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Director, Data Analytics
Interpath
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
Über
Overview Interpath is looking for a commercially driven, senior leader to help grow and lead the Data Analytics team, which forms part of Interpath's Data & Technology consulting group. This is a key leadership hire in our Data Analytics team—a fast‑paced, high‑impact group delivering data solutions across multiple service lines at Interpath.
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' of 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 (or equivalent) in Computer Science / Mathematics / Statistics or equivalent
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 through 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 (but not essential)
Exposure to AI/ML, NLP or advanced modelling
Exposure to the modern data stack tools (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. That's why we provide employees with a competitive and comprehensive reward package including compelling salaries and a range of core and optional benefits. Read more about our benefits; Company Benefits - Interpath
Unsolicited Resumes from Third‑Party Recruiters Please note that Interpath do not accept unsolicited resumes from third‑party recruiters. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Interpath will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
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Sprachkenntnisse
- English
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