Data, AI & Innovation Lead

National Skills Agency; Manchester; Remote; GBP 60,000 - 90,000; Full time

Job summary

A leading educational organisation is seeking a Data, AI & Innovation Lead to drive transformation and build a connected, data-driven culture. The role demands expertise in data integration, a strong grasp on APIs, and leading teams through change. Candidates should have experience with tools like Power BI and Python, with a focus on embedding AI within operations. This role offers the opportunity to innovate and scale digital capabilities across the organisation.

Qualifications

• Proven experience designing and implementing data integration and automation projects.
• Strong understanding of systems architecture, APIs, and cloud-based platforms.
• Minimum 2 years' experience with Power BI and automation tools.
• Strong proficiency in Python, SQL, and Power Query.
• Experience leading cross-functional teams in a change context.

Responsibilities

• Design and implement a connected data architecture using secure APIs.
• Define strategy to eliminate data silos and reduce reliance on spreadsheets.
• Identify and address gaps in data flow to improve system integration.
• Oversee long-term systems integration strategy to align with centralised data infrastructure.
• Pilot AI-powered tools to enhance operational workflows.

Skills

Data integration

Systems architecture

Power BI

SQL

Python

Communication

Tools

Power BI

Power Automate

Excel

Job description

Overview

This is a home based role. Data, AI & Innovation Lead

Purpose of the Role

Our client is seeking a Data, AI & Innovation Lead to lead the transformation into a connected, data-driven, and AI-enabled organisation. This role is responsible for architecting and delivering a modern digital infrastructure that enhances performance, scales operations, and embeds intelligent decision-making across the organisation.

Beyond transformation, the role will ensure lasting capability by establishing a scalable digital foundation, upskilling teams, and embedding agile data governance. The focus is on building a culture of continuous innovation—moving beyond one-off solutions to adaptable, future-proof systems that leverage emerging technologies and support rapid responses to market needs.

Key Outcomes

• A fully integrated data ecosystem connecting all major business platforms (e.g. CRM, finance, and learner/ERP systems).
• Real-time, accurate dashboards that support decision-making across departments.
• AI tools embedded into daily operations (e.g. predictive analytics, automation, chatbots).
• Elimination of manual trackers through intelligent, self-updating data systems.
• A culture of innovation and digital literacy embedded across the organisation.

Key Responsibilities

• Lead and maintain the design and implementation of a connected data architecture using secure APIs, automated workflows, and standardised data structures.
• Define and implement a strategy to eliminate data silos and reduce reliance on spreadsheets and offline trackers.
• Continuously identify and address gaps in data flow, reducing manual processes and improving integration between systems.
• Oversee the long-term systems integration strategy, ensuring that new tools and processes align with a centralised, future-proof data infrastructure.
• Identify opportunities to embed AI into operational workflows (e.g. automated risk alerts, engagement tracking, intelligent resource allocation).
• Pilot and scale AI-powered tools such as language models, chatbots, predictive dashboards, and automation, working with system partners where required.
• Stay ahead of emerging technologies and assess relevance to strategic goals.
• Act as the organisational lead for digital innovation and transformation, fostering a tech-first mindset and supporting digital skills development.
• Champion user-friendly, data-informed tools that empower teams and reduce manual workload.
• Promote digital confidence and capability across departments through training, coaching, and best-practice guidance.
• Establish robust data governance, including access permissions, version control, and compliance safeguards.
• Provide the senior leadership team with strategic insights to inform forecasting, risk management, and performance reviews.
• Line-manage a small IT/digital team with a broad remit across hardware, software, and innovation.
• Commission and oversee third-party partners when required.

Skills & Experience Required

• Essential:
• Proven experience designing and implementing data integration and automation projects.
• Strong understanding of systems architecture, APIs, and cloud-based platforms.
• Minimum 2 years' experience working with Power BI, Excel, and/or automation tools such as Power Automate in a fast-paced environment.
• Strong proficiency in Python, SQL, DAX, and Power Query (M language).
• Experience leading technical or cross-functional teams in a change or transformation context.
• Excellent communication skills with the ability to translate technical concepts for non-technical audiences.
• Desirable:
• Experience implementing AI tools within education, apprenticeships, or similar sectors.
• Awareness of data protection, security, and audit requirements.
• Exposure to business systems such as CRM, ERP, or apprenticeship management platforms.
• Understanding of Large Language Models (LLM)