Head, Data Insight & AI
Posted on 22 Jul 2021 17 days left for application

Job Purpose

This position is to required to: 

Lead and manage the planning, delivery and implementation of the Data, Insights and Artificial Intelligence (AI) for the organization. He / She needs to ensure high-quality data is available across the organization to enable all business units to become data-driven in their decision-making. 

Establish a centralized data & analytics team that both enables self-service analytics across the organization, as well as providing a strategic, specialist team for high-value, mission-critical analytics use cases that embedded teams cannot support on their own.  

Lead the team in designing, building and rolling out modern, scalable, secure and performant applications which integrate AI and Machine Learning technologies with industry software development principles, practices and patterns. 

Duties & Responsibilities

- Plan and manage assigned project deliverables, coordinate team activities and handle impediments to ensure solutions are timely and effective for respective business objectives. 

- Implement data science industry best practices, relevant cutting-edge technology, and innovation in projects to ensure the right solutions fulfill the business requirements  

- Define vision and road map for the department (and organisation), and plan for data infrastructure and AI capabilities  

- Continuously drive improvements to business’ data analysis models and create industry-leading performance through the leveraging new data-sources and employing the latest in machine learning in the department. 

- Implement established analytics strategy by adopting base and key technologies, and technical requirements when executing projects to ensure business value generation. 

- Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner. 

- Support the business’ initiatives and programs through driving excellence in employing machine learning techniques with a view toward achieving overall objectives and targets. 

- Implement relevant technical guidelines for project risk evaluation, problem diagnostics, technical audits, etc. to ensure the right solutions fulfil the business requirements. 

- Work closely with relevant departments, partners and stakeholders in defining the data needs for the purpose of future work and to ensure high data quality and reliability across the business. 

- Collaborate with departments across the business and support them in the proper use of data. 

- Plan and execute effective implementation of work procedures/ guidelines/ manual in collaboration with the Governance team to ensure compliance and consistency of business practice for operational excellence and value optimization. 


- Degree in IT / CS, AI, Statistics, Data Science, Data Mining, or another quantitative field  

- 10 years of experience in Analytics, Data Science, Business Intelligence or other quantitative disciplines, especially during company growth stages  

- Solid understanding of AI and machine learning  

- Experience of high-level programming language for analysis (e.g. Spark, Scala, Python, R, Java) a plus

- Deep knowledge of data management and visualization techniques  

- Proven extensive experience as a Data Scientist / AI Engineers or similar role 

- A knack for statistical analysis and predictive modelling  

- Strong organizational and leadership skills  

- Excellent communication skills  

- Experience and demonstrated capability to lead projects involving complex structured and unstructured data, unsupervised to supervised machine learning algorithms, and complex automation, data science-based techniques;  

Competency Required

1. Strategic Agility (SA) - Applies external trends and considers potential risk.

  • Shows good understanding of the business imperatives and the implications in the medium term with respect to external forces.
  • Keeps up to date on current industrial trends and recognizes how it may impact one’s work area.
  • Draws inspiration from external trends / best practices to resolve issues.

2. Analytical Insights (AI) - Considers potential risks.

  • Conducts in-depth analysis to identify various inter-linkages that are not noticeably related to judge the best course of action.
  • Evaluates risks, implications and challenges of past initiatives and leverages on the insights for the current situation.
  • Evaluate best course of action by formulating mitigating plans.

3. Impact and Influence (II) - Influences using indirect strategies.

  • Understands and builds professional relationships with key stakeholders to better target communication.
  • Uses established credibility, past experiences, and expertise to convince stakeholders to create buy in
  • Probes and takes initiative to understand stakeholders’ current needs / issues and recommends win-win solutions.

4. Driving Excellence (DE) - Proactively manages contingencies.

  • Anticipates obstacles and proactively plans for multiple contingencies to speed execution.
  • Possesses the tenacity and persistence to see through improvement initiatives.
  • Takes on new roles and responsibilities when faced with unexpected changes.

5. Driving Innovation & Creativity (DIC) - Seeks for improvement opportunities.

  • Proactively looks to recommend improvements to current ways of working.
  • Draws inspiration from best practices to resolve issues.
  • Helps others to view situations from alternative perspectives to encourage creativity and innovation.

6. Self-Initiatives (SI) - Considers short term implications.

  • Willing to take slight risks based on own judgment of the situation.
  • When making plans or decisions, considers the impact those decisions will have on existing processes.
  • Adapts current plans to ensure they do not cause issues for other facets of the organization.

7. Service Orientation (SO) - Addresses underlying client needs.

  • Takes a proactive approach in resolving requests, issues / problems by taking responsibility in identifying and resolving problems before requests, issues/ problems are communicated by clients.
  • Ability to perceive client needs based on different situations and seeks information about the real underlying needs of internal and external clients beyond those expressed initially.
  • Closely follows up on requests, issues/ problems communicated.

8. Teamwork & Collaboration (TC) - Solicits and enhances inputs.

  • Genuinely values the ideas and perspectives of others and communicates directly while using language and approach that will not offend.
  • Listens to and builds on the views of others, seeking advice and input from multiple parts of the organization to ensure that there is mutual respect.
  • Able to effectively coordinate effort from multiple parts of the organization which leads to high productivity.

9. Developing Others (OT) - Provides clarity and gives context.

  • Asks questions to check that the individual understands how things work and why.
  • Supplements resources, tools, advice, demonstrations, or instructions to build greater contextual understanding of the person being developed.
  • Delegates projects or assignments to develop an individual.

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