Commercial Director - Data
Listed on 2026-06-28
-
IT/Tech
Technical Sales, Data Analyst -
Sales
Technical Sales
Job Description
The
Commercial Director for Data plays a keycommercialleadershiproleintakingresponsibility fordeliveringthecommercial outcomes for Version 1’s data businessandproviding specialist data salesexpertiseacrosstheend-to-endsales cycle.
Astheaccountablepersonforthecore data commercial KPI’s,youwill work closely with sales, pre‑sales, technical teams, marketing, and partners to supportthepositioning and sale of Version 1’s data services and solutions to new and existing clients.
Thefocus oftherole is to increase Version 1’s data revenuein line with group growth targetsby contributing sales insights, refining messaging, and ensuring alignment with market trends, customer needs, and emerging technologies, ensuring Version 1 are attheforefront ofthemarket for data ledconsulting and solutions.
Youwillbringan in depth understanding of data solutions, consultative selling skills, and the ability to translate technical capabilities into business value for prospective customers.
You willleadclient-facing engagements to understand client requirements, run workshops, and shape proposals that draw on yourexpertiseindata solutions. This includes developing compelling bid responses, creating reusable accelerators and offerings, and providing subject matterexpertisefordelivery teams.
This is a high-impact, hybrid role that combines hands‑oncommercialleadership with strategic consulting and business development. The role wouldsuit someone with a goodfoundationin data architecture,consultinganda passion forimprovingbusinessoutcomes through data and AI.
Key Responsibilities- Assist Sales Leadsin managing and qualifying data solution opportunities.
- Providespecialist sales insights to align customer needs with Version 1’s data offerings,engagingdirectlyinsales opportunities,bidproduction,customerpresentationsandcontractualnegotiationswhereapplicable.
- Collaborate with marketing, delivery, and partner teams to support demand generation and targeted campaigns.
- Support customer discussions by showcasing
Version 1’s data capabilities in areas such as data engineering, analytics, AI/ML, and cloud data platforms. - Work with technical pre‑sales teams to help shape tailored solutions that meet customer requirements.
Ensurethesesolutionsare reflectedaccurately tosupportpositive salesoutcomesinproposals,tenderresponsesandcustomer presentations. - Assistin refining Version 1’s data value proposition, ensuring clarity ondifferentiatorsand industry best practices.
- Work with sales leadership and Data & AI Service Lineleads to develop and implementgo‑to‑marketstrategiesto position Version 1 as marketleadersfor data solutions.
- Assistin developing sales collateral, pitch decks, and value messaging tailored to different industries and customer personas.
- Stay informed on industry trends, market positioning, and emerging technologies to supportthesales approachacross Version 1 core verticals – Government, Financial Services, and Private Sector.
- Work alongsidepartners, includinghyperscaleproviders (Microsoft, AWS, Oracle) and data platform vendors (Databricks, Snowflake), todevelop andimprovedatasolution offerings.
- Support engagement with Version 1’s delivery and engineering teams to ensure sales commitments align with execution capabilities.
- Identify co‑sell opportunities and collaborate with partners tomaximisecustomer value.
- Assistin tracking and managing pipeline activity, ensuringaccurateforecastingand reporting of sales performance across Version 1’s data portfolio.
- Be responsible fortheTCV and Revenue KPIs forthe
Data Service Line, working with Sales Leads to achieve growth objectives. - Provideinsights and feedback tothedataleadership team to refine offerings based on customer demand.
- Experience in B2B data technology and capability sales, preferably in data solutions, analytics, or cloud platforms.
- Experience with Azure Data Services, AWS, Databricks, Snowflake, Oracle, and Power BI.
- Solid understanding of data platforms, data engineering, AI/ML, analytics, and cloud ecosystems.
- Ability to work with senior decision‑makers (CIOs, CTOs, Heads of Data & Analytics).
- Ability to explain technical concepts clearly to both…
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