Job Title

Job DescriptionThe Productivity Analytics Manager is responsible for defining metrics and reporting requirements, and owning analytics that shape the GTM productivity story across Sage. They will identify and prioritize high-value opportunities for productivity gains, working across functions to quantify their commercial impact and measure ROI over time. Acting as the central analytics partner to the GTM Productivity team, this person connects data, insight, and change collaborating closely with Commercial Finance, People Analytics, Sales Operations, and SIGMA teams to ensure data alignment, consistency, and relevance. Through structured analysis and narrative-driven insight, the role influences strategic decisions, shapes business cases, and embeds a data-driven mindset across the GTM organization for scaling productivity.Key ResponsibilitiesDefine and govern GTM productivity metrics and reporting requirements across Sage-wide and Intacct dashboards.Identify and size high-impact productivity opportunities, working with Productivity Managers to quantify commercial value. Track the ROI of improvement initiatives, linking insights to measurable outcomes.Collaborate with digital enablement and GTM leaders to quantify how AI can scale productivity through data-led and ROI analytics.Partner with SIGMA and data owners to ensure reliable, aligned data inputs for productivity reporting.Integrate capacity and headcount planning metrics into dashboards with the RTR Planning team.Deliver on the GTM analytics roadmap, enabling root cause analysis and scalable insights.Collaborate across Finance, People, and Sales Ops to align insight, metrics, and planning.Skills, Know-How, and ExperienceMust have:Experience in data analytics, business intelligence, or GTM analytics in a SaaS or B2B environment.Deep understanding of SaaS and GTM productivity metrics (e.g., CAC, ramp time, pipeline efficiency, revenue per FTE).Strong hands-on experience with data visualization and BI tools.Skilled in SQL, Excel, and experience with AI/ML tools for commercial data is a plus.Experience working across cross-functional teams to align data requirements and build shared insight.Commercial acumen and ability to translate technical analysis into business insight.Preferred:Commercial Finance ExperienceSaaS Revenue OperationsBenefits include generous bonuses, pension scheme, paid leave, volunteer days, health coverage, hybrid working, and ongoing training. Learn more about working at Sage through our video and careers page. #J-18808-Ljbffr