Principal Analytics Engagement Consultant

This is a fully remote position, open to applicants in United States.

📋 Description

• Approve analytical methods for executive, state agency, MCO, auditor, and RFP deliverables.

• Develop and publish PPL analytics standards that encompass data modeling, semantic layers, metric definitions, statistical methods, documentation, and reproducibility.

• Co-develop the enterprise analytics strategy in collaboration with the VP of Analytics.

• Manage the technical roadmap for the semantic and governance layer.

• Halt unsupported deliverables, figures, or assertions.

• Act as the key technical authority on leveling and hiring for the Analytics Engagement Consultant team.

• Lead significant engagements that require executive sponsorship, have regulatory implications, or affect material P&L.

• Promote the adoption of analytics standards across Operations, Finance, Program, and Client Services.

• Collaborate with PPL Data Architects on semantic layers, canonical data models, and metric definitions.

• Present PPL analytics findings to leadership within state agencies and MCOs.

• Defend methodologies against regulatory and audit scrutiny.

• Oversee analytical sections of major RFP submissions.

• Review and approve the work produced by analytics team members.

• Mentor analytics professionals to cultivate Principal-level judgment.

• Oversee the advancement of methodology, tooling standards, and operating models alongside the VP.

• Foster a culture of analytical expertise and intellectual integrity.

• Construct the most complex models and maintain production dbt, SQL, and Python reference implementations.

⛳️ Requirements

• Over 12 years of progressive experience in analytics, data science, analytics engineering, or management consulting.

• At least 5 years at the Staff, Principal, or equivalent level.

• Established authority in defining analytical methodologies and organizational standards.

• Experience serving as the final reviewer for high-impact analyses.

• Analytical work that can endure executive, regulatory, and audit-level scrutiny.

• Extensive hands-on expertise with contact-center platforms and data, including contact-level modeling, workforce management, routing, multi-channel structures, and Erlang calculations.

• Familiarity with platforms such as Genesys, Five9, NICE, Amazon Connect, or similar.

• Enterprise-scale ownership of production dbt environments and data models.

• Advanced/senior-level proficiency in SQL.

• Working knowledge of Databricks, Azure DevOps, CI/CD, and orchestration tools.

• Python experience is advantageous.

• Ability to convert complex analyses into evidence-based narratives that influence executive decisions.

• Confidence in challenging assumptions and presenting unexpected or contrary findings.

• Experience in developing analytics professionals through mentorship, code reviews, technical guidance, and cross-functional leadership.

• A Bachelor's degree in computer science or information technology is required.

• A Master's degree in computer science or information technology is preferred.

• Experience in healthcare, Medicaid, or other regulated industries is strongly preferred.

• Familiarity with claims, eligibility, payroll, finance, or program integrity is preferred.

• Experience presenting to state agencies, MCOs, regulators, or auditors is preferred.

• Background in writing analytical content for successful RFPs is preferred.

• Consulting partner-track experience or principal-level analytics work at a mature technology company is preferred.

• Experience in establishing or significantly evolving an enterprise-scale semantic or governance layer is preferred.

🏝️ Benefits

• Equal opportunity and inclusive workplace culture.

• Company-sponsored training and education programs.