BCN
Data Platform & Analytics Lead

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job title: Data Platform & Analytics Lead (Microsoft Fabric / AI Enablement) Location: Manchester or Leeds (hybrid working available) Hours: Monday to Friday, 37.5 hours per week Salary: Competitive + benefits
About BCN: At BCN we unite people and technology to enable organisations to fly.
We believe people and organisations can achieve anything using technology to it’s full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre – building client relationships for life and fostering a culture where our people thrive.
We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation.
Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for.
We are delighted you are on this journey with us!
Focus of the role: The Data & Analytics Lead owns BCN’s enterprise data platform and is responsible for ensuring it supports analytics, AI, and machine learning use cases in a structured, governed, and scalable way. This includes end-to-end accountability for data ingestion, transformation, lakehouse design, semantic modelling, and the development of reliable data products. The role ensures business data is accessible, consistent, and trusted, with clearly defined metrics that enable high-quality analysis, automation, and decision-making. It also establishes a strong platform foundation that accelerates the adoption of AI and advanced analytics, while maintaining appropriate governance, performance, and control.
Responsibilities:
- Data Platform & Lakehouse Architecture Own the design and operation of BCN’s data platform within Microsoft Fabric. Define and implement lakehouse architecture patterns, including data layering, structure, storage and organisation. Manage ingestion, transformation and storage of data across the platform. Ensure the platform supports both analytical and AI/ML workloads.
- Data Modelling & Semantic Layer Define and maintain core business metrics and calculations. Ensure consistent definitions across all datasets and outputs. Develop and manage semantic models used by the business. Ensure data structures are suitable for both analytics and machine learning use.
- Data Products & Analytics Deliver structured datasets and analytical outputs aligned to business requirements. Maintain and enhance existing reporting and analytics solutions. Ensure outputs are aligned to operational processes and clearly understood. Reduce duplication and fragmentation of data across the organisation.
- AI & Machine Learning Enablement Define how AI and machine learning will operate on BCN’s data platform. Ensure data is structured, accessible and governed to support AI/ML use cases. Identify and develop repeatable patterns for applying AI/ML to business data. Enable integration of AI outputs into existing data products and workflows. Ensure AI/ML outputs are traceable, controlled and aligned with defined metrics.
- Delivery Ownership & Roadmap Take ownership of the current data platform implementation. Assess current architecture, datasets and capabilities. Maintain and prioritise the existing backlog, incorporating new requirements. Define and maintain a forward-looking roadmap for data platform and AI capability. Establish a structured delivery approach aligned to business priorities.
- Governance & Control Implement data ownership, stewardship and access controls. Ensure documentation, version control and change management are maintained. Maintain auditability and traceability of data, calculations and AI outputs. Ensure appropriate control frameworks are applied to AI and machine learning usage.
- Stakeholder Engagement Work with business stakeholders to define data and AI requirements. Translate requirements into structured data and platform capabilities. Ensure outputs are aligned to business processes and decision-making needs.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Person, Skills & Experience: Strong experience with Power BI, including data modelling, DAX and semantic model design Hands-on experience with Microsoft Fabric, particularly lakehouse architecture, notebooks and data pipelines Strong understanding of Apache Spark / PySpark and large-scale data processing Experience designing and operating modern data platforms Experience developing or enabling AI and machine learning capabilities using business data Strong understanding of data preparation, feature engineering and model evaluation Experience with Python-based data and ML tooling, e.g. Pandas, NumPy and scikit-learn Experience with ML tooling within Microsoft Fabric or Azure, e.g. MLflow, notebooks, SynapseML or equivalent Ability to structure data for AI/ML use and integrate outputs into business processes Proven ability to assess, design and evolve data platforms in a structured manner


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to haves Experience with Azure OpenAI or adjacent AI services used within governed enterprise environments Experience productionising ML solutions, including monitoring and lifecycle management Experience working with unstructured or semi-structured data in a lakehouse context Experience defining standards for reusable data products and AI-ready datasets
Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community – if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more Life assurance Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on-site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones Beer (or soft drinks) and Pizza at the end of month, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills