About this advisory board
Data must be managed and processed within the organisation’s governance framework. Requirements vary from sector to sector and across geographies making the management of data governance a significant challenge to senior executives.
Topics of interest include:
EMEA Data Governance Manager
Starbucks
Head of EMEA Data Governance
SMBC
Chief Data Officer
Zurich Insurance UK
EMEA Data Governance Manager
Starbucks
Prior to his latest role at Starbucks, Russell worked at banking giant Barclays. Across multiple positions at Barclays, Russell developed and implemented an award-winning data ethics tool in conjunction with the Open Data Institute to guide stakeholders and analysts in the ethical use of data and to enable consistent and customer-centric decision making, winning the DataIQ Award for best data and AI ethics initiative in 2021.
“Nothing stays still for long in the world of data and I enjoy the constant new challenges and the opportunities.”
Head of EMEA Data Governance
SMBC
Shahina Khan is the Head of Data Governance for SMBC across EMEA. Shahina joined SMBC in November 2021 and is responsible for the setting and enforcement of Data Governance policy and supporting the business functions in adopting and implementing the Data Governance Framework. Before this, she was at Deutsche Bank for 8 years, 4 of those as the Head of Banking Book Data Management and Control. A qualified accountant with over 20 years in the banking industry, she has much experience across Data Management, Change, Finance and Risk and is specifically focused on driving a best-in-class control environment, creating transparency, and delivering value through protecting the organisation.
Chief Data Officer
Zurich Insurance UK
Alex has worked at Zurich Insurance for nearly two decades, progressing her way from Management and Information Analyst to Chief Data Officer, with a background in web development. From 2014 to 2015 Alex was a part of the Rising Talent Programme, Zurich’s internal future leaders programme.
“Data literacy is not a one size fits all problem with a single solution – data academies, apprenticeship programmes, data and analytics graduate schemes and initiatives are needed.”
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