Sr. Manager, Analytics & Operations Engineering - Value Delivery

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low‑code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

Cogniters we are looking for:
We are looking for a Sr. Manager, Analytics & Operations Engineering based at Global HQ in Tempe, AZ who treats data and analytics as the operating system for a world‑class professional services organization—not an IT project. You are an entrepreneurial technical leader who builds data platforms from the ground up, turning enterprise data into decision‑ready intelligence for capacity planning, financial forecasting, and strategic execution across a global Value Delivery organization.

You are deeply technical in Python and cloud engineering, fluent in services operations (utilization, margin, capacity, revenue recognition), and comfortable independently identifying high‑impact problems, designing analytical solutions, and shipping production‑grade tools without a product manager or engineering team. You can debug a Salesforce API integration late in the day and present scenario‑based capacity models to the Chief Services Officer the next morning, always treating data as leverage to multiply the impact of delivery leaders across regions.

• Own the Value Delivery analytics platform: internal dashboards, automated reports, and data pipelines serving leaders across regions, Finance, and executive teams.
• Build and maintain automated data pipelines from Salesforce, Net Suite, and finance data warehouses using Python (Pandas, Num Py) and SQL to deliver clean, reliable datasets.
• Own Azure cloud infrastructure (web app hosting, serverless functions, object storage, managed databases, CI/CD via Git Hub Actions, authentication) with end‑to‑end responsibility for reliability, security, and data quality.
• Integrate with enterprise systems through robust REST, SOQL, and Suite
  
  QL APIs, aligning on data models and definitions with Sales Ops, Finance, and IT.
• Design and build interactive dashboards using Streamlit or similar frameworks that provide real‑time visibility into capacity, utilization, project financials, pipeline, and delivery risk.

• Own global capacity forecasting, modeling demand (pipeline, backlog, strategic bets) against resource supply by role, level, and region, and translate outputs into hiring plans, contractor usage, and delivery commitments.
• Support budgeting and reforecasting by performing top‑down and bottom‑up revenue and margin analysis for the Value Delivery P&L, validating Finance projections against operational data.
• Build financial models that quantify the impact of pricing changes, delivery model shifts, partner mix, and bench strategy, highlighting margin risks and opportunities across the portfolio.

• Define and operationalize core KPIs for Value Delivery operations (utilization, project margins, capacity vs demand, forecast accuracy, time‑to‑value, timecard compliance, partner contribution) and maintain a global dashboard for executives.
• Where data is missing, create the tools and processes to capture it and move the organization from anecdote to metric‑driven decision‑making.

• Conduct targeted analyses and scenario modeling on topics such as partner vs FTE trade‑offs, offering profitability, regional efficiency, and pricing optimization, turning findings into…