AI Operations Strategist Jobs
AI Operations Strategist jobs are open across technology, financial services, healthcare, and consulting, from associate to director level, with specializations in AI workflow design, model governance, and cross-functional automation programs. See the openings below and apply to the ones that match your experience.
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LOCATION: Hybrid – 8 days a month in the office (see locations on the posting)
OVERVIEW
The Clinical AI Strategist (Pharmacy) is the embedded pharmacy domain authority within a Pharmacy and Health Technology (PHT) Agentic PDLC product pod that serves as the Expert Practitioner, dedicated full-time to building, validating, and continuously improving AI-enabled and agentic pharmacy solutions. Working alongside the Product and Engineering team, the Clinical AI Strategist translates pharmacist workflows, clinical decision points, drug information needs, and operational constraints into agent capabilities and logic, domain-specific quality standards, evaluation rubrics, and AI evals, and takes long-term ownership of the domain quality of those agents throughout their lifecycle.
Working across Product, Engineering, Design, Editorial, Quality, Legal, and Compliance, the Clinical AI Strategist validates hypotheses, prototypes, and working product increments against real-world pharmacy practice and helps set the quality bar for accuracy, safety, and trust. This is a product development role embedded in an AI development team, not an editorial or content-authoring role. Clinical AI Strategist input complements, but does not replace, direct customer validation, the Product Manager’s accountability for prioritization and product direction, or required QA, regulatory, and release approvals.
This role is central to shaping trustworthy, clinically intelligent AI. The Clinical AI Strategist embeds pharmacy clinical reasoning into AI architecture, guides system validation, and ensures outputs remain faithful to Wolters Kluwer’s trusted content, helping define a new standard for pharmacy and clinical decision support by drawing on expertise across patient care, medication safety, quality, and health system operations.
RESPONSIBILITIES
The Clinical AI Strategist is a dedicated member of an Agentic PDLC product pod across the full lifecycle: Strategy, Discovery, Viability, Build & Test, Launch, and Scale & Monitor. The role brings pharmacy domain expertise into every learning loop, acts as a customer proxy before early-access testing, defines what good looks like for AI outputs and agent behavior, and partners daily with engineering to develop, evaluate, and maintain agentic capabilities. Engineering enables the underlying platform, user interface, and APIs; the Clinical AI Strategist provides the domain expertise required to build and sustain the agent itself.
Success requires deep pharmacy practice knowledge, the ability to make domain judgment explicit through scenarios, rubrics, and acceptance criteria, rigorous evaluation of AI outputs, strong cross-functional collaboration, and a commitment to continuous learning as AI capabilities evolve.
The Clinical AI Strategist works closely with Product Managers, Lead Builder, Builders, Product Design, and Product Marketing, participates in weekly demos and learning loops, and provides rapid, structured domain feedback that informs requirements, backlog priorities, and go/no-go decisions.
Key Responsibilities – Clinical AI Strategy & Development
- Represent pharmacist workflows within the pod by mapping tasks, decision points, information sources, handoffs, exceptions, and operational constraints across target pharmacy practice settings, identifying opportunities to reduce friction while preserving professional judgment and human oversight.
- Validate problem statements, hypotheses, prototypes, and assumptions during Discovery and Viability, serving as a customer proxy before early access while partnering with the Product Manager and Design to engage practicing pharmacists and customers directly.
- Develop agent capabilities and logic in daily partnership with engineering, including domain reasoning, workflow steps, guardrails, and escalation paths to a pharmacist, and refine prompts and context to improve agent behavior.
- Contribute to the strategic approach and technical execution of AI architecture, prompt strategies, and clinical search and retrieval logic so that outputs stay grounded in and faithful to Wolters Kluwer’s trusted content.
- Define and maintain clinical indices and decision pathways that reflect real-world pharmacist reasoning across practice settings and therapeutic areas.
- Define pharmacy-domain quality standards and acceptance criteria for AI outputs and agent behaviors, including clinical accuracy, completeness, relevance, source traceability, handling of uncertainty, and appropriate human oversight.
- Author, maintain, and version AI evals, including evaluation scenarios, representative test cases, expected outcomes, and scoring rubrics that cover routine tasks, ambiguous inputs, edge cases, and failure modes; partner with Engineering and QA to run evaluations and assess regressions.
- Lead and contribute to validation processes, including clinical benchmarks, red-teaming protocols, safety checks, and continuous expert testing to confirm outputs are clinically faithful and meaningful.
- Review AI-generated outputs and agent interactions for domain correctness, safety, and workflow fit; document errors, unsupported conclusions, inappropriate actions, and usability gaps, and provide actionable feedback to improve agent behavior and supporting content.
- Participate in weekly demos and learning loops, translating findings into recommended changes to requirements, acceptance criteria, and evaluation coverage, with the Product Manager retaining accountability for prioritization and product direction.
- Provide documented launch-readiness assessments against agreed quality bars for accuracy, safety, and trust, and escalate unresolved domain risks before release; domain review does not replace required QA, clinical, regulatory, legal, or release approvals.
- Own the ongoing domain quality of deployed agents through Scale & Monitor by reviewing performance and customer feedback, investigating issues, and updating evals and agent logic as drug information, practice standards, and customer needs change.
- Serve as a clinical liaison between AI product pods and editorial and content operations, aligning workflows, standards, and content updates, and translating user feedback into system improvements with product, engineering, and editorial teams.
- Monitor and research regulatory frameworks and risk management strategies relevant to clinical and pharmacy AI, and apply them to quality standards and evaluation coverage.
- Maintain AI-readable pharmacy-domain context assets, including workflow maps, domain artifacts, and evaluation libraries, in the product context repository so they can be reused across pods and agents.
- Represent Wolters Kluwer externally through white papers, conference presentations, and thought leadership on trustworthy clinical AI in pharmacy.
Other Duties
- Share pharmacy-domain insights, evaluation practices, and reusable agents and skills across PHT product teams and the broader Expert Practitioner community.
- Continuously build skills in AI evaluation, prompt and context refinement, and responsible AI through Product Enablement training and coaching.
- Complete required corporate training and participate in company initiatives and performance planning activities.
QUALIFICATIONS
Education: Doctor of Pharmacy (PharmD) required with active Pharmacy license in any US state. Additional experience or training in pharmacy informatics, health technology, quality improvement, or AI evaluation preferred.
Experience:
- Minimum 10 years of pharmacy practice, with demonstrated depth in patient care and a deep understanding of pharmacist workflows, professional decision-making, medication-use processes, and pharmacy information systems, plus breadth across areas such as health system administration, medication safety, quality improvement, clinical research, education, or publishing.
- Experience translating practice needs into workflow improvements, software requirements, test scenarios, or quality criteria.
- Demonstrated ability to work daily within agile, cross-functional product and engineering teams, build trust, break down silos, and influence decisions without direct authority.
- Familiarity with evidence-based medicine and editorial workflows.
- Experience in pharmacy informatics, clinical decision support, drug information, digital health product development, user research, or AI output evaluation preferred.
- Experience with AI evaluation datasets and rubrics, prompt and context refinement, pharmacy software implementation, usability testing, or structured drug information preferred. Software engineering or model-development expertise is not required.
Other Knowledge, Skills, Abilities or Certifications:
- Certifications: Board certification (e.g., Pharmacy Informatics Specialty Certification (BCIP) preferred but not required.
- Pharmacy Domain Expertise: Deep knowledge of pharmacist tasks, workflow dependencies, professional standards, and drug information needs.
- Workflow Translation: Converts domain judgment into explicit scenarios, expected outcomes, acceptance criteria, and agent logic.
- AI Evaluation: Designs and maintains evals and scoring rubrics; assesses AI outputs for accuracy, completeness, traceability, and safety.
- Agent Development Partnership: Works hands-on with engineering to shape agent objectives, guardrails, escalation paths, and continuous improvement.
- Quality and Safety Judgment: Assesses evidence, identifies uncertainty, and communicates domain risks clearly before and after release.
- Learning Loop Collaboration: Provides rapid, structured feedback through weekly demos and iterative validation cycles.
- Responsible AI: Applies human-in-the-loop principles and keeps human accountability for clinical and product decisions.
- Adaptability: Comfortable with ambiguity and rapid iteration; pivots quickly based on feedback and evolving strategy.
- Strategic Influence: Contributes to central clinical AI strategy and influences product direction.
- Communication: Strong analytical, written, and verbal skills; explains complex domain issues clearly to product, engineering, and business audiences.
TRAVEL: Up to 20% customer offices and conferences
#LI-Hybrid
Our Interview Practices
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Compensation:
This role is eligible for Bonus.
Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.
Additional Information:
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
LOCATION: Hybrid – 8 days a month in the office (see locations on the posting)
OVERVIEW
The Clinical AI Strategist (Pharmacy) is the embedded pharmacy domain authority within a Pharmacy and Health Technology (PHT) Agentic PDLC product pod that serves as the Expert Practitioner, dedicated full-time to building, validating, and continuously improving AI-enabled and agentic pharmacy solutions. Working alongside the Product and Engineering team, the Clinical AI Strategist translates pharmacist workflows, clinical decision points, drug information needs, and operational constraints into agent capabilities and logic, domain-specific quality standards, evaluation rubrics, and AI evals, and takes long-term ownership of the domain quality of those agents throughout their lifecycle.
Working across Product, Engineering, Design, Editorial, Quality, Legal, and Compliance, the Clinical AI Strategist validates hypotheses, prototypes, and working product increments against real-world pharmacy practice and helps set the quality bar for accuracy, safety, and trust. This is a product development role embedded in an AI development team, not an editorial or content-authoring role. Clinical AI Strategist input complements, but does not replace, direct customer validation, the Product Manager’s accountability for prioritization and product direction, or required QA, regulatory, and release approvals.
This role is central to shaping trustworthy, clinically intelligent AI. The Clinical AI Strategist embeds pharmacy clinical reasoning into AI architecture, guides system validation, and ensures outputs remain faithful to Wolters Kluwer’s trusted content, helping define a new standard for pharmacy and clinical decision support by drawing on expertise across patient care, medication safety, quality, and health system operations.
RESPONSIBILITIES
The Clinical AI Strategist is a dedicated member of an Agentic PDLC product pod across the full lifecycle: Strategy, Discovery, Viability, Build & Test, Launch, and Scale & Monitor. The role brings pharmacy domain expertise into every learning loop, acts as a customer proxy before early-access testing, defines what good looks like for AI outputs and agent behavior, and partners daily with engineering to develop, evaluate, and maintain agentic capabilities. Engineering enables the underlying platform, user interface, and APIs; the Clinical AI Strategist provides the domain expertise required to build and sustain the agent itself.
Success requires deep pharmacy practice knowledge, the ability to make domain judgment explicit through scenarios, rubrics, and acceptance criteria, rigorous evaluation of AI outputs, strong cross-functional collaboration, and a commitment to continuous learning as AI capabilities evolve.
The Clinical AI Strategist works closely with Product Managers, Lead Builder, Builders, Product Design, and Product Marketing, participates in weekly demos and learning loops, and provides rapid, structured domain feedback that informs requirements, backlog priorities, and go/no-go decisions.
Key Responsibilities – Clinical AI Strategy & Development
- Represent pharmacist workflows within the pod by mapping tasks, decision points, information sources, handoffs, exceptions, and operational constraints across target pharmacy practice settings, identifying opportunities to reduce friction while preserving professional judgment and human oversight.
- Validate problem statements, hypotheses, prototypes, and assumptions during Discovery and Viability, serving as a customer proxy before early access while partnering with the Product Manager and Design to engage practicing pharmacists and customers directly.
- Develop agent capabilities and logic in daily partnership with engineering, including domain reasoning, workflow steps, guardrails, and escalation paths to a pharmacist, and refine prompts and context to improve agent behavior.
- Contribute to the strategic approach and technical execution of AI architecture, prompt strategies, and clinical search and retrieval logic so that outputs stay grounded in and faithful to Wolters Kluwer’s trusted content.
- Define and maintain clinical indices and decision pathways that reflect real-world pharmacist reasoning across practice settings and therapeutic areas.
- Define pharmacy-domain quality standards and acceptance criteria for AI outputs and agent behaviors, including clinical accuracy, completeness, relevance, source traceability, handling of uncertainty, and appropriate human oversight.
- Author, maintain, and version AI evals, including evaluation scenarios, representative test cases, expected outcomes, and scoring rubrics that cover routine tasks, ambiguous inputs, edge cases, and failure modes; partner with Engineering and QA to run evaluations and assess regressions.
- Lead and contribute to validation processes, including clinical benchmarks, red-teaming protocols, safety checks, and continuous expert testing to confirm outputs are clinically faithful and meaningful.
- Review AI-generated outputs and agent interactions for domain correctness, safety, and workflow fit; document errors, unsupported conclusions, inappropriate actions, and usability gaps, and provide actionable feedback to improve agent behavior and supporting content.
- Participate in weekly demos and learning loops, translating findings into recommended changes to requirements, acceptance criteria, and evaluation coverage, with the Product Manager retaining accountability for prioritization and product direction.
- Provide documented launch-readiness assessments against agreed quality bars for accuracy, safety, and trust, and escalate unresolved domain risks before release; domain review does not replace required QA, clinical, regulatory, legal, or release approvals.
- Own the ongoing domain quality of deployed agents through Scale & Monitor by reviewing performance and customer feedback, investigating issues, and updating evals and agent logic as drug information, practice standards, and customer needs change.
- Serve as a clinical liaison between AI product pods and editorial and content operations, aligning workflows, standards, and content updates, and translating user feedback into system improvements with product, engineering, and editorial teams.
- Monitor and research regulatory frameworks and risk management strategies relevant to clinical and pharmacy AI, and apply them to quality standards and evaluation coverage.
- Maintain AI-readable pharmacy-domain context assets, including workflow maps, domain artifacts, and evaluation libraries, in the product context repository so they can be reused across pods and agents.
- Represent Wolters Kluwer externally through white papers, conference presentations, and thought leadership on trustworthy clinical AI in pharmacy.
Other Duties
- Share pharmacy-domain insights, evaluation practices, and reusable agents and skills across PHT product teams and the broader Expert Practitioner community.
- Continuously build skills in AI evaluation, prompt and context refinement, and responsible AI through Product Enablement training and coaching.
- Complete required corporate training and participate in company initiatives and performance planning activities.
QUALIFICATIONS
Education: Doctor of Pharmacy (PharmD) required with active Pharmacy license in any US state. Additional experience or training in pharmacy informatics, health technology, quality improvement, or AI evaluation preferred.
Experience:
- Minimum 10 years of pharmacy practice, with demonstrated depth in patient care and a deep understanding of pharmacist workflows, professional decision-making, medication-use processes, and pharmacy information systems, plus breadth across areas such as health system administration, medication safety, quality improvement, clinical research, education, or publishing.
- Experience translating practice needs into workflow improvements, software requirements, test scenarios, or quality criteria.
- Demonstrated ability to work daily within agile, cross-functional product and engineering teams, build trust, break down silos, and influence decisions without direct authority.
- Familiarity with evidence-based medicine and editorial workflows.
- Experience in pharmacy informatics, clinical decision support, drug information, digital health product development, user research, or AI output evaluation preferred.
- Experience with AI evaluation datasets and rubrics, prompt and context refinement, pharmacy software implementation, usability testing, or structured drug information preferred. Software engineering or model-development expertise is not required.
Other Knowledge, Skills, Abilities or Certifications:
- Certifications: Board certification (e.g., Pharmacy Informatics Specialty Certification (BCIP) preferred but not required.
- Pharmacy Domain Expertise: Deep knowledge of pharmacist tasks, workflow dependencies, professional standards, and drug information needs.
- Workflow Translation: Converts domain judgment into explicit scenarios, expected outcomes, acceptance criteria, and agent logic.
- AI Evaluation: Designs and maintains evals and scoring rubrics; assesses AI outputs for accuracy, completeness, traceability, and safety.
- Agent Development Partnership: Works hands-on with engineering to shape agent objectives, guardrails, escalation paths, and continuous improvement.
- Quality and Safety Judgment: Assesses evidence, identifies uncertainty, and communicates domain risks clearly before and after release.
- Learning Loop Collaboration: Provides rapid, structured feedback through weekly demos and iterative validation cycles.
- Responsible AI: Applies human-in-the-loop principles and keeps human accountability for clinical and product decisions.
- Adaptability: Comfortable with ambiguity and rapid iteration; pivots quickly based on feedback and evolving strategy.
- Strategic Influence: Contributes to central clinical AI strategy and influences product direction.
- Communication: Strong analytical, written, and verbal skills; explains complex domain issues clearly to product, engineering, and business audiences.
TRAVEL: Up to 20% customer offices and conferences
#LI-Hybrid
Our Interview Practices
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Compensation:
This role is eligible for Bonus.
Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.
Additional Information:
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
AI Operations Strategist Jobs by Experience Level
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Find AI Operations Strategist JobsAI Operations Strategist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Distribution & Wholesale
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in AI operations strategist jobs.
- Experience operationalizing AI or machine learning models in a production environment
- Proficiency with workflow automation tools and LLM orchestration platforms
- Demonstrated ability to lead cross-functional AI adoption or change management programs
- Familiarity with AI governance frameworks, model monitoring, and responsible AI practices
- Bachelor's degree in computer science, data science, business, or a related field
- Project management credentials such as PMP or familiarity with agile delivery methodologies
Tips for Your AI Operations Strategist Job Search
Quantify AI workflow impact on your resume
Hiring managers for ai operations strategist roles want to see outcomes, not activities. Replace vague descriptions with measurable results: how much cycle time you cut, how many teams you enabled, or what error rate you reduced through process automation.
Align your resume to the job's AI stack
AI operations roles vary sharply by tooling. Read each job posting closely and mirror its specific platforms, whether that means LLM orchestration tools, ATS integrations, or MLOps pipelines. Generic resumes that don't reflect the employer's stack rarely advance.
Apply early to roles that fit
Migrate Mate lists ai operations strategist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings with cross-functional scope
The most competitive ai operations strategist roles sit at the intersection of engineering, product, and business teams. Filter for postings that mention stakeholder alignment, change management, or center-of-excellence work, since those signal broader influence and faster career growth.
Prepare a structured AI rollout case study
Interviewers for ai operations strategist positions consistently ask you to walk through a past deployment. Prepare a concise case study that covers the problem, the AI solution you operationalized, the change management approach, and the measurable outcome you delivered.
Negotiate scope before you negotiate compensation
Before accepting an offer, clarify which teams you'll influence and whether you have authority to enforce AI governance standards or only advise. Scope determines your leverage for future promotion cycles far more than starting title alone.
AI Operations Strategist Jobs: Frequently Asked Questions
Which companies are hiring the most ai operations strategists?
The most active employers for ai operations strategists right now are TikTok, Apple, and Didero, and the most openings are in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at large technology firms, management consulting practices, and financial institutions building enterprise AI programs.
How many ai operations strategist jobs are remote?
About 86% of ai operations strategist openings are fully remote or hybrid as of November 2026, reflecting the cross-functional, digital-first nature of the role. Sub-areas focused on AI governance, policy design, and program management tend to have the highest share of remote-eligible postings, while roles tied to on-site model deployment or lab environments are more likely to require in-person work.
How do you become an ai operations strategist?
Start by building a foundation in both data or AI concepts and business operations, since the role bridges both domains. Gain hands-on experience with AI tools, workflow automation, or analytics in any operational context, then move toward leading cross-functional projects that involve deploying or scaling AI solutions. Earning a project management credential and contributing to an AI center of excellence or governance initiative strengthens your candidacy significantly.
Can you get hired as an ai operations strategist with little experience?
Yes, especially if you can demonstrate adjacent experience in process improvement, data analytics, or AI-adjacent product roles. Employers filling junior or associate-level ai operations strategist positions often prioritize candidates who have automated a workflow, contributed to an AI pilot, or managed a cross-functional initiative, even outside a formal strategist title. Building a portfolio of concrete AI operationalization projects closes the experience gap faster than credentials alone.
What does the ai operations strategist interview process look like?
Most ai operations strategist interviews include an initial recruiter screen focused on background and role fit, followed by a hiring manager conversation covering your experience deploying or scaling AI solutions. Expect at least one structured case or take-home exercise asking you to diagnose an operational AI problem and propose a solution. Final rounds typically involve cross-functional stakeholders from engineering, product, or business leadership who assess your ability to influence without direct authority.
Where can I find and apply to ai operations strategist jobs?
You can find and apply to ai operations strategist jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your experience level and specialization, then apply directly to each listing that fits.
See All 86 AI Operations Strategist Jobs
Find roles that match your experience and apply in just a few clicks.
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