MCG Health

Product Manager

• Define and execute product strategy and roadmaps aligned with company goals and customer needs
• Lead cross-functional teams (engineering, UX, clinical, marketing) through the product lifecycle, managing execution of features through Product Owners
• Conduct market research, user interviews, and competitive analysis to inform product decisions
• Track and report on product performance using data to drive continuous improvement
• Lead GTM strategy, including defining offerings, packaging, and pricing models to accelerate growth.
• Size the market opportunity for new offerings, develop monetization plans, and evaluate financial impact
• Work across marketing, sales, and partner teams to build insight into emerging market segments.
• Build clear business cases and market entry frameworks to justify product investment decisions
• Contribute to product client proposals
• Partner directly with clients and strategic accounts to develop solutions, gather feedback, and validate product-market fit
• Act as the voice of the customer throughout the product lifecycle—advocating for usability, value realization, and satisfaction
• Lead client-facing presentations and product briefings to drive adoption and engagement
• Collaborate with Customer Success and Account Management to identify upsell and cross-sell opportunities
• Ensure solutions align with healthcare regulations and compliance requirements

Analyst

• Work closely with cross-functional MCG teams to identify, document, and analyze business processes.
• Collaborate with various departments to develop cross-team processes to execute MCG business strategy.
• Lead current state process documentation and analysis initiatives, including identification of requirements, inputs, outputs, resources, and tasks.
• Analyze current business processes, workflows, and standard operating procedures to identify gaps, issues, and areas for improvement.
• Use appropriate measurement, analysis, and evaluation methods to accurately identify and document process improvements.
• Implement process improvements and new process designs to enhance efficiency, productivity, and customer satisfaction.
• Collaborate with stakeholders to design and execute process improvement initiatives aligned with organizational goals.
• Identify system and workflow infrastructure changes necessary to implement new processes.
• Identify key Stakeholders to participate in, review, and aid in process documentation, improvement, or development sessions.
• Support Manager Business Process Excellence in facilitating key project/kaizen initiatives.
• Build process diagram maps in Visio, LucidChart, and/or Draw.io; create process procedural text documents in Confluence; and occasionally develop end-user training materials in PowerPoint or Word.
• Document processes and identify issues, risks, and opportunities. Lead activities to resolve or mitigate issues. Communicate outcomes to stakeholders and, if necessary, escalate to leadership.
• Assist in the change management necessary to roll out new processes and, if needed, develop and deliver process training to internal teams.
• Communicate with shareholders and stakeholders to ensure alignment on documented processes and improvements to existing processes.
• Provide ongoing administrative support for the MCG Process Library, including enforcing governance policies and documenting process best practices.
• Assist Process Owners with setting process performance criteria and establishing regular monitoring and measurement methods.
• Identify opportunities to improve personal and team knowledge and skills, including monitoring releases of utilized software to identify new features and investigating new frameworks and methodologies related to process excellence.
• Provide stakeholders with project status updates, feedback, and appropriate reporting on key responsibilities and objectives.
• Facilitate meetings and/or projects and determine audience and tactics appropriate for a particular discussion. Adapt facilitation style to engage a variety of group settings.

Process Excellence Analyst

Account Executive

• Develop and manage execution of advanced strategies to create demand, grow pipeline and close new business and upsell sales opportunities for a territory, solution or market segment
• Proactively direct all sales activity within assigned territory of significant scope or strategic importance
• Analyze and translate market and competitive intelligence into sales strategies that anticipate trends and changing market environment
• Maintain a broad network of existing and prospective client relationships and industry partners
• Build and maintain strategic partnerships at multiple levels within the client organization
• Lead complex contract negotiations
• Meet or exceed annual revenue targets, client retention goals and client satisfaction metrics for assigned provider markets/accounts
• Appropriately deliver meaningful and constructive responses to RFP/I’s while working collaboratively with other internal resources
• Actively support the Division’s Tradeshow/Industry Event strategy and execution
• Consistently use and maintain metrics, pipelines, CRM tools, and quantitative feedback to effectively manage their business
• Develop and maintain strong relationships with the various members of the MCG teams including management, Sales Executives, Account Management, Alliance Partner, Product Management Training and Technical organizations
• Be able to constructively and positively translate broader strategic priorities into daily tasks and tactics
• With guidance from the Sales Leadership team, deploy strong segment driven sales strategies, tactics and tools that effectively identify client/prospect priorities and efficiently align the sales process accordingly.
• Be open to learning and developing new skills under the mentorship of the Sales leadership team
• Demonstrate the ability to interact and cooperate well with all division employees
• Engage constructively and appropriately with peers to achieve overall goals
• Be an adept communicator with the ability to think on their feet and effectively engage clients/prospects
• Can travel overnight at least 50%

Senior Sales Executive, Provider

Data Scientist

• Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve
• Lead and establish best practices for various research activities including data collection/annotation, literature research, experimentation, and evaluation
• Provide technical and project leadership for other Data Scientists
• Create and test novel LLM based systems
• Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques

Principal Data Scientist

AI Engineer

• Design and deploy generative AI solutions to address internal operational challenges, such as automating routine workflows, summarizing data, and generating intelligent recommendations, while balancing speed, function, and long-term scalability
• Build AI agents and automations with Agentforce (skills, actions, orchestration/guardrails) embedded in Sales/Service/CPQ workflows
• Implement Einstein Copilot/Studio solutions (prompt flows, tools, actions) grounded in Data Cloud for retrieval and personalization
• Create and secure APIs (REST/SOAP, Platform Events, Pub/Sub) to integrate CPQ, CLM, provisioning, licensing, and finance/ERP, and other systems
• Collaborate across teams to flatten data silos and streamline data access including ETL pipelines and automated workflows
• Build RAG-style patterns on Salesforce: indexing relevant objects/data in Data Cloud; implement grounding, safety, and evaluation loops
• Serve as the technical lead for strategic planning, development, and integration of AI solutions across business operations
• Partner with business leaders, both technical and non-technical, to understand requirements and translate them into AI-powered solutions.
• Harden solutions for security/compliance (data residency, PII handling, row‑level access, audit, consent
• Contribute to CI/CD (SFDX, scratch orgs, Git branching), code reviews, and release management
• Rapid prototyping of generative AI applications
• Full-stack development from proof-of-concept to front-end UI
• Evaluate, measure, and improve performance on a continuous basis
• Collaborate with business stakeholders to prioritize new use cases for development and obtain feedback on existing solutions
• Fine-tune language models and other AI capabilities to address organization-specific needs for custom use cases
• Provide leadership, mentorship, and education to teams on leveraging AI solutions to improve operational effectiveness, fostering adoption and comfort with new technologies.
• Work with data scientists and business stakeholders to rigorously evaluate various strategies of optimizing prompts
• Stay up to date on industry developments

Senior Gen AI Engineer, Salesforce Platform

Data Engineer

• Explore, analyze, and onboard data sets from data producers to ensure they are ready for processing and consumption.
• Develop and maintain scalable and efficient data pipelines for data collection, processing (quality checks, de-duplication, etc.), and integration into Data lake and Data warehouse systems.
• Optimize and monitor data pipeline performance to ensure minimal downtime.
• Implement data quality control mechanisms to maintain data set integrity.
• Collaborate with stakeholders for seamless data flow and address issues or needs for improvement.
• Manage the deployment and automation of pipelines and infrastructure using Terraform, Flyte, and Kubernetes.
• Support strategic data analysis and operational tasks as needed.
• Lead end-to-end data pipeline development — from initial data discovery and ingestion to transformation, modeling, and delivery into production-grade data platforms.
• Integrate and manage data from 3+ distinct sources, designing efficient, reusable frameworks for multi-source data processing and harmonization.

Senior Data Engineer

People Operations

• Partner with department leaders to align people strategies with business objectives, using data and insights to drive decision-making and influence outcomes.
• Champion employee engagement by identifying areas for improvement, implementing action plans, and fostering a positive, inclusive culture.
• Lead and support initiatives related to team effectiveness, change management, talent calibration, succession planning, and organizational design.
• Guide performance management, career development planning, and internal mobility efforts, ensuring top talent is nurtured and retained.
• Act as a coach and sounding board for managers and leaders on issues such as leadership, conflict resolution, employee relations, and team dynamics.
• Collaborate with centers of excellence (e.g., Talent Acquisition, DEIB, Total Rewards, Learning & Development) to deliver integrated solutions that meet business needs.
• Ensure consistent application of company policies, employment law compliance, and proactive risk management.

Senior People Business Partner

LLM Engineer

• Act as principal advisor on GenAI strategy, architecture, and governance; lead the application of existing principles and develops new approaches where needed.
• Tackle ambiguous, high-impact problems with long-term horizons; decisions affect multiple functions and strategic objectives.
• Exercise broad autonomy in determining objectives and approaches; build formal networks with key decision makers; serve as an internal spokesperson and thought leader.
• Own the multi-year GenAI strategy and roadmap for operational systems; translate strategic goals into a prioritized portfolio with clear ROI.
• Lead the design, build, and productization of agentic AI systems, progressing from assistive AI to supervised autonomous domain agents grounded on trusted data and orchestrating cross-system actions
• Architect reference patterns for RAG, agentic workflows, and copilots integrated with systems like Salesforce (CRM), Gainsight (Customer success operations), and Marketo (Marketing automation)
• Lead end-to-end execution—from problem framing and data contracts through deployment, observability, and continuous improvement—while influencing executive stakeholders and setting cross-org standards
• Establish and govern GenAI platform foundations: orchestration, evaluation harnesses, vector search, prompt/version management, A/B testing, telemetry, and quality/cost/latency guardrails.
• Define model strategy (open-source and proprietary), safety controls, PII handling, and responsible AI practices aligned to security, privacy, and regulatory requirements.
• Set engineering standards and LLMOps practices (CI/CD, canarying, rollback, red-teaming, data governance, incident response) adopted across functions.
• Partner with Sales Operations, Contracts, Finance, Licensing, Education & Support, Marketing, Account Management, and Business Systems to turn manual, error prone work into automated, reliable workflows.
• Educate and enable teams, both technical and non-technical, on leveraging AI solutions to improve operational effectiveness, fostering adoption and comfort with new technologies.
• Fine-tune language models and other AI capabilities to address organization-specific needs for custom use cases
• Create full-stack development from proof-of-concept to front-end UI
• Evaluate, measure, and improve performance on a continuous basis
• Stay up to date on industry developments