Senior Manager, Business Intelligence (40000047)

Job Purpose

- The job holder manages several products, by leading the science team and coordinating interactions to BU; she/he provides technical and personal guidance for  the team in order to be able to align with the business roadmap and deliver technical solutions as required.

- The job holder takes initiative in experimenting with various technologies, algorithms and tools for solutions to BU at quickest pace possible and scientific standards, while keeping update with technical and industry pace.

Key Accountabilities (1)

Data Solution:

- Evaluate the effectiveness of proposed models and track business performance against the data analysis model.

- Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver advanced analytics solutions across the firm, including recommendation engines, customized data models, predictive machine learning models, graph models, etc.

- Drive the 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.

Project 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 resources, resolve people problems and project roadblocks, keep the 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
- Attract, onboard and retain the right talents for a high- performing team
- Communicate team and individual KRAs/ KPIs, goals, action plan, expectations and results to team members
- Manage team performance & provide feedback regularly (following the annual performance management cycle);
- Enable team member’s professional and personal development through capability assessment, training, coaching & feedback, etc.
- Motivate and recognize team members’ contributions towards the team’s shared goals
- Responsible for developing talents within the team
- Act as a role model and promote corporate culture at sub- function level
- Understand & communicate relevant HR offerings to team members.

Key Relationships - Direct Manager

Head of Business Intelligence

Key Relationships - Direct Reports

- Expert, Business Intelligence
- Senior Officer, Business Intelligence
- Officer, Business Intelligence

Key Relationships - Internal Stakeholders

Members of Business and Data & Analytics Division, Enabling Data & Analytics Division (IT or Data - Engineer/Governance), BAU division heads (Business, Finance, Risk, Corporate Affair, IT)

Key Relationships - External Stakeholders

Partners and vendors 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

- 8+ years of relevant experience in areas of data analysis, machine learning, deep learning model development on a large amount of data, implementing and deploying various statistical models, 4+ years of people management experience.

- 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 the application of machine learning and AI to questions related to the 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

- English proficiency requirements are pursuant to Techcombank's policy