Job Description
Are you passionate about turning data into action and precision into impact? We're looking for a detail-oriented, data-savvy professional to become the engine behind our Account-Based Experience (ABX) strategy.
In this role, you won't just build account lists—you'll shape the very foundation of our ABX efforts by identifying and maintaining high-value accounts, enriching them with real-time insights, and enabling marketing, sales, and customer success teams to hit the ground running.
This is a Hybrid position with 3 day per week in our Newcastle Office
What You'll Do:
Create and Curate Target Account Lists (TALs)
Use internal data, external vendors, and our CDP to build dynamic account lists aligned with our Ideal Customer Profiles (ICPs). These aren't just static lists—they evolve with the business and buyer intent.
Deliver Journey-Based Insights
Track how accounts move through the customer journey. Spot drop-offs, share insights, and shape mid-funnel strategy with actionable intelligence for Product Owners.
Collaborate with Automation & AI
Team up with our Data Scientist to bring automation to life—think auto-refreshing lists, ICP-driven triggers, and scalable segmentation powered by real-time data.
Power Up Our CDP (Segment)
Work with the CDP Product Owner to ensure enriched data flows into Segment seamlessly. Help configure smart segments that fuel high-performing ABX campaigns.
Enable Cross-Functional Success
Regularly share tailored TAL insights with Sales, Marketing, and Customer Success. Ensure they always have the right data, at the right time, for the right objective.
Champion Data Quality & Continuous Improvement
Audit data integrity, flag anomalies, and refine ICP definitions with feedback loops from ABX teams.
What You'll Need:
* Experience working with customer data platforms (CDPs), ABX/ABM strategies, or data enrichment platforms
* Strong analytical mindset with a knack for identifying patterns in customer behaviour and business data
* Familiarity with firmographics, technographics, and intent data
* Excellent collaboration skills—able to work across Product, Data Science, Sales, and Marketing
* A proactive approach to process improvement and data quality management