At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team, you will lead the development of innovative AI solutions tailored for health systems. As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to drive project success and operational excellence while fostering productive teams that tackle complex healthcare challenges. Responsibilities - Lead the creation of innovative AI solutions for healthcare systems - Serve as a trusted advisor, utilizing knowledge to enhance project outcomes - Foster collaboration within dynamic teams to address complex challenges - Drive operational excellence through creative problem-solving approaches - Cultivate relationships with stakeholders to promote alignment on project goals - Guide teams in navigating ambiguity and delivering impactful results - Promote a culture of continuous improvement and professional development - Uphold adherence to industry standards and practices in AI implementation What You Must Have - Bachelor's Degree - At least 8 years of experience What Sets You Apart - Demonstrated experience delivering production AI or GenAI use cases in a health system environment - Hands-on experience building RAG pipelines or agentic AI workflows against clinical data sources - Experience with MLOps platforms and model governance practices in regulated, PHI-handling environments - Ability to translate clinical and revenue cycle workflows into structured AI use case requirements - Familiarity with Azure OpenAI Service, AWS Bedrock, or Google Vertex AI in a HIPAA-compliant deployment context - Understanding of population health program design and how AI accelerates outcomes - Proven record of success managing healthcare AI and GenAI solutions - Experience in analytical techniques applied to healthcare use cases - Experience working with data warehouse technology including Snowflake or Databricks The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Hybrid #BI-Hybrid

• Own and drive the strategy and execution of AI-powered Health Data Products portfolio. • Define and own the global product strategy and roadmap for AI-powered Health Data Products. • Lead, develop, and grow a team of product managers, fostering a culture of ownership, collaboration, and continuous improvement. • Engage with executive stakeholders across clinical, commercial, and technical functions. • Champion a data-driven approach to product decision-making, OKRs, and KPIs. • Engage directly with healthcare customers and internal stakeholders to understand workflows, pain points, and opportunities for AI-driven improvement. • Ensure each product is supported by a business case. • Oversee cross-portfolio dependencies and integration points.

Role Description The AI GTM Manager is responsible for building and leading Seeq’s AI-enabled go-to-market workflow capability. This role is a player-coach role: it combines hands-on work designing and deploying AI GTM workflows with leadership of a small team to scale the function over time. This leader will help Seeq move from isolated AI experiments to a durable, governed, high-value operating capability that improves the speed, quality, and repeatability of go-to-market execution. The role sits at the intersection of marketing, operations, systems, and applied AI, and partners closely with various teams. - Lead Seeq’s AI GTM Workflow Strategy - Define the roadmap for AI-enabled GTM workflows across priority marketing and commercial motions. - Identify the highest-value use cases where AI can improve speed, quality, consistency, reuse, and operating leverage. - Prioritize shared workflows that can serve multiple teams before investing in narrow one-off solutions. - Translate GTM priorities into a practical AI workflow portfolio spanning research, content assembly, launch planning, campaign development, management, and QA, asset reuse, enablement support, and reporting. - Help shape the long-term AI-first operating model for Marketing and Industry & Product GTM. - Operate as a Hands-On Builder - Personally design, build, test, and deploy high-priority AI workflows, especially in the early stages of the function. - Act as the senior practitioner for prompt design, retrieval patterns, workflow orchestration, content structuring, automation logic, and quality controls. - Build repeatable systems that improve GTM execution across messaging, launches, campaigns, field support, and knowledge access. - Work directly in the tools, systems, and content environments needed to make workflows durable and useful in real work. - Set the quality bar for workflow usability, reliability, and business impact through direct hands-on contribution. - Manage and Develop a Small Team - Lead, coach, and develop a small team of AI GTM Engineers as the function scales. - Set clear goals, operating rhythms, development priorities, and standards for workflow design and delivery. - Balance direct personal contribution with effective delegation so the team scales without losing speed or quality. - Help team members strengthen both technical workflow skills and business understanding of GTM use cases. - Build a healthy player/coach culture that values practical execution, cross-functional partnership, reuse, and measurable results. - Partner Across the GTM System - Work closely with various teams to identify workflow bottlenecks and high-leverage opportunities. - Partner with the Manager, Marketing Analytics and Infrastructure to align AI workflows with data, tooling, governance, workflow automation, and reporting systems. - Collaborate with Campaign Program Management and GTM leaders to improve planning quality, coordination, and execution visibility. - Serve as a translator between technical possibilities and GTM execution realities. - Help functional leaders embed AI workflows into real operating motions rather than treating them as side experiments. - Build Governance, Standards, and Reuse - Define standards for workflow documentation, prompt design, approved content usage, QA, testing, and change management. - Build safeguards into workflows so outputs are accurate, on-message, and aligned to business rules and approved content. - Ensure Seeq’s GTM knowledge, narratives, proof points, and assets are increasingly structured for reuse by both humans and AI systems. - Create reusable patterns and templates that make future workflow development faster and more consistent. - Help establish an AI operating discipline that balances experimentation with scale, governance, and quality. - Measure Adoption and Business Impact - Define and track success metrics for workflow adoption, throughput improvement, quality improvement, and time saved. - Monitor where workflows are creating real leverage versus where refinement or simplification is needed. - Partner with analytics and operations teams to improve visibility into workflow performance and business outcomes. - Use data and stakeholder feedback to continuously improve workflow design and prioritization. - Demonstrate clear business value from AI investments in GTM execution. Qualifications - 7+ years of experience in marketing operations, revenue operations, GTM systems, automation, applied AI, solutions engineering, or a related role in a B2B SaaS or similarly complex environment. - Strong proven experience working as an AI GTM Engineer or in a highly comparable hands-on workflow-building role. - Demonstrated success designing and deploying AI-enabled workflows that improved business processes, GTM execution, or team productivity. - Experience translating ambiguous business problems into practical systems, workflows, and operating solutions. - Experience with prompt engineering, workflow orchestration, structured content, automation logic, and tool integration. - Strong people leadership potential or experience, including the ability to manage, coach, and develop a small team. - Strong written and verbal communication skills, including the ability to explain systems, tradeoffs, and workflow designs clearly to non-technical stakeholders. - Strong execution discipline, including testing, documentation, prioritization, and continuous improvement. Requirements - Experience supporting product marketing, launches, campaign execution, field enablement, ABX, partner marketing, or related GTM functions. - Familiarity with CRM, marketing automation, content systems, knowledge platforms, and collaboration tools used in GTM organizations. - Experience with retrieval-based workflows, agent frameworks, API-based automation, or no-code / low-code orchestration tools. - Experience building governance models for AI workflows, approved content systems, or structured GTM knowledge. - Experience in industrial software, enterprise SaaS, analytics, or AI-adjacent domains. Benefits - Competitive salary: $160,000 - 12-week paid Seeq family leave - Unlimited PTO - Internet and mobile phone reimbursements - Medical benefits - Group term life insurance - Short-term and long-term disability insurance pre-tax benefits - Voluntary vision and dental (ortho) - Vacation bonus program - Employee Assistance Program - Generous home office allowance - Pet-friendly workspace - You love your job!

Requisition Number: 2349417 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Lead the architecture, design, and delivery of production grade AI/ML and Generative AI solutions within the OQGA platform, including classification, forecasting, NLP, deep learning, and LLM powered applications that improve platform efficiency, automation, and engineering productivity - Design and implement scalable batch and API based data pipelines within OQGA, working with large healthcare and quality related datasets; develop high quality, well tested Java, Python (pandas, NumPy), and SQL code aligned to enterprise standards - Build and deploy LLM based capabilities including prompt engineering, fine tuning, Retrieval Augmented Generation (RAG), vector indexing, evaluation frameworks, and safety/guardrails, ensuring solutions are secure, auditable, and production ready - Establish and drive LLMOps and DevOps best practices for OQGA, including CI/CD for AI and platform services, model and prompt versioning, experiment tracking, monitoring, drift detection, A/B testing, and cost and performance optimization - Partner closely with senior engineers, architects, and engineering leadership to define technical strategy, system design, and implementation approaches for AI enabled and core OQGA platform capabilities - Translate business and platform requirements into robust AI and system architectures, recommending alternative technical approaches to balance accuracy, scalability, cost, compliance, and time to market - Collaborate with Product, QA, and Operations teams on requirements definition, solution design, estimation, and delivery planning, ensuring alignment with OQGA priorities and Agile practices - Ensure operational excellence by building, deploying, monitoring, and operating highly available OQGA services across DEV, TEST, UAT/UATP, STAGE, and PROD environments, including incident leadership, RCA, and continuous improvement - Set and enforce engineering standards and best practices for code quality, documentation, testing, security, and responsible AI development, delivering high quality solutions under tight timelines while mentoring and guiding engineers across the OQGA team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree with 10+ years, Master's with 8+ years, or PhD with minimum 3+ years of progressively responsible experience in AI/ML, applied data science, or advanced software engineering roles, including ownership of production systems - 8+ years of hands on experience with Python, including strong proficiency with modern AI/ML libraries and a demonstrated ability to write production quality, secure, and maintainable code - 6+ years of experience with Java, including building and operating enterprise grade services using frameworks such as Spring / Spring Boot, with a strong understanding of performance, reliability, and scalability - Experience working with vector databases and LLM orchestration frameworks such as LangChain, LangGraph, or LlamaIndex - Hands on experience delivering production grade machine learning, deep learning, and Generative AI solutions in complex, regulated environments - Familiarity with the Hugging Face ecosystem, including model selection, fine tuning, inference optimization, and performance tuning techniques - Proven solid fundamentals in machine learning, statistics, probability, and experimental design, with the ability to apply these concepts to real world, enterprise scale problems - Proven expertise with large language models (LLMs), embeddings, Retrieval Augmented Generation (RAG) architectures, fine tuning strategies, and model evaluation frameworks - Demonstrated experience designing, building, and operating scalable, cloud native AI systems on Azure, including deployment automation and cost optimization - Proven solid software engineering practices, including Git based version control, CI/CD pipelines, peer code reviews, testing strategies, and secure development standards - Proven ability to influence technical direction, set engineering standards, mentor engineers, and collaborate effectively across engineering, product, QA, and operations teams *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.