Quality, CSAT, and Project Health Analytics

• Support and maintain ACS quality and client satisfaction reporting (e.g., CSAT, project health, client experience KPIs) with clearly defined metric definitions, refresh cadence, and ownership.

• Partner with Client 360 team to capture and organize lessons learned and recurring themes to inform analytics enhancements and continuous improvement.

• Partner with PMO and Practice leaders to define clear problem statements, identify issues, track remediation plans, and confirm follow-through; escalate data integrity or delivery risk concerns through the agreed governance path.

Services Analytics, Reporting, and Operational Insights

• Partner across Services Strategy & Excellence, Services Operations, PMO, Resource Management, and AHEAD Consulting Services (ACS) Practices to define and maintain a standard metric set and dashboards (e.g., utilization, financial performance, portfolio health).

• Analyze operational and financial data (e.g., PSA, CSAT platforms, surveys, financial reports) to surface trends, risks, and improvement opportunities; provide root-cause analysis and recommended actions.

• Assist in producing leadership-ready readouts (e.g., monthly highlights, monthly performance/quality insights, QBR inputs) with concise narratives and action-oriented recommendations.

• Maintain clear documentation: metric definitions, refresh cadences, version control, and ownership; enable self-service where appropriate.

• Translate ambiguous business questions into structured problem statements, analytical approaches, and clear decision options and recommendations for ACS leaders.

Data Hygiene, Governance, and Systems Support

• Assist with monitoring PSA and related system data-quality controls (e.g., required fields, stage gates, exception reporting, and recurring audits) to ensure reporting accuracy and timeliness.

• Support testing and rollout of reporting and governance tools (configuration updates, new reports, and automation opportunities); maintain release notes and user guidance.

• Troubleshoot data and reporting issues; coordinate with technical teams to resolve defects and root causes, including clear problem statements and validation checks.

• Design and refine lightweight processes, checklists, and SOPs that improve data capture and data hygiene in PSA and related systems; pilot changes, gather feedback, and iterate to improve data quality, reporting reliability, and user adoption.

• Proactively identify recurring data or process breakdowns and recommend scalable fixes (training, templates, validations, automations) rather than recurring manual workarounds.

Cross-Functional Collaboration and Special Projects

• Own assigned workstreams and ad-hoc analysis requests end-to-end (intake, problem framing, analysis, recommendation, and action tracking); communicate status, risks, and recommended decisions.

• Contribute analytics and operational insights to cross-functional initiatives (e.g., AI/automation use cases, engagement governance improvements, capacity planning, presales scoping improvements), with an emphasis on scalable, repeatable solutions.

• Perform other duties consistent with the role, as assigned.

• Map current-state delivery and data processes to identify bottlenecks and failure points; propose pragmatic, stepwise improvements that balance control, effort, and user experience.