Director, Data Analytics

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning deals, advisory and restructuring capabilities.

We deliver tangible results for global businesses, their investors, and 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.

Our diverse teams provide specialist technical knowledge combined with deep sector experience across our service line specialisms. Since our foundation in 2021, Interpath has grown rapidly, and we now have a presence across the UK, Ireland, France, Germany, Austria, Spain, BVI, Cayman Islands, Bermuda, Barbados, and Hong Kong. By 2030 we aim to be one of the world's leading advisory firms with a truly global footprint.

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. 

We are seeking a candidate who can combine a sharp commercial instinct with deep technical expertise. You will be expected to own client relationships, originate and convert opportunities, and deliver high-quality, high-value data services to our clients.

We welcome candidates with deep experience across Data Strategy, Governance, Engineering, Analytics, Business Intelligence and AI/ML – particularly those who have advised clients in a Value Creation, Transaction Services, Forensic or Compliance context.

Key Accountabilities:

This role includes both leadership and delivery, with a focus on growing revenue, building the team, and shaping our market offering:

• 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.

• 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 (eg 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.