Data Lead

Data Storytelling & Insight Leadership 

• Transform complex datasets into clear, engaging, actionable insights for senior stakeholders. 

• Develop interactive data stories, dashboards, and analytical narratives that drive operational improvement and strategic decision making. 

• Build and own a library of reusable storytelling frameworks and visual standards for the organisation. 

• Present insights across SLT, clients, and operational leadership in a clear, compelling, and evidence driven way. 

Advanced Analytics & Data Science 

• Apply statistical, predictive, and machine learning techniques to solve operational problems (forecasting, pattern detection, root cause, optimisation, segmentation). 

• Develop and operationalise ML models using Snowflake Snowpark, Databricks (PySpark, MLflow), and Python environments. 

• Ensure models are explainable, governable, and suitable for public sector and regulated environments. 

• Support the development of AI ready pipelines (embeddings, RAG, vector stores, evaluations). 

Streamlit App Development (Frontend for Data) 

• Build Streamlit based internal apps and insight tools connected to Snowflake. 

• Translate operational needs into intuitive self-service tools for leaders and frontline teams. 

• Build user-friendly interfaces for predictive models, performance insights, and scenario simulations. 

Data Engineering for Analytics 

• Collaborate with Data Engineering and Snowflake teams to ensure curated tables meet analytical requirements. 

• Build robust Snowpark Data Frame pipelines, UDFs, and Python based transformation logic when needed. 

• Perform advanced data preparation across large, Mult structured datasets (contact centre, telephony, CRM, quality, knowledge, WFM). 

Data Visualisation 

• Build and optimise enterprise level dashboards aligned to Capita visual standards, in various presentations layers from Power BI, Quick sight and StreamLit 

• Enhance semantic models and datasets to ensure performance and governance. 

• Enable self-service reporting, driving adoption across operational teams. 

AI Enablement & Future Ready Data 

• Partner with technology and AI teams to provide the data and evaluation layers for future copilots and agentic workflows. 

• Build evaluation frameworks to measure accuracy, hallucination, and reliability of AI outputs. 

• Enable safe, governed, data backed AI deployment across the contact centre. 

What We’re Looking For (Essential) 

Technical Expertise 

• Strong experience in Snowflake including Snowpark, SQL, Python UDFs, ELT optimisation, and performance tuning. 

• Proficiency in Python, including pandas, NumPy, scikit‑learn, and data visualisation libraries. 

• Hands‑on experience with Databricks (PySpark, MLflow, Delta, notebooks). 

• Ability to build Streamlit apps connected to Snowflake or Databricks. 

• Strong Power BI modelling and visualisation skills. 

• Experience building predictive, statistical, or ML models in production environments. 

• Ability to work with large structured and semi structured datasets (JSON/variant, operational logs, telephony data, etc). 

Data Storytelling & Communication 

• Exceptional ability to translate data into clear, compelling narratives for non‑technical audiences. 

• Skilled in visual communication, insight design, and executive level presentation. 

• Confident working with SLT, clients, and operational leadership. 

Ways of Working 

• Strong problem solving mindset and intellectual curiosity. 

• Ability to operate in fast paced transformation environments. 

• Comfortable working in ambiguous areas, shaping structure and clarity from the ground up. 

• Collaborative, proactive, and able to influence a broad range of stakeholders. 

Desirable 

• Experience with contact centre data environments (Amazon Connect, QA, WFM, CRM). 

• Experience enabling or evaluating LLM/GenAI workloads (RAG, embeddings, prompt engineering). 

• Familiarity with automated testing, model monitoring, CI/CD in Databricks. 

• Knowledge of public sector and regulated data governance. 

• Experience with behavioural analytics and journey optimisation. 

What Success Looks Like 

• Clear, powerful data narratives adopted across SLT, clients, and operational teams. 

• Streamlit apps and Power BI dashboards that significantly improve decision making. 

• Predictive insights that drive performance, quality, and citizen outcomes. 

• AI ready datasets and evaluation frameworks enabling safe deployment of copilots and automation. 

• A trusted, high performing data capability embedded into the transformation programme.