Senior Manager, Revenue Operations & Analytics

Parsley Health•New York, NY

2d•$145,000 - $170,000•Remote

About The Position

Parsley Health is rebuilding primary care around root-cause, whole-person medicine. Our members get board-certified clinicians, health coaches, advanced testing, and a care platform that connects the dots across all of it. We are a mostly virtual medical practice with care available across the country, and we recently expanded in-network access nationwide. As we grow, we are continuing to improve how we connect growth, care delivery, member experience, and financial performance so we can make better decisions and scale sustainably. We are hiring a Senior Manager, Revenue Operations & Analytics to help us understand and improve the full revenue engine at Parsley Health. Our revenue model extends beyond a traditional sales funnel, encompassing marketing, sales, member experience, clinician capacity, and billing/collections. This person will analyze this entire system to understand performance, identify root causes, and recommend actions. This is a senior individual contributor role requiring strong analytical and technical skills, including SQL. The role reports to Finance with a strong dotted-line to the CTO and collaborates with department leaders. This role is remote by default, with a preference for candidates in Eastern or Central time zones. NYC-based candidates may have opportunities for in-person collaboration.

Requirements

6+ years of experience across Revenue Operations, business operations, revenue strategy, analytics, business intelligence, or a related role
Experience owning cross-functional business problems rather than only producing analysis or reporting
Experience using AI tools to accelerate analysis, automation, or operational workflows
Strong SQL skills and the ability to independently investigate complex datasets
Experience with revenue forecasting, funnel analysis, operational metrics, or business performance analytics
Experience translating data into clear recommendations and driving toward a decision or resolution
Experience defining business metrics and creating consistent sources of truth across teams
Comfort working with BI tools such as Metabase, Looker, Tableau, Power BI, Mode, or similar platforms
Enough understanding of data pipelines and modern analytics infrastructure to investigate quality issues and work effectively with technical partners
Strong communication skills and comfort challenging assumptions with senior leaders
Strong judgment and curiosity, including knowing when the initial question is not the question the business actually needs answered
Comfort operating independently in a small, fast-moving company

Nice To Haves

Experience in a high-growth, venture-backed technology company
Experience in healthcare, digital health, healthcare services, or another regulated environment
Experience with revenue cycle management, healthcare billing, or EMR data
Experience with subscription, consumer, marketplace, or recurring revenue business models
Experience using Python or another analytical scripting language

Responsibilities

Own the view of our revenue engine: Connect performance across marketing, sales, member engagement, clinician capacity, visits, billing, collections, and financial results so leaders understand where revenue is growing, slowing, or leaking.
Turn analysis into action: Investigate business questions, identify root causes, recommend what should change, and follow through with the relevant teams. Sometimes the right answer will be a reporting change. Other times it may be a process, forecast, operating assumption, or business decision.
Reconcile conflicting stories: When Marketing, Sales, Clinical, MX, or Finance are seeing different versions of what is happening, dig into the underlying data and help the company get to a shared understanding.
Improve forecasting and planning: Partner with Finance and functional leaders on forecasts across revenue, membership, conversion, clinician capacity, visit volume, retention, and collections. Challenge assumptions when operational data suggests a different outcome.
Own BI and key business metrics: Maintain and improve our dashboards and recurring reporting, establish clear metric definitions and sources of truth, and change reporting processes when they are creating confusion or no longer helping the business make decisions.
Improve growth analytics: Partner closely with our SVP of Marketing and Growth Product Manager to connect acquisition, lead quality, sales conversion, activation, engagement, retention, and downstream revenue.
Connect care delivery and RCM to revenue: Help us understand how clinician capacity, utilization, visits, payer performance, billing, denials, collections, and other revenue cycle factors interact with the rest of the business, including data from our RCM and clinical systems.
Handle practical RevOps and BizOps needs: Own or triage recurring analytical and operational work such as commissions, KPI reporting, ad hoc business analysis, and other cross-functional questions that need a clear owner.
Work directly with the data: Use SQL and our BI environment to investigate questions, validate assumptions, identify data quality issues, and chase down discrepancies before they become business decisions based on bad information.