Director, Data Science (40000028)

Job Purpose

- The job holder manages several products, by leading science team and coordinating interaction to BU; she/he provides technical and personal guidance for teamin order to be able to align with business roadmap and deliver technical solution as required.
- The job holder takes initiative in experimenting with various technologies, algorithms and tools for solution to BU at quickest pace possible and scientific standards, while keeping update with technical and industry pace.

Key Accountabilities (1)

Data Solution:
- Evaluate effectiveness of proposed models and track business performance against data analysis model.
- Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including recommendation engines, customized data models, predictive machine learning models, graph modes, etc.
- Drive application of machine learning and big data techniques across different journeys and squads.
- Manage, execute, and review complex data science projects in an agile manner and in compliance with internal regulatory requirements.

Key Accountabilities (2)

Data Insight:
- Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources.
- Review processes and tools designed to monitor and analyze model performance and data accuracy.
- Proactively lead discussions in 3+ squads to identify questions and issues for data analysis
- Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficiency.

Projects Management:
- Manage multiple data products and resolve conflicts, challenges and dynamic business requirements to keep operations running at high performance.
- Lead involved data science teams to propose solutions to BU, align KPIs, plan ressources, resolve people problems and project roadblocks, keep project on track, conduct post mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity.
- Identify and encourage areas for growth and improvement within the team.

Key Accountabilities (3)

PEOPLE MANAGEMENT
- Oversee human resources planning and execution (headcount & costs) of their function/ sub- function
- Attract, onboard and retain the right talents for a high- performing team
- Establish and communicate sub- function/ function and individual KRAs/ KPIs, goals, action plan, expectations and results to reporting line
- Manage sub- function/ 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
- Responsible for developing talents within the function/ sub- function
- Act as a role model and promote corporate culture at function/ sub- function level
- Understand & communicate relevant HR offerings to team members.

Key Relationships - Direct Manager

Data Office

Key Relationships - Direct Reports

- Senior Data Scientist
- Data Scientist

Key Relationships - Internal Stakeholders

Teams within the Transformation Office and relevant departments in the Bank

Key Relationships - External Stakeholders

Partners providing professional services

Success Profile - Qualification and Experiences

Qualifications
- Master’s or PhD degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information - Technology or any other Numerical disciplines
Work Experience
- 12+ years of relevant experience in areas of data analysis, machine learning, deep learning model development on large amount of data, implementing and deploying various statistical models, 4+ years of people management experience.
- English proficiency requirements are pursuant to Techcombank's policy
- Deep experience in querying databases and using programming languages (e.g. Python, spark, TensorFlow, scala, sql, C, C++, Java)
- Extensive experience in building data and analytics solutions, data mining, statistical model building, predictive modeling
- Experience in application of machine learning and AI to questions related to tech and finance industry
- Experience in providing fact-based insights to help senior management and other stakeholders realize enterprise value at scale
- Deep experience in Agile Software Development and has mastery of Agile principles, practices and Scrum methodologies
- Experience working in Agile teams to lead successful digital transformation projects, involved in the end-to-end planning to implementation