Manager, Business Operations

What you will build

• Operational analytics infrastructure required to scale supply chain, manufacturing, inventory management, and data center operations with uncompromising quality and speed.
• A decision-quality KPI and reporting architecture: leading indicators, dashboards, recurring reviews, and crisp narratives that operators trust.
• Closed-loop mechanisms that turn operational complexity into repeatable processes: metric definitions, data ownership, reconciliation paths, and accountability loops.
• System integration between operational data sources and finance systems so that decisions are grounded in consistent, auditable definitions.
• Automation and tooling that compounds output, including structured data pulls, workflow automation, and pragmatic use of AI tools to reduce manual work.
• Public-company-ready operating rhythms: clean close-to-insight timelines, documented definitions, and durable operating packets that scale with scrutiny.

What you will own

• Operations partnering: Work shoulder-to-shoulder with operations leadership to translate operational reality into clear priorities, tradeoffs, and actions.
• KPI standards and insight assets: Define the metrics that matter, build the dashboards and operating packets, and keep them accurate as systems and processes evolve.
• Operating cadence: Design and run weekly and monthly performance reviews, ensure decisions are made, and close the loop on follow-through.
• Process change: Identify the highest-leverage process gaps, drive redesign and adoption, and measure impact in throughput, cycle time, quality, and predictability.
• Data quality and reconciliation: Build trust in the numbers by instituting clear definitions, checks, and ownership across operational and finance systems.
• Executive communication: Deliver concise narratives that clearly separate signal from noise and drive action.

What success looks like in the first 6 to 12 months

• You earn trust. Operators proactively pull you into decisions because your work improves outcomes, not just visibility.
• You grow as an operator. You turn consulting-grade problem solving into operating judgment, cross-functional credibility, broader ownership and ultimately IMPACT.
• Durable insight assets are live (dashboards, weekly and monthly operating packets, KPI definitions) with a clear cadence and single-source-of-truth inputs.
• A small number of critical operational processes are redesigned and adopted, with measurable improvements in speed, predictability, and execution quality.
• Cross-functional decisions move faster because the organization shares consistent definitions and a clear view of tradeoffs and constraints.
• Manual reporting load declines materially as automation and self-serve assets replace ad hoc requests and one-off analyses.

What we are looking for

• 6 to 10 years of total experience is a reasonable guide. We will bias toward demonstrated impact and judgment over years.
• 2+ years at a top-tier strategy consulting firm (McKinsey, BCG, Bain, or similar), with readiness to turn generalist problem-solving into company operating impact.
• Experience driving operational change inside a scaling company. This can come from operations, strategy, analytics, or FP&A, as long as you have owned real outcomes.
• High learning velocity. You want an apprenticeship, not just a title, and you learn quickly from direct feedback while owning real outcomes.
• Strong analytical skills and comfort with imperfect data. You can go from ambiguity to a clear framework, then execute.
• High agency. You do not wait for perfect inputs or perfect direction. You move, communicate, and close loops.
• Systems thinker. You build infrastructure that continues working when the pace increases and the data gets messy.
• Technical fluency beyond spreadsheets (preferred). Comfortable with SQL, Python, or adjacent tooling to pull and shape data and automate recurring work.
• Clear executive communication. You distill complexity into concise narratives that drive decisions.
• AI affinity. You proactively apply modern tools to speed up workflows, improve quality, and reduce manual work.

Ways to stand out

• Experience in hardware, semiconductor, manufacturing, supply chain, or data center operations.
• Comfort with Python or similar tooling as evidence of your ability to be a leading creator and user of agents.
• A track record of building KPI architectures, operating cadences, and repeatable mechanisms from scratch.
• Experience partnering directly with COO, C-suite, or VP-level operational leaders.
• Demonstrated pattern of high agency: you see problems early and fix them before being asked.