Datavant

Artificial Intelligence

• Own the design and operation of Datavant's AI agent hosting and orchestration platform
• Lead agent lifecycle management: versioning, deployment, monitoring
• Own the MCP server architecture connecting AI agents to enterprise systems
• Build and maintain the internal developer experience for AI SDKs and documentation
• Establish a multi-layered AI governance framework

VP, AI Enablement – Agent Platform

Software Engineer

• Define and own the architectural vision for Datavant’s enterprise business platform domain
• Establish clear system boundaries, integration patterns, and governance standards across dozens of applications
• Prevent platform fragmentation and over-customization, particularly within Salesforce and financial systems
• Define integration architecture strategy, including middleware, API management, and event-driven patterns
• Own the engineering architecture supporting billing, revenue recognition, contract management, and financial reporting
• Modernize financial system patterns to support growth, complex pricing models, and compliance requirements
• Partner closely with Finance leadership to ensure systems are scalable, audit-ready, and operationally resilient
• Own engineering strategy and architectural governance for Salesforce and related CRM systems
• Drive consolidation of multiple environments and establish strong data standards and change control
• Ensure secure, reliable data flow across financial, CRM, and operational systems
• Lead and develop directors and managers across financial systems, CRM, middleware, and automation

VP, Enterprise Engineering and Business Platforms

Vice President

• Own the long-term enterprise data architecture, including the evolution of the company's data lake, cloud data warehouse, and clinical compute environments
• Drive and enforce a compute-agnostic platform strategy—where data lives in governed storage and multiple engines can query it without creating siloed copies
• Establish and mature dataset contracts, schema governance, and versioning standards that enable domain teams to evolve independently without breaking downstream consumers
• Make and communicate architecture decisions across catalog, ingestion, transformation, and compute
• Own data platform cost governance, ensuring infrastructure spend is transparent, attributable, and aligned with business value
• Establish formal data governance at enterprise scale, including ownership models, access controls, lineage, data quality standards, and compliance frameworks appropriate to healthcare (HIPAA, SOC 2, FedRAMP readiness)
• Own the metadata and governance layer, ensuring it is well-adopted across the organization, aligned with the broader catalog strategy, and portable rather than locked to a single vendor
• Drive data quality as an engineering discipline, embedding checks, monitoring, and accountability into platform and domain workflows.
• Ensure data access, permissioning, and change management processes are scalable and do not become bottlenecks to engineering velocity
• Own the AI/ML infrastructure layer, model training environments, compute provisioning (CPU/GPU), model deployment and serving frameworks, and MLOps tooling
• Ensure the data platform is AI-ready: well-cataloged, semantically rich, and accessible to data science and ML engineering teams across the organization
• Partner with business units and product teams to enable AI-driven workflows and analytics products by providing reliable, governed data foundations and scalable compute infrastructure
• Lead and develop the data engineering organization, spanning data platform infrastructure, clinical data engineering, data integration, ML platform, and data operations
• Assess organizational structure and talent against the demands of the platform at scale, making changes where necessary to ensure the right people are in the right roles
• Build a culture of architectural ownership, engineering rigor, and operational accountability
• Represent data platform and AI infrastructure strategy at the executive level, shaping investment priorities and contributing to enterprise technology strategy
• Partner with recruiting to attract and retain senior technical talent in a competitive market.

VP Data, ML Platforms

Customer Support

• Handle supervisory responsibilities including:
• Hiring entry-level customer service employees.
• Training new employees in the company’s customer experience policies, procedures, and best practices.
• Organizing and overseeing the schedules and work of assigned staff.
• Conducting regular occurring 1 on 1s and conducting performance evaluations that are timely and constructive.
• Handling discipline and termination of employees as needed and in accordance with company policy.
• Manage a team of assigned customer experience representatives and ensure they comply with company guidelines particularly related to quality of service.
• Provide customer service by handling customer escalated calls, answering complex product issue questions, resolving issues, and educating customers.
• Strategize and monitor the daily activities of customer service operations.
• Assist customer experience representatives with duties where required.
• Ensure that representatives are informed about changes to company products and services.
• Collect data and prepare reports on customer complaints and inquiries.
• Manage customer call backs to respond to feedback.
• Prepare monthly reports summarizing the assigned customer experience team’s performance.
• Prepare knowledge-based documents such as summaries and responses to frequently asked questions.
• Identify opportunities to update or improve customer service procedures and make recommendations to leadership or other appropriate staff.
• Perform other related duties as assigned.

Supervisor II – Customer Experience

Attorney

• Lead the transformation of how legal and insurance organizations access, understand, and act on health data.
• Build and scale products that leverage Datavant’s health data network and AI-powered insights to unlock faster, smarter decision-making across the legal and insurance ecosystem.
• Develop and lead a high-performing, AI-native product organization that accelerates innovation and delivers the next generation of data-driven workflows for the industry.
• Define the long-term product vision and strategy for the Legal & Insurance enterprise product portfolio.
• Identify opportunities to leverage Datavant’s health data connectivity network to create differentiated products, data capabilities, and insights.
• Translate customer needs, market dynamics, and technological innovation into a clear and compelling roadmap.
• Own product outcomes including customer adoption, product performance, and long-term market differentiation.
• Lead and develop a team of product managers responsible for key areas of the Legal & Insurance product portfolio.
• Partner closely with engineering, data science, operations, and design to deliver complex product initiatives.
• Identify and deliver opportunities to embed AI-driven insights and automation into customer workflows.

Director, Product Management, Legal & Insurance

Operations

• The Health Information Operations Supervisor is responsible for client/customer service and serves as a knowledge expert for the HIS staff.
• The role focuses on front line People management and training, as well as ensuring processes are completed in compliance with established guidelines.
• This role may also assist leadership with planning, developing, and implementing departmental or regional projects.
• This role provides support to Health Information Operations Manager.
• The Health Information Operations Supervisor will be responsible for maintaining workflow and productivity of HIS's as well as Handling escalated situations and driving a positive work environment.
• The Health Information Operations Supervisor will also assist in the new hire process, meeting with clients, and developing staff at multiple sites.

Health Information Operations Supervisor

Business Operations

• Serve as the primary owner and architect of a platform such as Monday.com for the Life Sciences business, supporting project delivery, time tracking, resourcing, and capacity planning across multiple sub-business units
• Lead the migration and consolidation of legacy tools into Monday, simplifying workflows and eliminating redundant systems
• Design scalable system architecture that supports current operations and future growth, balancing flexibility with standardization
• Partner with Operations and Finance to build dashboards and reporting that provide visibility into utilization, delivery health, forward-looking capacity, and project-level performance
• Translate evolving business processes into clear, intuitive system workflows that reduce friction and administrative burden for operators.
• Design and oversee integrations between Monday and other core systems (e.g., CRM, collaboration tools, BI platforms), partnering with Enterprise Applications and IT to ensure governance alignment
• Establish a structured intake and prioritization process for system enhancements, maintaining a forward-looking roadmap for the Life Sciences tooling ecosystem
• Enforce data integrity, access controls, and enterprise security standards within Life Sciences-owned systems

Business Systems Manager, Life Sciences

• Lead the development and execution of product marketing strategy across the vertical
• Own the overarching product narrative and messaging framework
• Set the strategy for product launches and go-to-market plans
• Create battlecards, talk tracks, competitive briefs, and onboarding programs
• Develop high-impact content, including white papers and case studies
• Collaborate with Growth & Demand Gen for product marketing campaigns
• Own insights into market trends and competitor positioning

Director, Product Marketing – Legal & Insurance

• Lead and grow multiple engineering teams
• Drive engineering excellence and organizational maturity
• Scale engineering capabilities by building reusable systems and frameworks
• Collaborate closely with Product, Design, Implementation, and Digital Operations
• Foster a culture of technical excellence, mentorship, and purpose-driven leadership

Senior Manager – Provider Engineering

Manager

• Lead the implementation of tokenization solutions for clinical trials
• Develop project roadmaps, timelines, and key deliverables
• Act as liaison between internal teams and external life sciences sponsors
• Work with account teams to implement training and measurement plans
• Educate sponsors on tokenization strategies
• Standardize training programs and best practices
• Track and communicate progress to leadership and sponsors

Trials Delivery Manager, Life Sciences

• Review HIH files to confirm completion and accuracy.
• Identify errors that could trigger inaccurate chart requests and flag issues for correction to reduce operational waste.
• Track recurring error types and share findings with department leadership for process improvement.
• Maintain clear documentation of review outcomes, error trends, and required adjustments.
• Partner with internal teams to clarify file requirements and update review criteria as business needs change.
• Assist in root cause analysis when large scale or repeated file issues surface.
• Monitor vendor performance related to file quality and escalate concerns when thresholds are not met.
• Support training efforts by providing real examples of common errors and recommended fixes.
• Contribute to reporting on accuracy rates, trends, and the impact of QA review on downstream retrieval performance.
• Support the review of internal client-related support requests and provide timely responses via Datavant’s support ticketing system within defined SLA expectations.
• Ensure that submitted tickets for inventory disposition changes are accurate and correctly reflect the work done.
• Review documentation quality of notes included with disposition tickets to ensure they are accurate and represent the work done.

Vendor Support Specialist

General Counsel

• Support Privacy-by-Design strategy for new products and solutions.
• Support cybersecurity incident response activities for the Privacy team.
• Partner closely with the security team in the development and delivery of tabletop exercises.
• Facilitate data mapping and data governance across the enterprise.
• Conduct Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), and artificial intelligence reviews.
• Build and maintain collaborative partnerships across all Datavant teams.
• Participate in compliance, data use, and other governance initiatives and committees.
• Represent Datavant as a privacy and data governance subject matter expert.

Associate General Counsel, Privacy

Medical Billing and Coding

• Review medical records and assign accurate codes for diagnoses and procedures.
• Assign and sequence codes accurately based on medical record documentation.
• Assign the appropriate discharge disposition.
• Abstract and enter the coded data for hospital statistical and reporting requirements.
• Communicate documentation improvement opportunities and coding issues to appropriate personnel for follow up and resolution.
• Maintain a 95% coding accuracy rate and a 95% accuracy rate for APC assignment and meet site-designated productivity standards.
• Be responsible for tracking continuing education credits to maintain professional credentials.
• Attend Datavant Health sponsored education meetings/in-services.
• Demonstrate initiative and judgment in the performance of job responsibilities.
• Communicate with co-workers, management, and hospital staff regarding clinical and reimbursement issues.
• Function in a professional, efficient, and positive manner.
• Adhere to the American Health Information Management Association’s code of ethics.
• Be customer-service focused and exhibit professionalism, flexibility, dependability, and a desire to learn.
• Handle a high complexity of work function and decision-making.
• Possess strong organizational and teamwork skills.
• Comply with all HIM Division Policies.

Outpatient Coder – Claim Edits and Denials

• Lead end-to-end investigation of reported HIPAA incidents, determining scope, impact, and required remediation steps
• Follow, refine, and maintain standardized investigation protocols to ensure consistent, thorough incident response
• Track incidents from identification through resolution, maintaining comprehensive documentation
• Analyze patterns across incidents to identify systemic issues and opportunities for process improvement
• Conduct root cause analysis for privacy incidents and implement corrective action plans
• Develop, document, and maintain privacy-related standard operating procedures and policies as needed
• Identify and recommend technology and process improvements to prevent recurring incidents
• Establish metrics to measure the effectiveness of privacy controls and remediation efforts
• Draft clear incident notifications to affected healthcare organizations, and prepare correspondence for impacted individuals and regulatory bodies as needed
• Prepare comprehensive incident summaries and root cause analyses
• Document privacy decisions and rationales to support compliance requirements
• Collaborate to develop privacy educational materials to improve privacy awareness and compliance enterprise-wide
• Partner with operations, customer service, legal, and security/IT teams to address privacy concerns
• Provide timely, accurate guidance on information release in accordance with regulations
• Stay current on evolving privacy requirements and industry best practices
• Recommend targeted mitigation and corrective action based on identified gaps
• Participate in privacy-focused professional development opportunities
• Contribute to the development of privacy training materials and awareness campaigns

Privacy Analyst

• Develop dashboards, models, and tools to understand product, operational and client performance
• Work closely and partner with Product Managers, Operators and Engineers
• Identify opportunities to track critical data, uncover insights and execute the overall analytics roadmap
• Lead a central BI&Delivery team that modernizes our analytics operations
• Accountability for transformation and outcomes of business-aligned Point-of-Delivery team
• Lead and Drive definition of KPIs to meet company goals
• Identify, structure, and define data sets from various sources
• Develop and maintain the curated source of truth for analytics and reporting
• Develop processes to manage data model changes
• Establish data quality metrics/monitoring
• Engage stakeholders to drive consensus and adoption of analytics-driven strategies
• Perform complex analytics that cuts across multiple areas