Datavant

Technical Program Manager

• Partner with Corporate Initiatives and internal teams to define integration strategy during due diligence and post-close phases
• Translate business objectives into technical integration roadmaps
• Develop detailed program plans, milestones, risks, and dependencies
• Support technical due diligence activities assessing targets for alignment of technologies, services, compliance, scalability, and technical debt
• Identify integration complexity, risks, and cost estimates
• Act as the central point of coordination across executives, engineering teams, and business stakeholders
• Provide clear status updates, dashboards, and executive-level reporting
• Facilitate decision-making across competing priorities
• Lead large-scale, cross-functional integration programs across applications, IT, security, and data teams
• Drive execution of system integrations
• Ensure alignment across multiple workstreams and stakeholders
• Proactively identify integration risks (technical, operational, security)
• Drive mitigation strategies and escalation when needed
• Manage trade-offs between speed, cost, and technical quality
• Build and refine M&A integration playbooks, frameworks, and best practices
• Standardize onboarding and integration processes for repeatability

Director, Technical Program Manager

Director

• Oversee and manage a portfolio of digital clients & program managers, ensuring successful strategy development, forecasting, implementation, onboarding, and sustained product adoption.
• Serve as an escalation point for complex delivery, client, and execution challenges, intervening directly when needed to drive resolution and outcomes.
• Act as a trusted advisor to client executives, clearly articulating the value of Datavant’s digital products and aligning capabilities to client needs and strategic objectives.
• Lead, coach, and develop a team of Digital Program Managers responsible for end-to-end delivery across Datavant’s digital products.
• Create clarity, discipline, and accountability across the team, setting clear expectations and driving consistent execution.
• Actively support team velocity and performance by identifying resource needs, removing blockers, and championing innovation and continuous improvement.
• Design, refine, and scale program management processes, playbooks, and tools to improve efficiency, quality, and predictability.
• Leverage tools such as Asana, IDSB, Sigma, Snowflake, and related systems to ensure accurate, timely, and actionable data for teams and stakeholders.
• Apply Lean Six Sigma and similar methodologies to reduce waste, standardize workflows, and continuously raise the bar as the team further scales.
• Collaborate closely with Product, Engineering, Client Success, BI, Sales, and other Operations partners to align priorities, remove execution barriers, and ensure delivery success.
• Provide structured, actionable feedback to Product teams based on client outcomes and frontline insights to inform roadmap decisions and future iterations.
• Identify opportunities to better serve clients through new features, use cases, automation, and self-service capabilities.
• Contribute materially to departmental KPIs and broader business objectives, including digital expansion, retention, adoption, and forecast accuracy.
• Apply strong financial acumen to forecasting, performance tracking, and proactive intervention to mitigate risk to program outcomes.
• Balance strategic leadership with hands-on execution, personally leading high-impact initiatives and complex problem-solving efforts when required.

Director, Digital Programs

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
• Build a scalable platform model that can absorb new business domains and acquisitions
• 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
• Ensure revenue-critical systems operate with appropriate reliability, controls, and incident management
• 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 CRM remains a customer relationship platform — not a substitute for an ERP or an operational catch-all
• Govern vendor and implementation partners to reduce architectural drift and technical debt
• Establish middleware as a first-class platform capability with defined ownership and architectural standards
• Clarify integration ownership and reduce reliance on contractors for core capabilities
• Define durable API and event-driven integration patterns across enterprise systems
• Ensure secure, reliable data flow across financial, CRM, and operational systems
• Govern enterprise automation capabilities including managed file transfer, RPA, and AI-enabled workflow initiatives
• Ensure emerging AI-driven systems (including contact center automation) are architecturally integrated and aligned with enterprise standards
• Prevent fragmented automation point solutions across teams
• Align automation initiatives to measurable business outcomes and operational resilience
• Consolidate and harden customer-facing authentication and authorization into a unified, secure platform
• Improve reliability and reduce support burden related to login and access flows
• Ensure identity infrastructure scales with growth and meets healthcare compliance requirements
• Lead and develop directors and managers across financial systems, CRM, middleware, and automation
• Assess organizational structure and talent against long-term platform demands
• Build engineering depth to reduce vendor dependency in strategic areas
• Establish a culture of architectural ownership, operational discipline, and cross-domain collaboration
• Manage significant vendor and contractor relationships with clear accountability and transition planning
• Partner with recruiting to build senior enterprise platform engineering capacity globally.

VP Enterprise Engineering – Business Platforms

Data Analyst

• Deliver high-quality work on defined problems, growing in your independence and analytics capabilities and supporting key stakeholders by:
• Gather Business Requirements
• Understand Datavant’s business, products and data stores
• Gather requirements from clients around data analysis
• Work with the customer success managers (CSMs) to review and validate the data analysis requirements
• Perform data manipulation and analysis
• Identify the best sources of primary or secondary data to satisfy business requirements
• Work with cross-functional teams (analytics, data integrations, engineering) to collect and transform data
• Review active project metrics with CSMs to determine if forecasted outcomes are in alignment with expectations
• Communicate Insights
• Use business intelligence tools to create reports and visualizations that communicate results of data analysis
• Combine data from multiple sources and business logic to create standard and custom output reports for delivery
• Present and explain analytical problems, approaches, results, and recommendations
• Improve Processes
• Use preliminary analyses to revise report methodologies, when necessary, and analyze end results
• Develop and implement scripts to automate analyses to solve data problems
• Oversee the implementation of approved process improvements
• Demonstrate Initiative and Focus
• Demonstrate ability to adapt in a rapidly changing environment with evolving product capabilities
• Have a high degree of initiative and customer service focus
• Be a results-oriented team player

Risk Adjustment Data Analyst

Data Scientist

• Play a key role in the success of our products by developing models for document understanding tasks.
• Perform error analysis, data cleaning, and other related tasks to improve models.
• Collaborate with your team by making recommendations for the development roadmap of a capability.
• Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
• Understand product use-cases and define key performance metrics for models according to business requirements.
• Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).

Senior Data Scientist, NLP

Customer Support

• Maintain a positive, empathetic, and professional attitude toward customers at all times, even in high-stress or escalated situations.
• Respond promptly to customer inquiries in a high call volume, fast-paced environment with minimal supervision.
• Interact with customers via telephone, email, and online chat to answer complex product-related questions, resolve advanced issues, and provide in-depth education on Record Hub processes.
• Independently investigate and resolve complex product and service complaints, including those requiring cross-functional coordination.
• Identify trends in customer issues and recommend improvements to workflows, tools, or knowledge resources.
• Serve as a point of escalation for Level I representatives and provide informal guidance or peer support as needed.
• Ensure appropriate actions are taken to fully resolve customer problems and concerns, following through to completion.
• Accurately maintain customer accounts and detailed records of interactions, inquiries, and resolutions.
• Make outbound telephone and email contacts to customers to provide education, proactive updates, and issue resolution.
• Communicate and coordinate effectively with colleagues, specialists, and internal partners to resolve customer needs.
• Provide actionable feedback on the efficiency and effectiveness of customer service processes.
• Participate in training, onboarding, or knowledge-sharing initiatives as requested.
• Perform other related duties as assigned

Customer Experience Rep II

Financial Planning and Analysis

• Partner with the Director, Payer FP&A on the annual strategic planning and budgeting process, collaborating with finance and operations on the annual plan.
• Monthly forecasting and financial modeling to provide accurate and timely financial insights to support business planning and decision-making.
• Own annual SG&A budgeting, monthly reporting and forecasting and variance analysis. Partner with Payer leadership to support the achievement of vertical SG&A goals.
• Preparation of comprehensive financial reports, including monthly, quarterly and annual financial statements and KPI.
• Trend identification, variance analysis and identifying risk and opportunities throughout each monthly forecasting cycle.
• Collaborating with Payer finance and operations on KPI and executive reporting for cost optimization initiatives.
• Evaluation of product and technology business cases, developing analysis including sensitivity testing to validate assumptions.
• Driving change management for automation-enabled transformation of systems and processes.
• Ad hoc requests as needed to drive timely decision making under short deadlines.

FP&A Manager, Payer

Full-stack Engineer

• Define and lead multi-team technical strategies for scalability and interoperability.
• Design frameworks and reusable systems used across multiple engineering pods. Define engineering patterns adopted across Datavant.
• Drive cross-functional initiatives in data architecture, security, and reliability.
• Advise leadership on technical direction and major tradeoffs. Represent engineering in executive technical decisions and planning.
• Mentor senior engineers and influence cultural and architectural evolution.

Staff Software Engineer

Attorney

• Lead the transformation of how legal and insurance organizations access, understand, and act on health data.
• Build and scale AI 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.
• Own product outcomes including customer adoption, product performance, and long-term market differentiation.

Director, Product Management – Legal & Insurance

• Own the Workforce Planning Function: Establish and lead the strategic workforce planning discipline for the Provider Business Unit, enabling Datavant to anticipate operational needs and scale effectively. Define the long-term workforce strategy, balancing demand forecasts, staffing capacity, productivity, and cost efficiency. Serve as the primary architect for workforce planning processes and governance, driving alignment between operational performance, financial planning, and business objectives.
• Manage the WFM Solutions Suite: Collaborate with the Business Intelligence Team to develop and improve the WFM Solutions Suite, including demand forecasting, capacity planning, and scheduling, in order to optimize staffing across onsite, remote, and global personnel. Convene SMEs to improve forecasting methodologies, account for seasonal and cyclical business variations, and incorporate other factors that impact volume and capacity forecasts into the model.
• Analyze and Communicate Trends: Regularly analyze and communicate capacity and productivity trends and performance metrics, providing actionable capacity insights and recommendations to Provider BU leadership. Partner with the corporate finance team to determine the actual and projected impact of labor productivity and efficiency programs. Create and deliver presentations for monthly and quarterly senior leadership meetings and strategic committees.

Workforce Planning Director

Engineer

• Design, build, and operate an engineering-first vulnerability management capability
• Build and maintain automation and data pipelines
• Develop self-service, engineer-facing dashboards and workflows
• Partner closely with product and engineering teams to assess vulnerability risk
• Embed high-confidence vulnerability signals into existing engineering workflows
• Drive vulnerability risk reduction by validating that remediation or compensating controls meaningfully reduce exposure
• Translate compliance control intent into scalable engineering implementations
• Serve as a technical subject matter expert during assessments
• Lead and execute technical projects to advance vulnerability management

Senior Vulnerability & Exposure Management Engineer

Analyst

• Manage routine client configurations and non-complex updates.
• Support onboarding and integration for new clients.
• Collaborate with internal teams to ensure configuration changes align with workflow requirements.
• Reduces configuration errors and minimizes rework.
• Maintains system reliability through standardized procedures.
• Define and execute configuration specifications for new and existing customers.
• Collaborate with Sales, Client Success, and Implementation teams to ensure a streamlined onboarding process.
• Help create, document, and maintain configuration processes and templates.
• Communicate key insights and findings to Operations, Product, and Client Success teams.
• Work with Client Success and Support teams to effectively communicate any configuration updates.
• Participate in meetings regularly with managers and cross-functional teams to assess issues and identify improvements.
• Troubleshoot and resolve configuration issues.
• Provide technical support to clients and internal teams for configuration-related issues or challenges.
• Provide regular reports on configuration progress, issues, and resolutions to management and Client Success team.
• Identify and implement improvements to configurations to enhance efficiency and reduce errors.
• Collaborate with Product team to suggest enhancements or new features based on configuration challenges.
• Configuration Success Rate – The percentage of configurations that are successfully deployed and meet client expectations on the first attempt.
• Support Response Time – Average time taken to respond and resolve configuration-related support requests.
• Customer Satisfaction – Satisfaction ratings from clients regarding the quality and timeliness of configuration updates.
• Documentation Quality – Percentage of configurations documented fully and kept up to date.

Applications Onboarding, Configuration Analyst

• Own architectural design and end-to-end delivery for key systems or migrations.
• Partner with Product, Infrastructure, and Security teams to set technical direction.
• Design scalable microservices and guide system decomposition initiatives.
• Drive performance optimization, observability, and reliability improvements.
• Mentor engineers at multiple levels and enhance team culture through best practices.

Senior Software Engineer

Product Manager

• Own the Lead-to-Contract experience end-to-end
• Partner with Enterprise Engineering, MDM, RevOps, Finance, Legal, and Sales
• Define target-state workflows and data model in Salesforce
• Shape upstream decisions for downstream domains
• Manage the Lead-to-Contract backlog
• Ensure integration of CLM templates into Salesforce
• Ship with clear requirements and success metrics
• Drive adoption through training and feedback loops
• Own domain governance for change requests and release coordination
• Communicate effectively across teams

Product Manager, Back Office – Lead to Contract

Consultant

• Review medical records and assign precise codes to ensure accurate coding aligned with client needs (CPT, ICD-10-CM, ICD-10 procedures, ICD-10-CM and ICD-10 PCS, HCPCS).
• Conduct data quality reviews of records to assess compliance with official coding and documentation guidelines.
• Communicate professionally with co-workers, management, and hospital staff regarding clinical and reimbursement issues.
• Demonstrate strong written and verbal communication skills.
• Identify documentation improvement opportunities and coding issues.
• Use VPN access to ensure productive and flexible task completion.
• Uphold Datavant and HIM Division policies, promoting a culture of compliance and operational efficiency.
• Track continuing education credits, maintaining a high standard of professional expertise.
• Attend mandatory sponsored in-service and educational meetings, ensuring alignment with industry best practices for continual improvement.
• Adhere to the American Health Information Management Association's code of ethics, upholding professional standards and integrity.