At Tend, we’re building a dental experience that’s human. Behind every great member experience is a team ensuring accuracy, efficiency, and transparency in the financial side of care. Our Revenue Cycle Management (RCM) team plays a critical role in delivering on that promise.

We’re looking for an RCM Accounts Receivable Analyst to help resolve unpaid insurance balances, analyze account discrepancies, and maintain accurate ledgers. This role focuses on ensuring timely collections, preventing revenue leakage, and supporting process improvements through strong attention to detail and collaboration with internal teams.

This is a hybrid role working on-site in Nashville a few days per month

What You’ll Do

• Follow up on outstanding insurance balances through payer portals, phone outreach, and claim status inquiries.
• Identify and resolve claim denials, underpayments, or posting errors.
• Reconcile account discrepancies and ensure accurate application of insurance and member payments.
• Document all actions and communications in the practice management system for audit and compliance purposes.
• Review member ledgers for accuracy and completeness.
• Partner with studio teams and other RCM functions to resolve claim-related issues and identify recurring trends.
• Conduct root cause analysis on recurring denials or aged claims and recommend process improvements.
• Support implementation of workflow updates that enhance efficiency and accuracy.
• Assist with audits, reporting, and special projects as needed.

Who You Are

You embody our Tend values and demonstrate key competencies that support accuracy, teamwork, and ownership. At Tend, our values guide how we hire, collaborate, and deliver care.

• Tend to Others – You deliver accurate, thorough work and follow up with payors and teammates to ensure issues are resolved with care and efficiency.
• Be Brave Enough to Lead – You take ownership of your accounts, raise questions when you see discrepancies, and communicate openly about risks or opportunities for improvement.
• Savor the Ride – You maintain a positive, professional attitude even during repetitive or challenging work, contributing to a steady, collaborative team culture.
• Embrace Our Differences – You communicate clearly and respectfully across diverse teams and stakeholders, adapting your style as needed to build trust and alignment.
• Rooted in Growth – You seek to understand the “why” behind payer rules and workflows, applying feedback to improve your skills and help the team grow.

Role-Based Competencies

• Strengthen the Team – You collaborate with peers and share information to keep processes consistent and efficient.
• Decide with Clarity – You exercise sound judgment in resolving balance issues and know when to escalate for guidance or support.
• Deliver on What Matters – You meet accuracy and productivity targets, consistently ensuring that account resolution aligns with quality and compliance standards.

What You Have

• 1+ year of experience in accounts receivable, billing, or revenue cycle management—dental experience preferred.
• Proficiency in navigating payer portals and understanding EOBs, denials, and remittance processes.
• Fundamental knowledge of insurance verification, claim submission, and payment posting workflows.
• Strong attention to detail and organizational skills.
• Basic proficiency in Excel or Google Sheets (sorting, filtering, pivot tables).
• Excellent written and verbal communication skills.
• Ability to manage competing priorities and meet deadlines in a fast-paced environment.
• Familiarity with HIPAA regulations and healthcare privacy standards.
• Ability to work a hybrid schedule onsite in Nashville, TN a few days per month

What We Offer:

We believe taking care of people starts with taking care of our own. Here’s how we’ve got you covered at Tend:

• 🩺 Health Comes First - We offer medical, dental, and vision insurance — plus a Dental Wellness Program to keep your smile as sharp as your skills.
• 💰 Plan for the Future - Our 401(k) plan, because your future matters just as much as your now.
• 💡 Support, When You Need It - Life & AD&D insurance, health advocacy, legal support, and an Employee Assistance Program (EAP) — all designed to have your back when life gets real.
• 🛍️ Smart Spending Options - We’ve got Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), and pre-tax transit/parking benefits to make your dollars go further.
• 🌴 Time to Recharge - Enjoy generous Paid Time Off (PTO) and company holidays — because rest is productive.

#LI-hybrid

About the Role

We are building a differentiated advisory practice at the intersection of AI strategy, governance, and security. As organizations move from AI experimentation to enterprise-scale deployment, they face urgent questions: How do we govern AI responsibly? How do we secure agentic architectures? How do we align technical capabilities with business strategy and regulatory requirements?

This role is designed for a technically grounded early-career professional who wants to help answer those questions alongside senior practitioners. You will work directly with the practice lead on client-facing engagements, contribute to the development of proprietary frameworks and tools, and build expertise in one of the fastest-growing areas of consulting.

This is not a traditional strategy consulting role, and it is not a pure engineering role. It sits at the intersection—you need to be comfortable reading Python, understanding how LLMs and agentic systems work, AND translating that knowledge into governance frameworks, risk assessments, and executive-ready deliverables. If you thrive at the border between technical depth and business impact, this is for you.

What You Will Do

Client Delivery (50–60%)

• Support the design and delivery of AI governance assessments for clients across industries, leveraging frameworks such as ISO/IEC 42001, NIST AI RMF, and the EU AI Act.
• Conduct technical reviews of client AI systems, architectures, and deployments to identify governance gaps, security vulnerabilities, and risk exposure.
• Develop AI risk registers, control mappings, and maturity assessments tailored to each client’s organizational context and regulatory landscape.
• Prepare client-facing deliverables including assessment reports, executive briefings, implementation roadmaps, and policy recommendations.
• Participate in workshops and stakeholder interviews with client teams ranging from data scientists to C-suite executives.

Practice Development (25–30%)

• Help build and refine the practice’s proprietary AI governance and security framework, integrating industry standards with practical implementation experience.
• Research emerging AI risks, including those specific to agentic AI systems, LLM-based applications, MCP architectures, and AI supply chains.
• Develop reusable tools, templates, and accelerators (e.g., assessment questionnaires, control libraries, risk scoring models) to scale the practice.
• Contribute to thought leadership content: draft LinkedIn posts, white papers, blog articles, and conference presentation materials.
• Monitor regulatory and standards developments (EU AI Act, state-level AI legislation, ISO/IEC updates, OWASP LLM Top 10) and maintain a current knowledge base.

Technical Contribution (15–20%)

• Build proof-of-concept tools and demos using Python to illustrate governance and security concepts for clients (e.g., prompt injection demonstrations, model evaluation dashboards, automated compliance checks).
• Evaluate and test AI platforms, tools, and vendor solutions from a governance and security perspective.
• Support the practice lead’s technical fluency development by preparing technical briefings, annotated code walkthroughs, and “translation” materials that bridge technical and executive audiences.
• Stay hands-on with AI/ML development trends: experiment with agentic frameworks (LangChain, LangGraph, CrewAI), RAG architectures, and model evaluation techniques.

What We Are Looking For

Required Qualifications

• 2–3 years of professional experience in one or more of the following areas: AI/ML engineering, data science, or cybersecurity.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Cybersecurity, Engineering, or a related field. Master’s degree is a plus but not required.
• Working proficiency in Python and comfort navigating data science tooling (Jupyter, Pandas, Scikit-learn, or equivalent).
• Foundational understanding of machine learning concepts: supervised/unsupervised learning, model training and evaluation, overfitting, bias-variance tradeoff.
• Familiarity with LLM-based applications: understanding of how large language models work (at minimum: tokenization, embeddings, attention, fine-tuning vs. RAG vs. prompt engineering).
• Strong written and verbal communication skills—you must be able to explain technical concepts to non-technical stakeholders clearly and concisely.
• Comfort working in ambiguity: this is a practice being built, not a mature team with fully defined processes. You need to be self-directed and resourceful.

Preferred Qualifications

• Exposure to AI governance or risk management frameworks (ISO/IEC 42001, NIST AI RMF, EU AI Act, OWASP LLM Top 10, MITRE ATLAS).
• Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) or understanding of agent architectures and tool-use patterns.
• Understanding of MCP (Model Context Protocol) or similar protocols for AI system integration and the security implications thereof.
• Background in cybersecurity, including familiarity with security frameworks (NIST CSF, ISO 27001) and how they intersect with AI-specific risks.
• Experience in a consulting or professional services environment, including client-facing work and deliverable development.
• Relevant certifications such as: CISA, CISSP, CCSP, AWS/Azure AI certifications, or ISO 42001 Lead Implementer/Auditor.
• Bilingual English/Spanish is a strong plus.

The Kind of Person Who Thrives in This Role

We are not looking for someone who fits neatly into a single box. The ideal candidate is a “bridger”—someone who can move fluidly between a technical deep dive and an executive conversation. Specifically:

• You’re a builder, not just an analyst. When you see a gap in a process or a tool, your instinct is to prototype something—a script, a template, a dashboard, not just write a slide about it.
• You’re curious about “why” and “so what.” You don’t just want to understand how a transformer model works; you want to understand what that means for how organizations should govern and secure it.
• You write well. A significant portion of this role involves producing written work—reports, frameworks, articles—and clarity of writing is non-negotiable.
• You’re comfortable being the least experienced person in the room. You’ll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute and the humility to learn.

What We Offer

• Accelerated growth trajectory: You’ll be building a practice from the ground up alongside senior leadership, gaining exposure and responsibility that would take years to earn in a larger, more established team.
• Investment in your learning: Budget for certifications, training programs, and conference attendance.
• Client diversity: Work across industries and with organizations at different stages of AI maturity—from Fortune 500 companies to mid-market firms navigating their first AI initiatives.

WORKING AT THE MLC

The MLC is committed to excellence, service, transparency, and diversity. Our culture is collaborative, our people are adaptable. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges.

WHO WE ARE

The Mechanical Licensing Collective (The MLC) is a nonprofit organization designated by the U.S. Copyright Office to administer blanket mechanical licenses for digital music services in the United States. Our mission is to ensure songwriters, composers, and music publishers are accurately compensated for the use of their music.

Operating at the intersection of music, data, and technology, we process billions of usage records, match them to the correct musical works, and distribute royalties with accuracy and transparency. As we continue to grow, we are building scalable data platforms and workflows that power the future of digital music licensing.

THE ROLE

As a SQL Engineer / Data Analyst, you will play a critical role in designing, building, and maintaining scalable data solutions that power usage and royalty processing, reporting, and internal analytics. You’ll work closely with Data Platform, Engineering, Finance, and Member Experience teams to ensure data integrity, accessibility, and performance across systems.

This role is ideal for someone who enjoys working with complex datasets, optimizing queries for performance, and building reliable data pipelines that directly support business-critical operations.

Preference to individuals in Eastern and Central Time Zone to accommodate for UK team member collaboration.

QUALIFICATIONS

Required

· 3+ years of experience writing complex SQL queries in a production environment

· Strong experience with relational databases (e.g., PostgreSQL, Oracle)

· Proven ability to optimize queries and improve database performance

· Experience working with large, complex datasets

· Strong problem-solving skills and attention to detail

· Ability to communicate technical concepts to non-technical stakeholders

Preferred

· Experience with cloud data platforms (AWS Athena, Metabase, or similar)

· Familiarity with ETL/ELT processes and data pipeline concepts

· Experience supporting financial, royalty, or transactional data systems

· Understanding of data modeling concepts (star schema, normalization, etc.)

ESSENTIAL RESPONSIBILITIES

AS A MEMBER OF THE TECH TEAM, YOU WILL:

· Design, develop, and maintain complex SQL queries, stored procedures, and views to support business operations and reporting

· Optimize database performance through query tuning, indexing strategies, and execution plan analysis

· Partner with Data Engineers and Analytics teams to support data pipelines and transformations across platforms (e.g., AWS Athena, Metabase, or similar)

· Support royalty processing workflows by ensuring accuracy, consistency, and timeliness of data outputs

· Collaborate with cross-functional stakeholders (Finance, Rights Management, Member Experience) to translate business requirements into scalable data solutions

· Troubleshoot data discrepancies and implement long-term fixes to improve data quality

· Contribute to data governance, documentation, and best practices across the data ecosystem

· Assist in building and maintaining reporting datasets for internal and external stakeholders

· Data quality and validation frameworks to ensure accuracy

About Truework

Truework, recently acquired by Checkr, provides access to crucial employment and income information needed for mortgage loans, apartment rentals, background checks, and more. We’re disrupting a $5B+ industry dominated by legacy incumbents and outdated processes. Within Checkr, Truework operates independently, allowing rapid iteration while leveraging the strengths and assets of the core business.

About the Role

This role sits on Checkr’s Operations Insights & Analytics team, directly supporting Truework’s operations team as its primary analytics partner. Truework’s operations are more complex than a typical help desk — and deeply understanding their processes will be central to your success in this role.

Truework already has some operations reporting and data infrastructure in place, but as the first dedicated analyst focused on this work, you’ll own the process of improving and expanding it. Some existing dashboards need to be rebuilt or consolidated, sources-of-truth established, and the team needs reliable performance & cost metrics. You’ll also contribute to the near-term migration from Looker to Omni Analytics.

The ideal candidate is someone who can context-switch between hands-on data work and strategic analysis, thrives in ambiguity, and is energized by making messy things clean. You should be someone who, when given a high-level goal, figures out what questions to ask, what data is needed, and what infrastructure would provide it — and then builds it.

What You’ll Do

Drive Analysis & Business Performance

• Build and maintain models for cost, headcount, and operational performance that inform leadership decisions across Truework operations
• Track and analyze team performance week-over-week, identifying trends, bottlenecks, and opportunities for efficiency gains
• Translate technical findings into clear recommendations for stakeholders at all levels, from operational teams to executive leadership

Build & Improve Reporting

• Define and standardize key operational metrics, working with stakeholders to ensure shared understanding of definitions and methodology
• Consolidate and rebuild existing dashboards, validating data accuracy and filling gaps in coverage
• Build production dashboards and self-service reporting in Omni Analytics, giving Truework’s operations teams reliable visibility into team performance

Strengthen Data Infrastructure

• Improve and expand existing data models to support reliable analytics across Truework’s operations
• Write and maintain dbt models, manage data pipelines, and work with raw database schemas to strengthen analytical foundations
• Identify and fix data quality issues — bad joins, missing records, misaligned definitions — before they become reporting problems
• Contribute hands-on to migrating Truework’s data infrastructure onto Checkr’s systems, working independently to navigate unknowns and solve technical problems as they arise

What You Bring

Required

• 5+ years of experience in analytics, data engineering, or a hybrid role — ideally in a high-growth or startup environment where you’ve had to build things from scratch
• Advanced SQL: complex joins, window functions, CTEs, query optimization. You should be able to navigate unfamiliar database schemas and figure out how data fits together.
• Hands-on experience with data modeling and pipeline tools (dbt, Airflow, or similar). You’ve built and maintained data models, not just queried them.
• Strong BI experience building production dashboards (Looker, Tableau, or similar). You know how to design reporting that’s actually useful, not just comprehensive.
• Comfort working in ambiguous environments with incomplete information. You don’t wait for perfectly defined requirements — you figure out what’s needed and start building.
• Strong communication skills: you can explain technical concepts to non-technical stakeholders and advocate for data quality and infrastructure investments
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Preferred

• Python for data manipulation, scripting, and statistical analysis
• Experience with data migration projects — moving data between systems, reconciling schemas, validating parity
• Domain experience in operations analytics, fintech, or verification/identity services
• Familiarity with version control (Git) and software engineering practices in an analytics context

What You Get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Unlimited PTO policy
• Monthly wellness stipend