Key information
Programme overview
The Data Strategy for Leaders programme offers business leaders the opportunity to leverage data for strategic decision-making within their organisations. Through this programme, leaders will gain insights into effectively utilising data, facilitating informed strategic decisions, and optimising business performance. Developed and delivered by esteemed Imperial faculty and seasoned data leaders, this programme enhances an individual’s strategic acumen and helps them accelerate their career to become a data strategy leader.
This 14-week online programme draws on expertise from Imperial College Business School faculty, industry experts and case studies. It features hands-on modules for practical learning and opportunities for interactive engagement, and strategic thinking. You will experience live online teaching sessions, video lectures, interactive activities and assignments whilst receiving personal support from a dedicated Learning Team.
You will finish the programme prepared to implement your learnings, and with a verified Digital Certificate from Imperial College Business School Executive Education.
Who should attend?
The Data Strategy for Leaders programme is designed for leaders with 8+ years of work experience, who have an eagerness to leverage data as a competitive advantage. No prior coding or technical knowledge is required. The programme is suitable for leaders including, but not limited to:
- Senior leaders leveraging data for strategic business decisions
- Business heads who want to build data-driven products at scale
- Executives looking to provide comprehensive data solutions to clients
Learning Objectives
By the end of the programme, you will be able to:
- Understand the broad role and responsibilities of a data strategy leader
- Identify the levers and infrastructure required to align data practices with business objectives
- Formulate and execute a robust data strategy that delivers tangible business value
- Secure buy-in from the leadership team to support enterprise-level data initiatives
- Harness AI and ML technologies to drive advanced business intelligence and insights
- Explore advancements in GenAI and how they can be leveraged to enhance data strategy formulation
- Drive data-driven digital innovation while adhering to governance frameworks, ethical standards, and privacy regulations
- Develop and maintain a data-centric ecosystem within the organisation, fostering a culture of data-driven decision-making, innovation, and value creation
Learning Journey
Core Pathway
Module 1: Introduction to Data Strategy
Module 2: Data Orchestration
Module 3: Data Science, AI, and Machine Learning for Managers and Leaders
Module 4: Data-Driven Digital Transformation
Module 5: Data Monetisation
Module 6: Data Governance, Privacy, and Security
Electives
Career Path Towards a CDAO/Data Leader
Masterclass: Generative AI for Data Strategy
Programme Faculty
Professor Wolfram Wiesemann
Professor of Analytics & Operations
Professor Wiesemann is Professor of Analytics & Operations at Imperial College Business School, where he also serves as the Academic Director of the MSc Business Analytics programme. His teaching focuses on linear, discrete, and nonlinear optimisation and the theory, algorithms and applications of machine learning. He also teaches prescriptive analytics.
Wolfram holds a joint master's degree in management and computing from Darmstadt University of Technology, and a PhD in operations research from Imperial College London. He is also a Fellow of the KPMG Centre for Advanced Business Analytics.
Chris Tucci
Professor of Digital Strategy and Innovation
Professor Chris Tucci received the degrees of Ph.D. in Management from the Sloan School of Management, MIT; SM (Technology & Policy) from MIT; and BS (Mathematical Sciences), AB (Music), and MS (Computer Science) from Stanford University. He was an industrial computer scientist involved in developing Internet protocols and applying artificial intelligence tools.
Chris' primary area of interest is in how firms make transitions to new business models, technologies, and organisational forms. He also studies crowdsourcing, Internetworking, and digital innovations.
Mike Seville
Chief Data Officer
Mike Seville is an experienced Chief Data Officer. Mike has a deep interest in the application of data, analytics, machine learning and AI in commercial settings and has held senior data positions at a range of organisations, including Dojo, a UK payments company and Farfetch, a luxury marketplace. He holds a Masters degree in Machine Learning from UCL.
Khalil Dimachkie
Chief Technical Officer
Khalil has been in the software industry for 20 years, with the last 8 of those as CTO of data driven companies. Throughout his career he's had experience with all parts of the software stack and spent 7 years as a solutions architect working with some of the biggest organisations and brands in the UK and globally including TfL, VISA, BP, and Maserati.
Key information
Short executive programmes
Our short executive courses combine our long-established capability in technology with the latest business thinking.