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Academy for
future leaders

DataIQ is closing the gap between demand and supply for confident, decisive and effective senior data leaders.

 

With the Academy for future leaders programme — the first career development course focused specifically on mid-tier data and analytics practitioners – a new generation will emerge equipped to succeed in the top roles within data functions.

 

Find out more

DataIQ Academy For Future leaders student talking

Academy for future leaders


DataIQ is closing the gap between demand and supply for confident, decisive and effective senior data leaders.

With the Academy for future leaders programme — the first career development course focused  specifically on mid-tier data and analytics practitioners – a new generation will emerge equipped to succeed in the top roles within data functions.

 

Find out more

A DataIQ Academy for Future leaders student in discussion
A young female business woman talking and smiling at a boardroom table

 

 

For individuals already working at one or two levels below the C-suite, the journey into leadership can seem daunting. By graduating from the Academy for future leaders programme, they can gain the professional and personal skills required.

 

A unique course built on our deep domain knowledge of what makes for a successful chief data officer, chief analytics officer or chief data and analytics officer.

For the

organisation

 

Matching ambition with skills.

 

Developing an internal candidate to the level required delivers against succession plans, shortens time to productivity and enhances retention and employee engagement by demonstrating a commitment to investing in the individual.

For the

individual

 

Passionate about data.

Driven by excellence.

Uncertain about leadership?

 

Working in a data function with at least a decade of experience and considering how to move up into the most senior role of a CDO, CAO or CDAO – chances are you need to equip yourself with a fresh set of skills to tackle that next step.

For the

profession

 

Structured for the busy, but ambitious.

 

With the Academy for future leaders programme, DataIQ is building a new standard for senior data leaders, providing professional recognition and a standard suite of skills.

For the organisation

 

Matching ambition with skills.

 

Developing an internal candidate to the level required delivers against succession plans, shortens time to productivity and enhances retention and employee engagement by demonstrating a commitment to investing in the individual.

For the individual
 

Passionate about data. Driven by excellence. Uncertain about leadership?

 

Working in a data function with at least a decade of experience and considering how to move up into the most senior role of a CDO, CAO or CDAO – chances are you need to equip yourself with a fresh set of skills to tackle that next step.

For the profession
 

Structured for the busy, but ambitious.

 

With the Academy for future leaders programme, DataIQ is building a new standard for senior data leaders, providing professional recognition and a standard suite of skills.

Meet the faculty

Course leader:

Course leader:

Russell Barton

Russell Barton

David Hayes

David Hayes

Scott Joslin

Scott Joslin

Kinnari Ladha

Kinnari Ladha

Steve Pimblett

Steve Pimblett

Marion Shaw

Marion Shaw

Course overview

Term 1 
Build your professional knowledge

 

Module 1
Understanding the role of leadership and the need for a vision


Module 2
Mapping your data strategy to the business strategy


Module 3
Building data literacy across the organisation


Module 4
Establishing the right technology strategy for data


Module 5
Enabling compliance and regulation at the data level

 

Module 6

Setting the right data quality foundations

Term 2 
Develop your personal skillset

 

Module 7
Finding your leadership style


Module 8
How to lead a data function


Module 9
Building your business literacy


Module 10
Starting to think strategically


Module 11
Becoming a trusted advisor

 

Module 12

Setting your personal career agenda

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