Chief Data Strategist

2 weeks ago


Gurgaon, Haryana, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Chief Data Strategist

This is an exciting opportunity to lead our Wealth Businesses in a strategic direction, leveraging data-led insights to drive customer-centric outcomes. As a Chief Data Strategist, you will set the direction for Data & Analytics (D&A) across our Wealth franchises, maximising opportunities and value for our customers.

You will be responsible for managing budget and performance, as well as leading the team's workflow and delivery, working across the broader D&A area.

Key Responsibilities:
  • Setting the strategic direction for Data & Analytics (D&A) across our Wealth franchises
  • Leveraging new capabilities delivered under our bank-wide data strategy to drive customer-centric outcomes
  • Managing budget and performance, as well as leading the team's workflow and delivery
Required Skills and Qualifications:

To succeed in this role, you will need:

  • Extensive domain knowledge of financial services and a deep understanding of leading teams who use D&A to influence business and customer decision-making
  • Strong knowledge and awareness of regulatory requirements and business processes within financial services and private banking and wealth management
  • A good understanding of wealth businesses and our strategic priorities, as well as an awareness of the wider commercial landscape
Benefits:

As a Chief Data Strategist, you will have the opportunity to work in partnership to deliver for our people and our customers, leading the data delivery and strategy for our Wealth Businesses.

You will also have the chance to:

  • Drive the implementation and maintenance of appropriate data management protocols and business rules to ensure secure and compliant management of data across our Wealth businesses
  • Fully embed the D&A team into partner businesses, operating models, and matrix-aligned structures
Others:

In addition, you will need:

  • Advanced knowledge of analytics techniques and AI methodologies, with experience in leading teams who use advanced analytics to solve complex business problems
  • An awareness of cloud data engineering, with experience of platforms such as AWS and Azure, and their use in managing scalable cloud data solutions


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