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Mars Wrigley in Warsaw is seeking a Sales Systems Project Lead to own the coordination and delivery of digital sales tools, reporting environments, and automated data workflows across sales teams. You will bridge business needs with external IT vendors, drive schedules, manage risk, and lead end-to-end implementations.
You will also oversee the technical foundation—SQL, dashboards, and automated reporting—ensuring data quality and strong system adoption.
in Mars Wrigley
Sales Department
Location: Warsaw
Hybrid working
This is a fixed term contract until December 2027
As the Sales Systems Project Lead, you will take operational, hands-on ownership of project coordination and delivery for digital sales tools, reporting environments, and automated data workflows across commercial and field sales teams. Acting as the central operational bridge and technical liaison, you will coordinate end-to-end implementation cycles, from gathering practical requirements across Sales and Sales Operations, translating them into actionable backlogs for external IT vendors, to actively managing schedules, risk mitigation, and operational status reviews. In parallel, you will independently handle the technical foundation (relational databases, SQL queries, automated reporting pipelines, and dashboards), bringing structure to ambiguous processes, coordinating user validation and rollouts, resolving data anomalies, and ensuring high system adoption and reliable daily tool availability.
Define project boundaries, business objectives, milestones, and success criteria for sales tools and data initiatives; facilitate status meetings, and retrospectives; actively identify delivery bottlenecks, manage scope changes diplomatically, and drive mitigation plans to keep rollouts on track.
Serve as the day-to-day operational bridge between commercial stakeholders and external software/data vendors; translate business workflows into clear functional specifications and acceptance criteria; supervise external deliverables and continuously automate repetitive reporting and data collection processes.
Extract, clean, and integrate sales data from multiple relational sources using SQL; monitor data consistency, proactively identify and resolve anomalies to ensure accurate, transparent, and timely data to support commercial decision-making.
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