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AnaplanPosted 1 month ago
EXPIRED

Business Operations Manager - Product, Data Insights & Reporting

On-siteYork, England, United Kingdom

Full TimeSenior LevelLargeSoftware Platform

Job Summary

Establish deep partnerships with engineering and product stakeholders to act as the strategic bridge between analytical execution and business decision-making. Translate complex data points into compelling narratives that frame the roadmap for senior leadership and drive meaningful alignment. Navigate organizational dynamics and competing priorities with high political acumen to ensure data-backed recommendations are adopted and operationalized. Lead and mentor a lean team of technical analysts, providing the necessary support for deep execution while coaching them on communication and influencing skills. Maintain stakeholder momentum and manage expectations gracefully during long delivery cycles to keep partners excited about the analytics vision.

Required Qualifications

  • Strong experience within the technology industry
  • Extensive knowledge of product operations, business insights, program management, or a related role—ideally within a fast-paced SaaS, product, or engineering organization
  • A strong background of direct people management experience, with a proven track record of hiring, developing, and leading high-performing teams
  • Exceptional communication, executive presence, and interpersonal skills, with the ability to influence and build consensus among senior leadership
  • Proven track record of working closely with cross-functional stakeholders (Product, Engineering, Customer Success, Finance) and successfully influencing decision-making without direct authority
  • Strong storytelling and presentation skills, with a demonstrated ability to turn complex technical data into simple, actionable insights for senior leadership
  • Ability to manage a high volume of incoming requests, establish clear operational triage frameworks, and comfortably manage stakeholder expectations
  • A solid understanding of how product analytics and reporting structures operate (e.g., data flows, modeling, or visualization tools) to effectively translate technical needs, though hands-on coding/modeling is not required
  • Deep understanding of modern development methodologies (e.g., Agile, SAFe) and the product lifecycle in a SaaS context

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