Head of Business Intelligence

Compass Community

Birmingham

1 month ago

Applications closed

Related Jobs

View all jobs

Head of IT and Business Intelligence

Lead Data/Head of Data Engineer

Business / Data Analyst

Data Architect

Head of Data Science

Head of Data Engineering (AI)

Are you a Life Changer? Do you want to lean in and transform the life of a child? Compass Community puts children first through our therapeutic, innovative approach. Integrity, Courage and Care shape how we work. We listen deeply, challenge each other and fixing what needs fixing, together.

This is the work. And we’d like you to be part of it. At Compass Community, our mission is to create better futures for children, young people, and families through care, education, and support. Data is central to how we deliver safe, high-quality, and outcome-focused services. We’re building a cutting-edge Business Intelligence team to power our strategic vision—and leading that team is the Head of Business Intelligence.

This is a unique opportunity to be part of a transformative journey, leading the design and delivery of our next-generation data platform to support safeguarding, residential and foster care, education, and operational functions.

The Role

As the Head of Business Intelligence, you will act as the lead strategist and technical owner of the Compass Azure Data Platform. This role combines technical architecture, agile leadership, and cross-functional collaboration to deliver impactful data and reporting solutions.

You’ll take full ownership of Azure Fabric components—including Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI—and lead a high-performing data engineering team. Your work will directly support operational excellence, regulatory compliance, and improved outcomes for children across the UK.

Key Responsibilities
Strategic & Technical Leadership

Define and evolve the BI and data platform strategy across safeguarding, care services, HR, finance, and compliance.
Lead an agile data engineering team, guiding architecture, development standards, and delivery roadmaps.
Manage backlog, sprints, and release cycles using Scrum methodologies.

Platform Ownership & Governance

Govern the end-to-end Azure Fabric stack (Data Lake, Factory, Databricks, Power BI).
Manage metadata, master data, access controls, incident resolution, and platform monitoring.
Drive platform innovation, including the use of AI and advanced analytics.

Operational Delivery

Translate complex business needs into scalable data solutions and iterative deliverables.
Balance sprint capacity across new development and platform enhancements.
Maintain high data quality, availability, and regulatory readiness.

Stakeholder Engagement

Collaborate with internal teams and insight leads to build meaningful dashboards and performance reports.
Champion self-service BI and data literacy across all departments.
Act as a trusted data partner to senior stakeholders and regulatory bodies.

Compliance & Quality Assurance

Uphold strict compliance with GDPR, safeguarding policies, and audit standards.
Deliver timely, accurate information for statutory reporting and inspections.
Maintain comprehensive data documentation and data dictionaries.

Skills & Experience

3–5 years’ experience in leading a BI function and BI architecture.
Bachelor’s degree in data science, Computer Science, or a related field.
Expert knowledge of Azure-based tools: Data Lake, Data Factory, Databricks, and Power BI.
Strong background in data modelling, integration, metadata governance, and platform orchestration.
Hands-on experience with SQL data warehousing and full lifecycle data delivery.
Proven ability to manage Agile/Scrum teams and deliver in both Agile and Waterfall environments.
Strong stakeholder engagement and ability to translate technical insights to non-technical users.
Experience as a Senior BI Developer or Data Engineer.
Prior work in childcare, social care, or education sectors desirable.
Knowledge of safeguarding regulations, GDPR, and data security principles also desirable.

Why Join Compass Community?

Play a direct role in improving services that support vulnerable children and families.
Be part of a forward-thinking digital team that values innovation, efficiency, and social impact.
Competitive salary and benefits package.
Opportunities for personal growth, training, and professional development.
Flexible, supportive working environment.

About You

About Us

Not Specified

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Jan 23, 2026

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.