• Serve as a key bridge between digital, creative, and content processes and their automated execution using AI across the entire global Devoteam group. • Design, document, and implement AI-driven marketing workflows, fostering experimentation, and accelerating the adoption of innovative technologies. • Design, build, and optimize automated marketing workflows using low-code/no-code platforms like Make.com or n8n. • Integrate and leverage Large Language Models (LLMs) such as Gemini and Claude to automate content creation and operational processes. • Manage, synchronize, and track marketing data across core platforms, including HubSpot, Salesforce, and corporate social media channels. • Execute and support hands-on creative tasks, including digital copywriting, basic editing, and minor graphic design. • Lead continuous experimentation with emerging AI technologies, tools, and frameworks to keep marketing operations at the vanguard. • Drive "Change Adoption" by mentoring, training, and guiding internal marketing teams to integrate AI into their daily routines. • Collaborate closely with the Group’s Brand & Content Director to ensure strategic alignment, brand consistency, and high visibility of innovation initiatives. • Design and maintain data dashboards to track process efficiency, performance, and the ROI of implemented automations.

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!