Business Operations Analyst — AIML

The SWE Ops Infrastructure u0026 Planning team is seeking an analytical proactive and collaborative Business Operations Analyst to bring structure operational rigor and standardization to our AIML this role you will coordinate strategic planning cycles steer quarterly fiscal planning activities manage business rhythms and partner closely with engineering research finance EPMs and cross-functional leadership. You will serve as a key operational partner in headcount tracking budget forecasting and vendor procurement delivering the insights processes and frameworks that empower leaders to optimize resource allocation make informed decisions and execute seamlessly against our highest priorities.

The SWE Ops Infrastructure u0026 Planning team is committed to fostering a culture of technical excellence and operational discipline. As our research and engineering initiatives grow in scale and complexity we are looking for an exceptional operations analyst who thrives in bringing structure to ambiguity connecting the big picture to operational execution and elevating how the entire organization ideal candidate pairs strong project management acumen and deep analytical capability with exceptional interpersonal skills. You will drive alignment across machine learning scientists engineering leads finance and cross-functional partnerschampioning clarity accountability and continuous improvement while ensuring disciplined stewardship of our financial and headcount resources through proactive forecasting and vendor management. You embody a passion to fight for excellence (striving for exceptional outcomes without settling) and the foresight to see around corners (anticipating long-term organizational technological and strategic trajectories).

Strategic Planning u0026 Cadence: Drive annual quarterly and ongoing strategic planning exercises. Own end-to-end coordination session planning milestone tracking and follow-through accountability across leadership and functional u0026 Financial Planning: Partner with Finance and Operations on headcount tracking budget forecasting and vendor/procurement coordination to ensure responsible resource -Functional Influence u0026 Alignment: Build trust and manage dependencies across diverse partner organizations (including Finance Operations Legal and Product teams). Proactively identify risks unblock bottlenecks and ensure joint accountability across shared Execution u0026 Rhythm of Business: Establish and manage the operational rhythms of the org. Monitor key initiatives track dependencies and drive execution across data science ML research engineering and infrastructure teams to enhance overall productivity and Standardization u0026 Transformation: Identify opportunities to streamline how AIML plans prioritizes and delivers complex work. Design and roll out standardized operational frameworks lightweight tooling and best practices that scale with organizational Decision Support u0026 Communication: Synthesize complex technical and operational tradeoffs into crisp executive briefs strategic narratives and actionable decision frameworks for senior Metrics u0026 Business Insights: Define and maintain metrics dashboards and reporting mechanisms that provide clear visibility into team velocity portfolio health capacity utilization and strategic milestone achievement.

5 years of business operations strategy u0026 operations program management or business/financial analysis experience within a high-tech or software engineering degree in an analytical or quantitative discipline (such as Business Finance Operations Computer Science Engineering Mathematics) or equivalent practical track record of leading complex cross-functional programs and establishing structured operating rhythms in fast-paced evolving business acumen with experience managing operational forecasting annual planning cycles or portfolio health written and verbal communication skills with proven ability to distill complex technical/operational information into clear executive-ready presentations and ability to operate with ambiguity navigate organizational dynamics and understand complex AI model building strategies by asking the appropriate probing questionsnDemonstrated soft-skills ability to build strong collaborative relationships across technical and non-technical teams.

Direct experience partnering with or supporting Machine Learning (ML) AI or Ru0026D research with data analysis querying and visualization tools (e.g. SQL Python Excel modeling Tableau) to evaluate organizational metrics and build automated supporting senior executive leadership teams (Chief of Staff or Strategy u0026 Operations office).