Business Operations Manager – Product, Data Insights & Reporting

Overview

In this role you serve as the strategic bridge between data execution and business decision-making. You transform product data into actionable insights for Product and Engineering, aligning senior leadership around data-driven roadmaps. You’ll navigate organizational dynamics, influence diverse teams, and coach a lean analytics team to sustain long-term analytics vision. This position offers meaningful impact by shaping decisions that drive product outcomes and organizational priorities.

Responsibilities

• Establish trusted partnerships with engineering, product, and cross-functional leadership to align analytics with business decisions
• Translate analytics projects into compelling narratives that resonate with senior stakeholders and drive roadmap alignment
• Navigate organizational priorities with political acumen to ensure data-backed recommendations are adopted
• Maintain stakeholder momentum during long delivery cycles and keep partners engaged with the analytics vision
• Advocate for analytics, building cases for expanded support and impact
• Lead, mentor, and protect a lean team of technical analysts, coaching on communication and influencing skills
• Act as the primary strategic bridge between analytical execution and business decision-making

Key requirements

• Experience in the technology industry
• Knowledge of product operations, business insights, program management in fast-paced SaaS/engineering environments
• Direct people management experience with a track record of hiring and developing teams
• Excellent communication, executive presence, and interpersonal skills to influence senior leadership
• Proven ability to work with cross-functional stakeholders (Product, Engineering, Customer Success, Finance) and influence without formal authority
• Strong storytelling and presentation skills to translate complex data into actionable insights for executives
• Ability to manage high volumes of requests with clear triage and stakeholder expectations
• Understanding of product analytics and reporting structures (data flows, modeling, visualization); hands-on coding/modeling not required
• Knowledge of modern development methodologies (Agile, SAFe) and SaaS product lifecycles

• collaboration
• influence
• stakeholder management
• product analytics
• data visualization
• data modeling

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