Director, Data Analytics in Manchester

Interpath is an international, fast‑growing advisory business with deep expertise across deals, advisory and restructuring. We deliver tangible results for global businesses and their stakeholders when complex problems arise and critical decisions need to be made. Interpath is agile, independent and conflict‑free, and our passion for doing what’s right, every time, sets us apart.

Key Accountabilities

• Own and lead client relationships, identifying opportunities to expand Interpath’s data services footprint.
• Drive business development and sales efforts, converting leads into high‑value engagements through compelling storytelling and solution design.
• Shape and deliver Deals Analytics support.
• Customer profiling, segmentation & profitability.
• Demand forecasting & inventory management.
• Supply chain & procurement optimisation.
• Design and scale our Data Insight Playbook, codifying repeatable offerings and accelerating time to value.
• Champion the “art of the possible” in data—challenging traditional thinking, inspiring clients and leading change.
• Provide hands‑on leadership on engagements—guiding technical delivery and ensuring commercial outcomes.
• Oversee creation of impactful dashboards and predictive models to drive strategy, uncover trends and generate ROI.
• Define the optimal data architecture and infrastructure to support analytics use cases.
• Lead the development of new data capabilities and solutions in the team, including cloud‑based and open‑source technologies.
• Build, coach and develop a high‑performing data team; attract and retain top talent.
• Shape Interpath’s voice in the market on data—through thought leadership, events and published content.

Requirements

• 10+ years’ experience in the Data Analytics space (preferably in a consulting context) with at least 2 years at a senior leadership level.
• University degree 2.1 or higher (equivalent) in Computer Science, Mathematics, Statistics or related discipline.
• Proven track record in winning and delivering large, complex, data‑led engagements.
• Demonstrable ability to own client relationships, originate work and grow revenue.
• Deep understanding of the full data lifecycle—from strategy, governance and engineering to BI and advanced analytics.
• Strong experience designing and implementing modern data platforms (cloud, on‑prem, hybrid).
• Skilled in data visualisation and storytelling—able to translate technical outputs into commercial insights for senior stakeholders.
• Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik), SQL and data engineering, Python or R, Cloud technologies (AWS, Azure, GCP).
• Strong communication and stakeholder management skills; comfortable influencing C‑suite clients.

Advantageous Competencies

• Exposure to AI/ML, NLP or advanced modelling.
• Exposure to the modern data stack (e.g., Snowflake, Databricks).
• Experience managing P&L, setting go‑to‑market strategy or building consulting practices.
• Exposure to behavioural data sources (e.g., Google or Adobe analytics).

Benefits

At Interpath, our people lie at the heart of our business. We provide employees with a competitive and comprehensive reward package that includes compelling salaries and a range of core and optional benefits.