Job Purpose
Head of Data and Analytics (Techcom Life) is responsible for:
- The job holder ensures that all systems meet The business/company requirements as well as industry practices.
- The job holde integrate up-and-coming data management and software engineering technologies into existing data structures.
- The job holde develop set processes for data mining, data modeling, and data production.
Key Accountabilities (1)
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, and ensuring the data platform can ingest data at scale. Assemble large, complex data sets that meet functional / non-functional business requirements.
- This involves collaboratively working with different technology, risk v compliance and segment teams across TCLife to ensure priorities are well understood and proper expectations are established with business stakeholders;
- Collaborate with System and Data Architects, translate complex functional and technical requirements into detailed architecture, design and high performing capabilities with the Enterprise Data Lake
- Design and execute the build-out of data patterns and services - both batch, real-time and complex event handing - leveraging open technologies and in support of the business's requirements
Data Architecture
- Design data architecture and data platform
- Facilitate connectivity, create networks, firewall rules
- Deliver fault tolerance and redundancy
- Develop operational solutions:
- Investigate and understand root causes for issues in business operations
- Initiate continuous process improvements over operational effectiveness
- Anticipates operational problems by studying modes of operation
- Develops operational solutions by defining, studying, estimating, v screening alternative solutions; calculating economics; determining impact on total system
- In charge of Identity v Access Management Security
- Manage dependencies, coordinate delivery v schedule sw/code deployment
- Prepare and execute test scenarios, log defects, evaluate quality risk, report potential impact
Key Accountabilities (2)
Data Engineering
- Turn Business Requirement Documents (BRD) from Financial Analyst (FA) / Business Analyst (BA) to FRD (Functional Requirement Documents)
- Perform technical metadata (source @ target mapping, schemas, instr.)
- Develop data pipelines and microservices
- Develop and maintain the in-house customer framework for the Deep Learning (DL)
- Define and maintain the enterprise-wide Deep learning architecture and infrastructure roadmap
- Lead the solution and ensure that new projects are in-line with the business IT blueprint and their design fits with the DL arch roadmap
- Sets up, develop and maintain an Machines Learning (ML) enabled eco-system including job orchestration, feature store, fitting models, hyper parameter tuning methods
- Productionizes Machines Learning models to meet high-demand and strict SLAs
- Review quality specs v tech design docs to provide timely and meaningful feedback
- Create detailed, comprehensive and well-structured test plans and test cases
- Estimate, prioritize, plan and coordinate quality testing activities
Data Solution
- Analyze user requirements and manage demand for current or proposed projects based on numerous key characteristics
- Coordinate with upper management/BU and prioritize product backlog
- Perform budget estimation v planning; Plan, oversee and lead projects;
- Finalize and perform a BRD (Business Req. Doc.) for user sign-off
Project Management
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analyses to improve practices for maximum productivity.
Key Accountabilities (3)
PEOPLE MANAGEMENT
- Oversee human resources planning and execution (headcount & costs) of their function
- Attract, onboard and retain the right talents for a high- performing team
- Establish and communicate function and individual KRAs/ KPIs, goals, action plan, expectations and results to reporting line
- Manage function performance & provide feedback regularly (following the annual performance management cycle);
- Define team's capability requirements and enable team member's professional and personal development through capability assessment, training, coaching & feedback, mentoring, etc.
- Motivate and recognize team members contributions towards the team's shared goals
- Identify and monitor personal, professional development and career advancement of talents in the function
- Act as a role model and promote corporate culture at function level
- Understand & communicate relevant HR offerings to team members.
Success Profile - Qualification and Experiences
Qualifications
- Bachelor's or Master's degree in statistics, mathematics, quantitative analysis, computer science, software engineering or information technology.
Work Experience
- Over 10 years of relevant experience, with strong expertise in the Life Insurance domain.
- Deep experience in designing and building dimensional ETL processes, data models, data warehouse concepts and methodologies, optimizing data pipelines and architecture
- Deep experience monitoring complex data issues, evaluating algorithmic approaches and examining data to resolve issues
- Deep understanding of Information Security principles to ensure compliant handling and management of data
- Advanced analytical and project management skills (DevOps, Extreme Programming, Agile, and Waterfall) for a variety of tasks or projects. Ability to deal with complex problems involving multiple facets, variables and situations where only limited standardization exists
- Extensive expertise in data technologies and the use of data to support software development, advanced analytics and reporting. Exposure to cloud technologies is a plus.
Other Requirements
- Proven track-record in leading company-wide digital transformation initiatives and change management
- Mastery in Data v Analytics and is an industry expert on the latest data-related technology trends
