Innovaccer

Support Engineer

• Working with business and product teams to understand product vision and requirements
• Provide timely technical support to customers during US working hours, addressing issues related to service levels, cloud infrastructure, data storage, access control, authorization etc.
• Investigate and troubleshoot problems by analyzing logs, reviewing system metrics, and tracing functional flows across multiple applications
• Create and deploy data patches when necessary to resolve customer issues quickly and effectively
• Communicate technical issues and resolutions clearly to customers, managing expectations throughout the resolution process
• Coordinate with engineering, product, DevOps, infrastructure, and security teams to resolve complex technical challenges
• Escalate critical issues appropriately & follow through to ensure timely resolution
• Participate in incident response & post-mortem activities to prevent recurring issues
• Share customer insights & feedback with product and engineering teams to drive improvements
• Monitor cloud infrastructure and services to proactively identify potential issues
• Manage and troubleshoot blob storage, SQL, and NoSQL datastores, and related data issues
• Understand and navigate the functional workflows of core applications to diagnose problems effectively
• Document technical solutions, create knowledge base articles, and contribute to internal runbooks

Artificial Intelligence

• Design and implement AI agents capable of reasoning, planning, and tool use
• Build multi step agent workflows with memory and state management
• Develop production ready RAG systems with optimized retrieval and context handling
• Fine tune and evaluate LLMs for domain specific use cases
• Implement guardrails, validation layers, and structured output controls
• Design evaluation frameworks for reliability, hallucination mitigation, and safety
• Build scalable REST APIs to expose AI capabilities
• Integrate AI agents with enterprise tools and third party systems
• Design microservices and asynchronous systems for high throughput workloads
• Optimize inference latency, reliability, and cloud cost
• Implement monitoring, logging, and observability for AI services
• Work directly with clients to understand business requirements and translate them into AI solutions
• Lead technical discovery sessions and solution workshops
• Communicate complex AI concepts clearly to non technical stakeholders
• Provide architectural recommendations and implementation roadmaps
• Support pilots, proofs of concept, and production rollouts

Forward Deployed Engineer – AI, Agents

Engineer

• Solve Customer Issues: You are the first line of defense for complex technical escalations. You will triage reported issues, reproduce them in safe environments, and often fix them yourself. Where the fixes require more work, you will translate production data into reproducible test cases, unblocking the offshore team and keeping our velocity high. You aren't just closing tickets; you are solving the root cause of customer pain.
• Ship Core Product Code: You are a builder. You will contribute to our TypeScript/Node.js backend, writing features and refactoring legacy code. You will ensure that "support" issues translate into permanent engineering fixes.
• Scale & Optimize: You own the health of the US production environment. You will optimize slow Postgres queries, manage database locking strategies, and build internal tools (like data de-identification pipelines) that allow our global team to ship faster and safer.
• Be Flexible: You will alternate between solving for high-impact customer needs, core development, and ensuring production health and quality.

Forward Deployed Engineer

Customer Success Manager

• Commercial Ownership (Renewals & Expansion) - Directly accountable for Net Revenue Retentions (NRR), renewal forecast accuracy, expansion pipeline progressions across assigned accounts, and account retention.
• Drive expansion strategy and deal orchestration, partnering with Sales where required.
• Identify, qualify, and progress expansion opportunities based on customer value realization, not feature adoption.
• Maintain a forward-looking account growth plan tied to customer business priorities.
• Executive Relationship & Value Leadership - Serve as the primary executive contact for customer leadership (VP, SVP, C-suite).
• Lead executive QBRs focused on outcomes, ROI, and strategic roadmap alignment.
• Articulate value in the language of cost efficiency, quality improvement, clinical outcomes, operational scalability.
• Ensure value realization narratives directly support renewal and expansion decisions.
• Build trust by demonstrating deep understanding of payer, provider, and healthcare operations.
• Strategic Account Management - Own the account strategy, including stakeholder mapping, success plans, and risk mitigation.
• Accountable for ensuring delivery outcomes, aligned to contractual commitments and executive expectations, including surfacing risks early and driving corrective actions through delivery teams.
• Translate customer goals into clear priorities for internal teams.
• Partner with Customer Engineering Managers (CEMs) to ensure delivery aligns to promised outcomes — without micromanaging execution.
• Proactively surface churn risk with documented mitigation plans.
• Own account health through disciplined operating rhythms including QBRs. exec touchpoints, risk reviews, and documented success plans
• Cross-Functional Leadership - Act as the executive quarterback across Product, Engineering, Analytics, and Delivery for assigned accounts.
• Influence roadmap conversations using customer insights and market context.
• Ensure tight internal alignment on commitments, value delivery, and account health.
• Insight, Analytics & Storytelling - Use data, analytics, and outcomes evidence to prove value delivered, support renewal justification, and enable expansion conversations.
• Translate complex analytics, clinical insights, and operational metrics into clear executive narratives.
• Present confidently to senior customer leadership with structured, concise recommendations.

Associate Partner – Customer Success, Healthcare

Manager

• Collect, clean, and analyze large healthcare datasets using statistical and data analysis techniques, including medical claims/encounter data, pharmacy, and patient registries.
• Take the lead to conduct descriptive and inferential statistical analyses to assess healthcare utilization patterns, treatment effectiveness, cost-effectiveness, and patient outcomes.
• Collaborate with internal team and external client to design and execute HEOR studies, ensuring alignment with research objectives and regulatory requirements.
• Develop quality measures (HEDIS, STAR, etc.) and reporting tools to support the client’s requirements
• Generate comprehensive reports, presentations, and visualizations to ensure high quality of deliverables and effectively communicate findings to decision-makers.
• Support growth of the business through the development of strong client relationships.
• Stay abreast of emerging trends, methodologies, and best practices in HEOR and healthcare data analytics, contributing to continuous improvement initiatives within the organization.
• Adhere to data privacy and regulatory guidelines, ensuring the ethical and secure handling of sensitive healthcare information.

Manager, HEOR and Quality

Data Scientist

• Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients
• Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them.
• Define technical architecture to productize Innovaccer’s machine-learning algorithms and take them to market with partnerships with different organizations
• Proven ability to break down complex business problems into machine learning problems and design solution workflows.
• Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows.
• Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle.
• Stay updated on advancements in AI/ML technologies and apply them to enhance existing systems.

Senior Data Scientist

Product Manager

• Define and own the product vision, strategy, and roadmap for Innovaccer Comet, focused on access center workflows, scheduling optimization, referral management, patient engagement, and operational efficiency.
• Lead, coach, and develop a high-performing product management team, driving execution against aggressive adoption, revenue, and customer outcome goals.
• Partner closely with engineering, design, data science, AI/ML, and clinical teams to deliver scalable, intelligent solutions that reduce friction, improve access, and enhance patient experience.
• Act as the executive product leader in key customer interactions, including sales cycles, renewals, roadmap reviews, and executive workshops, articulating product value and differentiation.
• Carry shared revenue accountability, driving measurable ARR growth, expansion, retention, and product-led adoption across the Comet portfolio.
• Build deep, trusted relationships with customers through advisory councils, design partnerships, and ongoing feedback loops—positioning Comet as a mission-critical access platform.
• Monitor market trends, competitive landscape, and evolving access challenges (e.g., provider capacity constraints, referral leakage, patient no-shows, call center efficiency) to keep Comet ahead of market needs.
• Define and track outcome-based KPIs, such as access conversion rates, scheduling efficiency, referral completion, patient engagement, and operational cost reduction.
• Inspire teams to think beyond stated requirements and deliver innovations customers cannot operate without, setting a high bar for product excellence and impact.

Sr. Director – Product Management

Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
• Ensure high data quality, integrity, and availability for downstream analytics and pharmacy workflows.
• Collaborate with data scientists, analysts, and pharmacy domain experts to understand requirements.
• Troubleshoot and optimize data models and pipelines for performance and reliability.
• Work in a cloud environment to support modern, scalable pharmacy technology infrastructure.
• Play a critical role in enabling pharmacy data flows and ensuring end-to-end software reliability.

Data Engineer, II

Account Manager

• Participate in PQS business and new product development in the pharmacy sector.
• Example: EQUIPP Copilot launch, GTM readiness and adoption.
• Manage the services delivered to assigned pharmacy clients including monthly reporting efforts, access to EQUIPP and any network processes.
• Oversee development and execution of contracts for assigned pharmacy clients and their various support networks
• Establish service levels for assigned pharmacy clients and improve engagement/embeddedness with EQUIPP performance information.
• Develop and enrich communications with other team members that will be shared with pharmacy team, including “PQS Monthly Notes” and the “EQUIPP Refresh Notice”.
• Contribute to Weekly Client Services calls for both internal and external stakeholders
• Create and support a process of goal setting for individual accounts and overall goals and targets to reach those goals on an annual basis.
• Including facilitating the process of any new work or development items identified and being the customer’s champion for the work from inception to deployment.
• Responsible for client relationship management with a select group of pharmacy clients.
• Build and maintain positive relationships with select pharmacy clients.
• Improve and expand user engagement and experience with EQUIPP performance data.
• May include travel to corporate headquarters for select clients.
• Develop tailored approaches to manage relationships based on client needs.
• Provide client specific guidance on adoption of quality improvement processes that can impact performance measurement scores.
• Provide training and resources for clients as it relates to medication-related quality measures and specifically, use of EQuIPP
• Attend Conferences and trade shows where community pharmacists are the primary audience
• Improve utilization of EQUIPP Support through current support service desk, covering PQS contract-related questions from pharmacies or general support questions from select pharmacy clients.
• Work collaboratively with all PQS staff as well as its parent companies to ensure that PQS’s mission and plans are carried out successfully
• Travel- Approximately 30% of the time will be spent out of the office

Pharmacy Account Manager

Project Manager

• Lead delivery of AI-driven programs aligned to customer contracts and strategic initiatives.
• Partner with executive stakeholders to define problem statements, success metrics, and delivery scope.
• Translate high-level AI concepts into executable plans with clear milestones, owners, and dependencies.
• Drive execution across cross-functional teams including product, engineering, data science, security, and customer success.
• Create and maintain project, release, and sprint plans; present updates to customer and internal leadership.
• Track execution using tools such as Jira, Smartsheet, and Confluence.
• Develop and maintain consulting-grade delivery artifacts including project charters, roadmaps, governance decks, and executive readouts.
• Proactively identify and manage risks related to data readiness, integration complexity, compliance, and change management.
• Prepare and publish weekly, monthly, and executive governance updates with a focus on outcomes, not activity.
• Manage resource capacity, utilization, and delivery tradeoffs across parallel initiatives.
• Lead customer and internal working sessions; document decisions and drive action items to closure.
• Partner closely with product, engineering, data science, and infrastructure teams to unblock execution.
• Own transition from pilot or build phases into production deployment and steady-state support.
• Track and report KPIs and OKRs tied to delivery health, adoption, and value realization.
• Identify and remove organizational, process, and cultural impediments to delivery.
• Serve as a trusted execution partner and advisor to customers and internal leadership.

Project Manager – AI Healthcare

Data Analyst

• Guide and mentor the team in best practices for handling the data.
• Review and provide feedback before the deliverables are shared with the customer.
• Play with and transform data.
• Work towards creating easy-to-digest analytical reports for US healthcare customers.
• Design and build workflows on the Data Activation Platform that pull data from client systems as scoped while complying with respective internal standards and industry best practices.
• Review team deliverables and ensure quality and accuracy
• Monitor and tune the configuration of workflows for high availability once deployed in production environments
• Understand Innovaccer data warehousing concepts and implement best practices.

Lead Data Analyst

Senior Data Analyst

• Hire, develop, and lead a high-caliber team of AI Forward Deployed Engineers with healthcare domain depth.
• Define the AI FDE operating model, engagement patterns, and delivery standards for healthcare customers.
• Create a culture of speed, accountability, technical excellence, and patient-impact awareness.
• Establish clear career paths, skill expectations, and performance metrics for FDEs.
• Own end-to-end success of AI deployments at healthcare customers—from discovery to production.
• Partner directly with CIOs, CMIOs, CTOs, clinical leaders, data leaders, and operations executives.
• Act as the executive escalation point for complex AI delivery, data, and adoption challenges.
• Ensure AI solutions are clinically safe, operationally usable, and embedded in real healthcare workflows.
• Provide hands-on technical leadership across agentic AI architectures applied to healthcare use cases.
• Drive adoption of modern frameworks and patterns, including: LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex Agents, Haystack, Workflow orchestration platforms such as n8n, Temporal, Prefect, Dagster, MCP (Model Context Protocol), function calling, and tool-using agents.
• Ensure AI agents are designed with strong guardrails and failure handling, human-in-the-loop workflows, explainability and auditability, healthcare-grade observability and logging.
• Translate customer-specific healthcare AI solutions into reusable Gravity platform capabilities.
• Influence the Gravity AI roadmap based on real-world healthcare deployments.
• Partner with Product, Engineering, Security, Compliance, and Privacy teams to ensure HIPAA-aligned AI deployments.
• Ensure learnings from healthcare deployments are captured and upstreamed. Outcomes, Adoption & Scale.
• Own success metrics for AI FDE engagements, including: Time-to-value for healthcare customers, Adoption and usage by clinical and operational users, Stability, reliability, and data quality, Customer satisfaction (NPS/CSAT).
• Drive repeatable AI deployment playbooks that scale across healthcare customers.
• Ensure AI delivery compounds into long-term platform value, not one-off implementations.

AI Forward Deployed Engineer – Lead

Analyst

• Analyze healthcare cost, utilization, and performance trends across payer and provider datasets.
• Develop insights to support risk contracting, value-based care initiatives, and network optimization.
• Conduct market intelligence and competitive analyses using real-world healthcare data.
• Work with large-scale healthcare datasets including claims, EHR/EMR, and other real-world evidence sources.
• Build analytical models, reports, and dashboards using advanced analytics and visualization tools.
• Partner with internal teams to support client-facing deliverables and strategic consulting engagements.
• Communicate findings clearly to both technical and non-technical stakeholders.
• Support continuous improvement by identifying opportunities for efficiency, cost reduction, and quality improvement.

Senior Healthcare Economics, Analyst

• Collect, clean, and analyze large healthcare datasets using statistical and data analysis techniques, including medical claims/encounter data, pharmacy, and patient registries.
• Conduct descriptive and inferential statistical analyses to assess healthcare utilization patterns, treatment effectiveness, cost-effectiveness, and patient outcomes.
• Collaborate with internal team and external client to design and execute HEOR studies, ensuring alignment with research objectives and regulatory requirements.
• Generate comprehensive reports, presentations, and visualizations to ensure high quality of deliverables and effectively communicate findings to decision-makers.
• Support the growth of the business through the development of strong client relationships.
• Stay abreast of emerging trends, methodologies, and best practices in HEOR and healthcare data analytics, contributing to continuous improvement initiatives within the organization.
• Adhere to data privacy and regulatory guidelines, ensuring the ethical and secure handling of sensitive healthcare information.