Job Purpose
Head of Data and Analytics (Life Insurance Project) is responsible for:
- The job holde develop set processes for data mining, data modeling, and data production.
- 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.
Key Accountabilities (1)
- 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&039;s requirements
- 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
- 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;
Data Architecture
- Deliver fault tolerance and redundancy
- Facilitate connectivity, create networks, firewall rules
- Design data architecture and data platform
- Develop operational solutions:
- Initiate continuous process improvements over operational effectiveness
- Anticipates operational problems by studying modes of operation
- In charge of Identity và Access Management Security
- Prepare and execute test scenarios, log defects, evaluate quality risk, report potential impact
- Develops operational solutions by defining, studying, estimating, và screening alternative solutions; calculating economics; determining impact on total system
- Investigate and understand root causes for issues in business operations
- Manage dependencies, coordinate delivery và schedule sw/code deployment
Key Accountabilities (2)
Data Engineering
- Productionizes Machines Learning models to meet high- demand and strict SLAs
- Turn Business Requirement Documents (BRD) from Financial Analyst (FA) / Business Analyst (BA) to FRD (Functional Requirement Documents)
- Develop and maintain the in- house customer framework for the Deep Learning (DL)
- Review quality specs và tech design docs to provide timely and meaningful feedback
- Define and maintain the enterprise- wide Deep learning architecture and infrastructure roadmap
- Develop data pipelines and microservices
- 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
- Perform technical metadata (source @ target mapping, schemas, instr.)
- Sets up, develop and maintain an Machines Learning (ML) enabled eco- system including job orchestration, feature store, fitting models, hyper parameter tuning methods
- Estimate, prioritize, plan and coordinate quality testing activities
- Create detailed, comprehensive and well- structured test plans and test cases
Data Solution
- Perform budget estimation và planning; Plan, oversee and lead projects;
- Coordinate with upper management/BU and prioritize product backlog
- Analyze user requirements and manage demand for current or proposed projects based on numerous key characteristics
- Finalize and perform a BRD (Business Req. Doc.) for user sign- off
Project Management
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analyses to improve practices for maximum productivity.
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
Key Accountabilities (3)
PEOPLE MANAGEMENT
- Establish and communicate function and individual KRAs/ KPIs, goals, action plan, expectations and results to reporting line
- Motivate and recognize team members’ contributions towards the team’s shared goals
- Define team’s capability requirements and enable team member’s professional and personal development through capability assessment, training, coaching & feedback, mentoring, etc.
- Oversee human resources planning and execution (headcount & costs) of their function
- Act as a role model and promote corporate culture at function level
- Attract, onboard and retain the right talents for a high- performing team
- Manage function performance & provide feedback regularly (following the annual performance management cycle);
- Identify and monitor personal, professional development and career advancement of talents in the function
- Understand & communicate relevant HR offerings to team members.
