You will define, lead and govern the company's data architecture, including the shared data environment, data model and standards, so that data stays accurate, secure and easy for stakeholders to reach.
The role carries Vice President level expectations and works across technology and business teams.
Responsibilities
Turn company-wide goals into a data architecture strategy, with a future-state design and a transition plan.
Act as subject matter expert for operations, engineers and analysts, sharing knowledge so data is used consistently, safely and for value.
Write and maintain governance, standards and protection policies for data models, authoritative stores and data capabilities that protect quality, accuracy and sensitive information.
Keep projects aligned to the target architecture by giving guidance, providing data solutions and tracking progress.
Define shared, reusable data capabilities, assets, tools and technologies that connect disparate sources, make storage efficient and give seamless access.
Own the overarching data model that sets how data is structured, logically and physically, across databases, interfaces and reports.
Track regulatory standards and industry change for their effect on operations, controls and the application portfolio.
Select the best data technologies and check ongoing compliance with service level agreements and quality standards.
Set or shape strategy, drive requirements, recommend change, plan resources and budgets, maintain policies, improve processes and escalate policy breaches.
Where you manage a team, define roles, plan future needs, coach performance and contribute to pay decisions.
Where you are an individual contributor, act as the technical authority, guide multi-year assignments, bring in other specialists when needed, and train and coach less experienced colleagues.
Advise senior management and functional leaders on impacts and alignment across functions.
Assess and reduce risk to support the control and governance agenda, and take ownership of risk and controls in your team's work.
Build understanding of how the wider organisation operates by working with business-aligned areas on activity and strategy.
Use detailed analysis and research to compare complex options and devise new solutions.
Build trusted relationships with internal and external stakeholders and use influence and negotiation to reach business goals.
Requirements
Essential: data modelling and data architecture design, with the ability to work with platform teams to shape solutions at solution and integration level.
Essential: data governance and data stewardship.
Essential: data integration and platform architecture.
Essential: standardised architecture governance.
Highly valued: analytics, AI and machine learning architecture.
Highly valued: cloud data platforms.
Highly valued: master data management and reference data.
You may be assessed on risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical skills.
Show the company's five values and its mindset of empowering, challenging and driving.
People leaders must listen and stay authentic, energise and inspire, align across the enterprise, and develop others.
Conditions
Based at the company's Knutsford or Glasgow office.