Principal Analytics Engagement Consultant

🕒 September 29

🇺🇸 United States – Remote

💵 $162.5k - $214k / year

⏰ Full Time

🔴 Lead

💼 Consultant

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Public Partnerships | PPL

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚕️ Healthcare Insurance

🤝 B2B

Healthcare Insurance • B2B

Public Partnerships | PPL is a provider of financial management and administrative services that enable self-directed Medicaid long-term care. The company helps eligible Medicaid participants hire and manage caregivers (including family or friends), handles payroll, payments, tax and compliance paperwork, and offers online tools and support to participants, caregivers, and program administrators. PPL partners with state Medicaid agencies and managed care organizations to administer self-directed care programs across multiple states, aiming to simplify program administration and keep people in their homes.

📋 Description

• Write and publish PPL's analytics standards for data modeling, semantic layers, metric definitions, statistical methods, documentation, and reproducibility • Co-author the enterprise analytics strategy with the VP of Analytics • Own the technical roadmap for the semantic and governance layer • Lead PPL's most consequential engagements involving executive sponsorship, regulatory exposure, or material P&L impact • Partner with Data Architects to ensure semantic layers, canonical data models, and metric definitions meet regulatory quality and rigor standards • Shape executive questions, reframe flawed questions, and influence decisions when evidence disagrees with prevailing views • Defend methodology under regulatory and audit scrutiny • Review and approve analytics work produced by team members • Develop analytics professionals toward Principal-level judgment through mentorship, code review, and technical guidance • Own the evolution of methodology, tooling standards, and the operating model with the VP of Analytics • Build the hardest models and maintain production dbt, SQL, and Python reference implementations

🎯 Requirements

• 12+ years of progressive experience in analytics, data science, analytics engineering, or management consulting, including 5+ years at a Staff, Principal, or equivalent level • Production ownership of enterprise-scale dbt projects and data models relied upon by multiple teams • Authority defining analytical methodologies, organizational standards, and final review of high-impact analysis • Analytical work able to withstand executive, regulatory, and audit-level scrutiny • Hands-on expertise with contact-center data, including contact-level modeling, workforce management, routing, multi-channel structures, and Erlang calculations • Experience with Genesys, Five9, NICE, Amazon Connect, or similar platforms • Advanced SQL; fluency with Databricks and Azure DevOps or equivalent orchestration and CI/CD using dbt • Python experience beneficial/nice to have • Ability to translate complex analysis into evidence-based narratives influencing executive decisions • Ability to challenge assumptions and present unexpected or contrary findings • Experience developing analytics professionals through mentorship, code review, technical guidance, and cross-functional leadership • Strong system-driven strategic thinking • Bachelor's degree required; master's degree preferred in computer science or information technology • Healthcare, Medicaid, or other regulated-industry experience strongly preferred • Experience with claims, eligibility, payroll, finance, or program integrity preferred • Consulting partner-track experience or principal-level analytics work at a mature technology company is a differentiator • Experience establishing or substantially evolving an enterprise-scale semantic or governance layer is a standout qualification