Head of Data & Analytics

Position

• Head of Data & Analytics

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.