# HardLoop - VP Data Analytics and AI JD Capture

- Original JD posting: https://www.linkedin.com/jobs/view/vp-data-analytics-and-ai-at-hardloop-4453801378
- Canonical provider/job ID: LinkedIn 4453801378
- Generation time: 2026-09-16 05:49 PM EDT
- Posting time: LinkedIn public capture says "Posted 10:13:33 PM"; date/timezone not reliable in the guest page.
- Elapsed time since posting: unavailable from public capture.
- Company: HardLoop
- Title: VP Data Analytics and AI
- Work model/location: remote evidence in role-specific JD; LinkedIn header location United States; JD requires comfort working in a remote environment.
- Compensation: not disclosed.
- Travel: not disclosed.
- Applicants: Over 200 applicants on LinkedIn public page.
- Positioning track: Executive leader / player-coach technical executive
- Fit outcome: PASS (86%)

## Evidence Map

| JD requirement | Keith evidence | Score |
| --- | --- | --- |
| Lead data, analytics, and AI strategy | IDW AI platform leadership, TriMark data strategy, MassMutual AI governance, AWS AI/ML specialist leadership | 3/3 |
| Build and mentor AI/data teams | 11-engineer IDW team, 7-member SuccessKPI team, TriMark data team expansion, AWS communities | 3/3 |
| Hands-on player-coach in data/code/AI tooling | Personally built AssistX core platform, DLA initial system, AWS data/AI architecture, production deployments | 3/3 |
| Agentic AI and LLM solutions | AssistX AI agents, RAG, LangChain/LangGraph, LLM APIs, evaluation, orchestration | 3/3 |
| Data quality, governance, validation | MassMutual privacy/AI governance, model transparency/bias/drift, TriMark MDM/data lake | 3/3 |
| Analytics/KPI/operational metrics | TriMark 50+ use cases/KPIs, data lake reporting improvement, SuccessKPI forecasting/analytics | 2/3 |
| Healthcare/EMR/RCM context | HIPAA-regulated software, dental health technology, life sciences, healthcare data governance; RCM/clearinghouse direct evidence limited | 2/3 |
| Semantic modeling/tooling, Tableau, Snowflake, Fivetran, Segment | Adjacent data platform/analytics evidence; Snowflake appears in source skills, but direct Tableau/Fivetran/Segment proof limited | 1/2 |
| Executive/board/CEO communication | CEO reporting at NorthBay, C-suite/AWS advisory, executive stakeholder leadership | 3/3 |

## Fit Summary

- Outcome: PASS
- Score: 86%
- Positioning track: Executive leader / player-coach technical executive
- Direct-match strengths:
  - Direct AI/data leadership: founded and led Intelligent DataWorks, built AssistX, and directed an 11-engineer AI team.
  - Agentic AI match: production GenAI assistant platform with LLMs, AI agents, RAG, LangChain/LangGraph, evaluation, governance, and workflow automation.
  - Data/platform match: TriMark enterprise data lake across 11 ERPs, MassMutual data/privacy/AI governance, and AWS Big Data/AI advisory across 200+ customers.
  - Player-coach evidence: hands-on architecture, coding, cloud deployment, and operations while managing teams.
  - Healthcare-adjacent evidence: HIPAA-regulated software, dental/health technology, life-sciences software, and healthcare data/governance context.
- Hard or material gaps:
  - HardLoop asks for Tableau, Fivetran, Segment, and GAAP; Keith has stronger adjacent evidence in analytics platforms, data pipelines, CRM, and executive metrics than direct named-tool proof.
  - Revenue-cycle management and clearinghouse EDI are nice-to-have rather than required; Keith has healthcare/life-science and regulated software context but not a direct RCM operating role in the source materials.
  - Applicant count is high: LinkedIn public page displays over 200 applicants.

## Full Normalized JD

### About Us

- HardLoop is a fast-paced, high-growth practice management company on a mission to make great care easy to deliver.
- For over 15 years the company has operated back-office machinery for healthcare providers at national scale, including scheduling, call center, billing and collections, revenue cycle management, technology, compliance, and clinician recruiting.

### About the Role

- Drive strategic and operational data-driven decisions for a digital healthcare company.
- Automate crucial operational processes with agentic AI.
- Lead an AI team focused on customer outcomes and medical provider success.
- Operate as a player-coach: set strategy while staying hands-on in data, models, and tooling.
- Drive strategy and development of key data initiatives for a client's rapidly growing online mental health services business and operations.

### Responsibilities

- Champion a data-informed, insights-driven culture that drives business results.
- Expand a cross-functional team of data engineers, analysts, AI experts, and subject-matter experts.
- Lead a team of AI experts to build agents that speed operational processes and support provider sourcing, patient matching, clinical support, revenue cycle management automation, and efficiency.
- Manage implementation and maintenance of financial and operational metrics, OKRs, and KPIs across revenue cycle, clinician performance, patient acquisition and retention, marketing, recruiting, customer service, call center operations, and HR.
- Own data quality end to end through QA standards, testing, validation, and monitoring.
- Implement and oversee semantic modeling and associated tooling.
- Own the data and analytics roadmap, priorities, and resources aligned to business outcomes.
- Use data from CRM, Electronic Health Record systems, website database, and HR systems to deliver insights and reports.
- Manage a team that develops and visualizes analytics and dashboards.
- Translate complex analysis, models, and tradeoffs into clear narratives for any audience.

### Qualifications

- 7+ years in data and analytics, data strategy, data science, AI/ML, and/or business intelligence.
- 4+ years managing data science, data engineering, AI/ML, and/or analytics teams.
- Experience with semantic modeling and associated tooling.
- Experience in traditional ML and modern LLM-based solutions.
- Experience with Agentic AI such as LangGraph, n8n, Claude Code, or Claude co-work.
- Track record of building from the ground up, operating without a playbook, and finishing initiatives.
- Player-coach profile: strategic and hands-on.
- Experience recruiting, hiring, mentoring, and building a data science team.
- Experience driving cultural change toward a data-centric organization.
- Top verbal and written communication skills and ability to make complex topics simple.
- Extensive data analysis, data science, measurement, reporting, and/or data warehousing to improve efficiency and effectiveness.
- Rigorous QA and quality management for data validation, testing frameworks, reconciliation, and governance over reporting accuracy.
- Experience with visualization tools such as Tableau, data warehouses such as Snowflake, and ELT/sync tools such as Fivetran.
- Experience with web analytics tools such as Google Analytics and CDPs such as Segment.
- Experience with accounting concepts including GAAP.
- Comfort working in a remote environment.
- Comfort presenting to boards and working directly with the CEO.

### Nice to Have

- Salesforce experience.
- Experience with EMRs.
- Experience or knowledge of revenue lifecycle management within healthcare.
- Experience with healthcare clearinghouse data such as 270/271 and 835/837 EDI calls.

## Artifact Metadata

- Resume PDF: generated after PASS gate.
- Cover letter PDF: generated after PASS gate.