Head of Advanced Analytics and Innovation (40000034)

Job Purpose

• Lead the bank’s data and AI transformation by developing and executing a forward-looking analytics strategy aligned with Techcombank’s strategic goals
• Unlock the power of data and AI by identifying innovative ways to monetize and apply data and generative AI across the organization
• Inspire and manage a high-performing team of data scientists and analysts to deliver transformative insights and solutions
• Foster a culture of innovation and agility, embedding data-driven and AI-enabled thinking into decision-making at all levels
• Deliver measurable impact through new business capabilities that enhance customer experience, employee engagement, and shareholder value

Key Accountabilities (1)

Advanced Analytics, AI & Innovation

• Build strong internal and external partnerships to drive innovation and deliver tangible outcomes.
• Champion the value of data products, AI, and generative AI across the organization and with external stakeholders.
• Lead the development and integration of AI and Gen AI strategies, including use cases in customer experience, operational efficiency, and risk management.
• Identify and execute strategic partnerships to support business development and AI-driven growth.
• Collaborate with technology and business leaders to uncover and implement new data and AI opportunities.
• Promote a forward-thinking culture that encourages experimentation, enrichment strategies, and scalable growth.
• Monitor market trends and emerging technologies to ensure Techcombank remains at the forefront of data and AI innovation.
• Translate business strategies into actionable data and AI requirements and solutions.
• Standardize feature engineering and model development practices across the organization.
• Deliver measurable business value through data and AI initiatives, with clear financial impact.
• Tackle complex, ambiguous problems (“unknown unknowns”) using advanced analytics and AI.
• Extract actionable insights from unstructured and disconnected data sources using cutting-edge AI techniques. 
  
  

Key Accountabilities (2)

Project Management

• Navigate project complexities and evolving business needs to maintain high operational performance.
• Collaborate with team leads to resolve challenges, conduct post-mortems, and implement continuous improvements.
• Ensure timely delivery of analytics and AI projects with high quality and business relevance. 
  
  

Key Accountabilities (3)

People Leadership

• Oversee workforce planning and budgeting for the analytics and AI function.
• Attract, onboard, and retain top talent in data science, AI, and innovation.
• Set clear goals, KPIs, and expectations for individuals and the team, aligned with strategic objectives.
• Drive performance management through regular feedback, coaching, and development planning.
• Identify capability gaps and provide tailored development through training, mentoring, and career planning.
• Recognize and reward contributions, fostering a high-engagement, high-performance culture.
• Act as a role model, promoting Techcombank’s values and culture across the function.
• Communicate relevant HR programs and initiatives to support team development and well-being.
  
  

Success Profile - Qualification and Experiences

Education

• Master’s or PhD in Computer Science, Statistics, Mathematics, Quantitative Analysis, Artificial Intelligence, or other related fields.
• Strong academic foundation in machine learning, generative AI, and statistical modeling.

Experience

• 14+ years of experience in data analytics, machine learning, and model development at scale.
• 10+ years of leadership experience managing high-performing analytics and AI teams.
• Proven expertise in programming languages and tools such as Python, R, SQL, Scala, Java, Tableau, and AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Strong technical background in numerical sciences and AI product development.
• Demonstrated success in leading enterprise-wide digital and AI transformation initiatives.
• Deep understanding of generative AI technologies and their application in financial services.
• Recognized industry expert in data, AI, and analytics, with knowledge of emerging trends and technologies.