analytics strategy, solutions, operational model and efficiencies.
• Own the data & analytics portfolio for UBL working with other Digital Teams in the organisation.
• Work with global counterparts and deliver on key product roadmaps and feature sets using agile methods via matrixed teams.
• Engage with global, regional and other markets’ stakeholders and demonstrate thought leadership to leverage the power of data and analytics technologies for growth.
• Manage or participate in cross-functional teams to promote technology strategies, analyze and test products, perform proofs-of-concept, and pilot new technologies and/or methods.