Note: The job is a remote job and is open to candidates in USA. HardLoop is a fast-paced, high-growth practice management company focused on making healthcare delivery easier for clinicians and providers. The VP of Data Analytics and AI will lead the company’s data, analytics, and AI strategy, build and mentor cross-functional teams, and use advanced analytics and agentic AI to improve operational efficiency, customer outcomes, and medical provider success.
Responsibilities
- Champion a culture of data-informed, insights-driven decision making that drives business results by leading the company’s data and analytics strategy and initiatives
- Expand a cross functional team of data engineers, analysts, AI experts and subject matter experts to specialize in various domains within the company, to help lead and implement data-centric culture and tools within the organization
- Operate as a player-coach — set the strategy and then help build it, staying hands-on in the data, the code and the AI tooling alongside the team
- Lead a team of AI experts to build a set of agents to speed up operational processes while also building cutting edge AI tooling to assist in all facets of our business including provider sourcing, patient matching, clinical support, revenue cycle management automation and efficiency
- Manage the implementation and maintenance of financial and operational metrics, OKR’s, and KPI’s including data related to revenue cycle management, clinician performance, patient acquisition and retention, marketing, clinician recruiting and retention, customer service and call center operations, HR, etc
- Own data quality end to end — establish the QA standards, testing, validation and monitoring that make every metric, dashboard and model output the business relies on accurate and trusted
- Implementation and oversight of semantic modeling and associated tooling
- Own our data and analytics roadmap, managing priorities and resources aligned to business outcomes
- Exploit our existing tools, that leverage data from multiple sources (e.g. CRM, Electronic Health Record System, website database, and HR systems) in order to deliver effective insights and reports
- Manage a team that utilizes innovative tools and technologies to develop and visualize analytics and dashboards that deliver information in an intelligent and digestible manner
- Go looking for the questions no one has asked yet — proactively mining the data for insight, risk and opportunity rather than waiting on requests
- Serve as the translator between the technical and the commercial — turning complex analysis, models and tradeoffs into clear, simple narratives that any audience can act on
Skills
- 7+ years of experience working in data and analytics, data strategy, data science, AI/ML and/or business intelligence
- 4+ years of experience managing data science, data engineering, AI/ML, and/or analytics teams
- Experience with semantic modeling and associated tooling
- Experience in both traditional ML techniques as well as ‘modern' (LLM based) solutions
- Experience with Agentic AI (Langraph, N8N, Claude Code, Claude Co-work etc.)
- Demonstrated grit and entrepreneurial drive — a track record of building something from the ground up, operating without a playbook, and pushing initiatives through to a finished result
- A player-coach: senior enough to set the strategy, hands-on enough to build it yourself, and willing to do whatever the moment requires
- Experience in recruiting, hiring, mentoring and building a data science team
- Proven experience in driving initiatives and cultural change towards a data centric organization
- Top notch verbal and written communication skills
- Exceptional ability to make the complex simple — explaining technical concepts, tradeoffs and results to non-technical audiences so they can make decisions with confidence
- Extensive use of data analysis, data science, measurement, reporting and/or data warehousing to improve efficiency and effectiveness
- Strong analytical skills including the ability to analyze raw data, draw conclusions, and summarize actionable recommendations and their forecasted outcomes/implications
- A rigorous approach to QA and quality management — data validation, testing frameworks, reconciliation and governance over reporting accuracy
- Experience with visualization tools (e.g. Tableau), data warehouses (e.g. Snowflake), and ELT and sync tools (e.g. Fivetran)
- Experience with web focused analytics tools like Google analytics and CDP's (ex. Segment)
- Experience with accounting concepts including GAAP
- Entrepreneurial spirit and innovative strategic thinker
- A high level of intellectual curiosity and comfort with ambiguity — someone who asks “why” until they reach the root cause, digs into problems outside their own remit, and stays genuinely curious about new tools, techniques and where the field is heading
- Strong project management and requirements gathering skills including the ability to manage concurrent projects
- Strong collaboration, communication, presentation, and storytelling skills with all audiences
- Well connected within the industry to be able to pull in specialists and tools as needed
- Well versed on the state of the industry with a pulse on what's next
- Extreme attention to detail
- Comfort working in a remote environment
- Comfort presenting to boards/working directly with the CEO
- Salesforce experience
- Experience with EMR's
- Experience / knowledge of revenue life cycle management within healthcare
- Experience with healthcare clearing house data (ex. 270/271 and 835/837 edi calls)
Company Overview