Head of Data and Analytics (Techcom Life)

## 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 và 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, và screening alternative solutions; calculating economics; determining impact on total system - In charge of Identity và Access Management Security - Manage dependencies, coordinate delivery và 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 và 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 và 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 và Analytics and is an industry expert on the latest data-related technology trends