Develop and improve the organisation’s understanding of data, including at Executive team level. Act as a trusted consultant to help business leaders understand their roles as data owners, and mitigate risks related to data
Own, maintain and embed the Data Management Strategy and model for the business, aligned with the wider business strategy
Embed data ownership and stewardship at Dunelm, working with data owners and key stakeholders to ensure data is used appropriately, safely and compliantly
Build our capability in Data Quality, including establishing the right frameworks, tooling and processes to assess and improve data quality, and educating the business on its importance
In partnership with Technology, oversee the development and deployment of tools and processes to help the business capture, document, manage and surface meta data more effectively
Inform strategy and define best practices, governance, ownership and accountability for master data management solutions
Lead appropriate forums to establish, monitor, and develop a data governance framework, including roles, responsibilities and priorities. Report to the Executive team regarding data risk management and regulatory compliance where required
Develop and manage a programme to routinely analyse data to meet regulatory reporting requirements, as well as ensuring historic and new data changes are made correctly and are fit for purpose
Promote the use of data as a strategic asset
Partner with Business, Tech and Product teams to ensure that our solutions are designed and managed in accordance with the organization’s data principles and guidelines
Develop, coach and lead a team of 5 Data Management professionals
As a leader within the broader Insight & Analytics team (c.45 colleagues) you’ll take a proactive role in developing the team, culture and ways of working, making connections and encouraging collaboration across the broader team, as well as with the wider Customer organisation.
Experience building data management capabilities and leading business transformation
Previous ownership of data management processes, including governance, products, quality, etc.
Experience building and leading teams
Strategic and independent thinker, able to develop long-term vision, translate to roadmaps and deliver and communicate recommendations
Proven ability to manage competing priorities in a complex business environment and prioritise effectively to maximise business value
Deep understanding of relevant legislative frameworks (e.g. GDPR, PECR, DPA)
Comprehensive understanding of the data technology ecosystem (incl. data platforms, quality tools, databases, etc.)
Abreast of key technical developments and their implications, including public cloud, AI/ ML, etc
Strong governance skills, including data governance process ownership.