Responsibilities

• Collaborate with technical and commercial stakeholders to act as the primary translator between data science, business intelligence, systems engineering, and business teams.
• Own and execute end-to-end ambiguous projects, including building frameworks to evaluate market share against total addressable market (TAM) or operationalizing machine learning models into business processes.
• Simplify and optimize Go-to-Market (GTM) models by streamlining frameworks to reduce complexity, improve execution speed, and drive efficiency across sales teams.
• Elevate the AI Threat Defense initiative from tactical and operational execution to industry-leading thought leadership, establishing strategic benchmarks and positioning the team as an internal and external authority.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in go-to-market strategy, sales operations, strategy and operations, management consulting, finance, or program management.
• Experience with core business operations (e.g., sales-play planning, running business performance reviews, or targeting governance).
• Experience with data analysis, generating data-driven insights to influence decision-making (e.g., SQL, BigQuery, BI platforms, etc.).
• Experience working with executive-level clients or stakeholders to present data analysis, propensity models, or business performance metrics.

Preferred

• MBA or other relevant advanced degree.
• Experience in management consulting, finance, or business strategy function.
• Experience collaborating with data scientists, BI engineers, or GTM systems developers.
• Experience working with sales targeting models, propensity-based prioritization, and scaling GTM performance metrics (e.g., tracking win-rate lifts, campaign conversion, or new logo acquisition).
• Track record of high productivity and execution under tight deadlines, with a willingness to challenge assumptions, take direct ownership, and drive business outcomes.
• Excellent relationship-building skills with sales leaders, product practice managers, and cross-functional stakeholders (e.g., BI, sales operations, tooling and systems teams).