Data & AI Governance Consultant

First Central
Haywards Heath
2 weeks ago
Applications closed

Related Jobs

View all jobs

Microsoft Governance Consultant

Data & AI Architect

Regulatory Compliance - Senior Vice President

Data Governance Lead,DAMA,DCAM,CDMC,Government,GDS

Programme Manager - Speke

Lead AI Architect | Remote

We’re First Central Insurance & Technology Group (First Central for short), an innovative, market-leading insurance company. We protect the things customers love so they can get on with what matters to them in life.

Data drives us. It fuels our outstanding distribution, finance, technology and legal services. Our underwriting skills are built on data expertise; it creates the insights we need to give the right cover to the right customers at the right price. But, it’s the people inside and outside our business that power us. They make us stand out, help us succeed. We’re ambitious. We’re growing. We’ve won awards.

Are you passionate about data and its potential to drive success? We're on the hunt for a dynamicData & AI Governance Consultantto champion our groupwide approach for smart and practical data governance at First Central. You'll be the go-to expert, helping our colleagues see data as the treasure it truly is, ensuring we handle it with the utmost care and integrity.

You'll transform Data Governance policies and standards into easy-to-understand nuggets that guide our colleagues across the group. Most importantly, you'll bring the significance of effective Data Governance to life for everyone through captivating storytelling and a practical, business-focused approach to help empower colleagues at all levels to drive benefit from data in a safe, responsible and ethical way whilst maintaining appropriate freedom to innovate and experiment. You’ll also identify new ways of embedding a strong Data Governance culture, driving enhanced processes and behaviours, to continually improve the maturity of our Data Governance framework.

Could you fit the bill? We're big on working flexibly - you'll spend most of your time working from home, with occasional visits to the office. But of course, it’s your choice - if you prefer to be in the office more - that's good with us too. Our offices are located inHaywards Heath, West Sussex, Salford Quays, Manchester, and Guernsey; it’s your choice – if you live further afield, we’ll accept applications for remote workers!

If you're ready to shape the future of AI and data governance, ensuring technology is used as a force for good, we’d love to hear from you.

Core skills we’re looking for to succeed in the role:

  • Strong understanding of data quality and metadata management
  • Knowledge of AI ethics, fairness, bias detection, and explainability
  • Ability to work with data scientists and engineers to ensure AI models are compliant and transparent
  • Ability to translate complex regulatory requirements into business-friendly policies
  • Strong problem-solving mindset to identify and mitigate governance risks
  • Strong advisory and consulting skills to influence business leaders and technical teams
  • Ability to bridge the gap between technology, compliance, data, and AI teams

What’s involved:

  • You’ll support the delivery of the Data Governance Strategy (including Data Classification, Data Security, Retention, Access Control and monitoring) to enable the achievement of overall business ambitions and outcomes.
  • You’ll work with colleagues across the business to regularly undertake Data Governance maturity assessments.
  • You’ll aid in the identification and mitigation of all key data risks, working effectively with the Data Protection, IT Security, Risk, Data Architecture and Data Management functions.
  • You’ll help to drive a culture of Data Governance by design, effectively engaging and partnering with colleagues across the business, enabling data innovation whilst ensuring auditability.
  • You’ll aid in the facilitation of the Data Governance Council and the production of KPIs, including updates from other key data functions such as data quality and metadata management.
  • You’ll promote a culture of agile working, accountability, continuous improvement and psychological safety within the team and across the business.
  • You’ll identify engaging mechanisms to communicate key Data Governance themes effectively to colleagues across the business.

Experience & knowledge

  • Experience in conducting enterprise-wide maturity assessments.
  • Experience of developing data governance roadmaps, with an evidenced background of effective adoption into business processes.
  • Good understanding of all aspects of data governance, including Data Classification, Data Security, Retention, Access Control, and monitoring.
  • Experience of taking complex information and translating it into easily digestible information for less technical colleagues.
  • Experience of building strong mutually beneficial relationships across a business.
  • Experience of supporting cultural change in the way data is used and governed in businesses.
  • Some understanding of Data Quality and Metadata Management capabilities would be advantageous.
  • Experience of General Insurance practices and processes would be advantageous.

Skills & Qualifications

  • Pragmatic and Practical with ability to tailor principles and standards to appropriate situations and audiences in an engaging way.
  • Effective communication, for example conveying information to diverse audiences in a way that is easily understood and actionable.
  • Creative thinking, for example framing new ways of thinking about data governance to drive adoption.
  • Collaboration, for example driving group discussions to consider and agree current maturity scores with business and technical colleagues.
  • Relationship management, for example creating relationships and building trust with internal and external stakeholders quickly.
  • Storytelling, for example by creating a consistent storyline for better understanding and engaging with data governance topics.

What can we do for you?

People first. Always. We’re passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that’s what we offer. Our workplaces are energetic, inspirational, and supportive. To get a taste of the advantages you’ll enjoy, take a look at all our perks in fullhere.

Intrigued? Our Talent team can tell you everything you need to know about what we want and what we’re offering, so feel free to get in touch.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.