Strategic Business Performance, Central Strategy & Operations
New
J
JobgetherTechnology, Strategy
Based in the United StatesFull-TimeSenior
Salary$212,300–$318,500
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Job Details
- Experience
- 12+ years
- Required Skills
- PythonSQLData AnalysisProduct ManagementProduct AnalyticsR
Requirements
- 12+ years of experience in product analytics, product strategy, or strategic business performance within high-growth technology organizations.
- Significant experience in Product Strategy, Product Management, or GM-style roles with P&L or key business metric ownership.
- Proven ability to leverage analytical insights to influence business growth and operational outcomes.
- Advanced analytical capabilities with proficiency in SQL, Python, R, or comparable data tools.
- Strong understanding of business models, customer behavior, and product usage mechanics.
- Solid technical understanding of how software products are built, operated, and scaled.
- Experience navigating ambiguous cross-functional challenges involving senior stakeholders.
- Proven ability to communicate complex findings to executive and cross-functional audiences.
- Experience using AI tools to improve analytical speed, decision-making, and operational efficiency.
- Experience influencing cross-functional roadmaps and developing creative solutions to complex challenges.
- Strong understanding of how product releases, policy changes, and marketing initiatives impact user experience and operational outcomes.
Responsibilities
- Define and maintain key performance metrics to provide a high-signal view of business health.
- Lead high-priority deep dives and intervention projects to diagnose risks and identify root causes.
- Translate long-term strategic priorities into structured, actionable operational plans across product, risk, and marketing functions.
- Prepare clear, decision-oriented materials synthesizing complex data for senior executives.
- Partner with cross-functional teams to identify execution gaps and connect market dynamics with internal performance.
- Analyze customer usage patterns and financial data to uncover non-obvious opportunities and risks.
- Facilitate stakeholder working sessions to accelerate decision-making and performance alignment.
- Apply AI tools to enhance analysis, workflow efficiency, and operational rigor.
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