Data Governance Programme Lead

Bristol
1 week ago
Create job alert

Job Title: Data Governance Programme Lead

Duration: 12 months

Pay: £450 - £550 per day inside IR35

Overview:
An organisation is driving a major transformation focused on data and digital innovation. To support this, a Data Governance Programme Lead is needed to design and implement a structured data governance operating model. This role involves assessing the current landscape, defining requirements, demonstrating value, and fostering internal engagement.

Key Responsibilities:

Lead the project, ensuring strategic alignment, risk management, and on-time delivery.

Serve as a key liaison for consultancy teams, validating methodologies and maintaining quality standards.

Establish a sustainable data governance framework with clear knowledge transfer processes.

Champion the initiative, securing stakeholder buy-in and upskilling teams.

Programme Objectives:

Align the project with broader organisational goals.

Ensure strong governance and oversight throughout execution.

Work with the Project Manager to secure approvals and funding.

Provide strategic support and guidance to the project team.

Address high-level challenges and mediate stakeholder concerns.

Build a compelling internal case for data governance.

Project Objectives:

Define clear deliverables, expected outcomes, and success measures.

Develop a structured approach to project execution.

Work with the Project Manager to create detailed work plans.

Identify necessary resources and expertise.

Plan and manage project budgets.

Implement a strong communication strategy to engage stakeholders.

Identify risks and mitigation plans.

Establish performance evaluation criteria.

Create feedback loops for continuous improvement.

Essential Experience and Competencies

Data Governance & Strategy Expertise

Deep knowledge of data governance frameworks (e.g., DAMA, DCAM, CDMC).

Experience leading governance initiatives within public sector or geospatial domains.

Understanding of data management, quality control, and compliance standards.

Strategic Leadership & Business Change

Ability to integrate data governance with business objectives and secure investment.

Work closely with change management teams to embed governance as a core business function.

Programme & Supplier Management

Experience in programme/project management methodologies (MSP, Agile, etc.).

Proven ability to manage external suppliers, ensuring project milestones are met.

Skilled in budget management, risk assessment, and issue resolution.

Stakeholder Engagement & Communication

Strong engagement skills with senior leadership and technical teams.

Ability to bridge technical and business perspectives, translating governance into tangible value.

Excellent communication and influencing abilities.

Desirable Experience

Experience with data governance in hybrid cloud environments.

Understanding of AI/ML governance and data readiness.

Experience leading enterprise-wide data governance transformations.

This is a fantastic opportunity to lead a high-impact initiative, embedding data governance best practices and ensuring long-term organisational success.

How to apply?

Send CV to (url removed)

People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

Related Jobs

View all jobs

Interim Head of Data

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

Data Governance Operating Model Business Lead

Data Architect / Data Workstream Lead

Loyalty & CRM Marketing Manager

Senior Data Manager

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.