How you'll demonstrate Ownership
Cogniters we are looking for: We are looking for a Sr. Manager, Services Analytics & Data Infrastructure based at Global HQ in Tempe, AZ who treats data and analytics as the operating system for a worldclass 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 decisionready 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 highimpact problems, designing analytical solutions, and shipping productiongrade tools without a product manager or engineering team. You can debug a Salesforce API integration late in the day and present scenariobased capacity models to the Chief Services Officer the next morning, always treating data as leverage to multiply the impact of delivery leaders across regions.
Data platform engineering and infrastructure
- 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, NetSuite, and finance data warehouses using Python (Pandas, NumPy) and SQL to deliver clean, reliable datasets.
- Own Azure cloud infrastructure (web app hosting, serverless functions, object storage, managed databases, CI/CD via GitHub Actions, authentication) with endtoend responsibility for reliability, security, and data quality.
- Integrate with enterprise systems through robust REST, SOQL, and SuiteQL 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 realtime visibility into capacity, utilization, project financials, pipeline, and delivery risk.
Services capacity, revenue, and margin forecasting
- 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 topdown and bottomup 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.
KPI engineering and measurement infrastructure
- Define and operationalize core KPIs for Value Delivery operations (utilization, project margins, capacity vs demand, forecast accuracy, timetovalue, 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 metricdriven decisionmaking.
Strategic analysis, automation, and crossfunctional partnership
- Conduct targeted analyses and scenario modeling on topics such as partner vs FTE tradeoffs, offering profitability, regional efficiency, and pricing optimization, turning findings into concise executiveready recommendations.
- Proactively identify repetitive workflows across Value Delivery and automate reports, data refreshes, alerts, and selfservice tools that reduce adhoc analysis and operational friction.
- Serve as the technical partner to the VP, Operations - Value Delivery and Director, Delivery Excellence, ensuring analytics directly inform delivery standards, playbooks, portfolio optimization, and partner performance management.
The Impact you bring to Cognite
You will own the endtoend analytics and data infrastructure that powers operations for Cognite's global professional services business. You are the architect, engineer, and operator of a missioncritical analytics platform used daily by Services leaders to make realtime decisions on capacity, utilization, financials, and delivery risk.
Your success will be measured by your ability to:
- Build and operate productiongrade analytics infrastructure that scales with the business while maintaining high uptime and data reliability.
- Proactively surface insights that drive executive decisions on hiring, pricing, portfolio mix, and risk.
- Eliminate manual operational work through automation, giving leadership time back for strategy and customers.
- Translate complex operational questions into analytical models, scenarios, and clear recommendations.
- Earn trust as the technical partner to nontechnical operations leaders, making data accessible and actionable.
- Datadriven operations: You transform Value Delivery from intuitionbased to insightdriven, enabling faster, better decisions on