Enterprise Performance Management Consultant
Robert Half
No 3rd Parties - This is 100% remote but must sit in Charlotte, Denver, Atlanta, or Dallas.
The Process & Measurement Architect / Performance Data Analyst will support the Enterprise Performance Management (EPM) portfolio within the Operational Excellence team. This role will help design and strengthen the processes, performance measures, analytics, and problem-solving practices that enable the installation of an EPM framework across the organization.
The successful candidate will connect business processes with meaningful measures and actionable insights. They will work across functions to clarify how work gets done, define how success is measured, analyze performance, and help leaders turn findings into improvement actions, all while aligning with enterprise strategy.
Key Responsibilities
- Support the development and deployment of the Enterprise Performance Management platform and processes.
- Map and maintain process architecture, including process flows, roles, handoffs, decision points, and governance.
- Support integrated business planning by connecting objectives, plans, performance measures, and review routines.
- Partner with business leaders and subject matter experts to define, refine, and document key performance indicators (KPIs), including definitions, ownership, targets, and data sources.
- Analyze performance data to identify trends, gaps, risks, root causes, and opportunities for improvement.
- Develop clear, useful reporting and analytics that help leaders understand performance and take action.
- Facilitate structured problem-solving and translate findings into practical improvement plans.
- Establish consistent measurement and performance review practices across portfolios and functions.
- Work with data, technology, and business partners to assess data quality, clarify reporting needs, and support reliable performance insights.
- Prepare concise materials and recommendations for leadership discussions, portfolio reviews, and decision-making.
- Track improvement actions and help assess whether changes are producing the intended results.
- Contribute to change adoption by communicating processes, measures, insights, and expectations to stakeholders.
Required Qualifications and Skills
- Experience in process design, business operations, performance management, analytics, planning, or a related discipline.
- Ability to map and document business processes and identify opportunities to improve clarity, efficiency, or accountability.
- Strong analytical skills, including the ability to interpret data, identify patterns, and explain findings in a business context.
- Experience defining or managing KPIs, performance measures, targets, or reporting frameworks.
- Structured problem-solving skills, including root-cause analysis and translating analysis into actionable recommendations.
- Strong communication and facilitation skills, with the ability to work effectively across functions and levels of an organization.
- Skill in creating clear presentations, reports, process documentation, and leadership-ready materials.
- Proficiency with AI tools, spreadsheet and presentation tools; experience with business intelligence or data visualization tools is an advantage.
- Strong organization and follow-through, including the ability to manage multiple workstreams and meet deadlines.
Preferred Qualifications
- Bachelor’s degree in business, engineering, analytics, operations, or a related field, or equivalent practical experience.
- Experience supporting an enterprise performance management, business planning, or operational excellence program.
- Familiarity with integrated business planning, strategy deployment, or portfolio performance reviews.
- Experience with process architecture methods, continuous improvement, or operational excellence frameworks.
- Experience working with enterprise data platforms, dashboards, or performance management software.
- Relevant training or certification in Lean, Six Sigma, business analysis, process management, or data analytics.
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