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Appen

Strategic Project Lead – Healthcare

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Remote from
USA
Salary
Undisclosed
Department
Project & Program Management
Employment
Full Time
Experience
Senior
Published
Apply before
4 Nov 2026
Listing views
65
Application actions
4
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AI Summary

The role, at a glance.

Appen is seeking a Strategic Project Lead to oversee complex healthcare AI data programs from solution design through delivery. The role bridges customer objectives, clinical expertise, and global delivery operations to create reliable medical-data strategies and repeatable program methodologies. Key responsibilities include translating ambiguous stakeholder needs into clear specifications, setting data quality standards, and driving strong customer outcomes. Candidates need clinical, healthcare research, or life-sciences experience alongside demonstrated leadership of complex, multidisciplinary work. The position operates in a fast-moving global AI environment and emphasizes healthcare data governance, privacy, and responsible AI knowledge.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a cross-functional leadership role requiring both healthcare-domain credibility and the ability to deliver sophisticated AI data programs across customer and global operational teams. Ambiguous requirements, high clinical-quality expectations, and rapidly changing AI capabilities increase the role's complexity.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$135,000
US market range$110k–$165k
AI insightNo salary is disclosed in the posting. The figures are estimated US annual base-pay market ranges for a mid-to-senior healthcare-focused strategic project/program lead working in AI data delivery; actual compensation may vary by location, clinical background, scope, and bonus or equity eligibility.

Core skills

Skills and capabilities most closely associated with this opportunity.

Healthcare project managementHealthcare AIMedical data strategyClinical researchStakeholder managementProgram deliveryData quality assuranceResponsible AI governanceHealthcare data privacyCross-functional leadership
Sample interview questions
How would you turn a healthcare customer's broad AI-data objective into an executable delivery plan?

I would first clarify the intended model use case, clinical population, data modalities, quality thresholds, privacy constraints, and acceptance criteria. I would then convert those inputs into a scoped data strategy, annotation or evaluation specifications, governance checkpoints, resourcing plan, risk register, and measurable delivery milestones agreed with both the customer and internal delivery teams.

Describe how you would maintain clinical quality in a large-scale medical data annotation program.

I would establish clinically grounded guidelines, qualification criteria for contributors, calibration exercises, and a layered quality-control process that includes automated checks, peer review, expert adjudication, and ongoing error analysis. I would track agreement, defect patterns, turnaround time, and customer feedback, then use findings to refine guidelines and training.

How do you handle ambiguous or changing stakeholder requirements in a fast-paced environment?

I make ambiguity visible by documenting assumptions, decisions, open questions, and the impact of each unresolved item. I use short alignment sessions to prioritize requirements, establish a decision owner and deadline, and communicate trade-offs in scope, timeline, quality, and risk so delivery can continue without losing stakeholder confidence.

What healthcare data privacy and responsible AI issues would you assess before launching a project?

I would assess whether data contains protected or sensitive health information, confirm lawful access and permitted use, define de-identification and access-control requirements, and ensure secure handling across the delivery workflow. I would also review potential bias, representativeness, clinical safety implications, documentation needs, and escalation paths for harmful or questionable model outputs.

How would you create reusable capabilities from a successful healthcare AI program?

I would conduct a structured retrospective to identify reusable assets such as data schemas, clinical taxonomies, annotation guidelines, quality metrics, training materials, and governance templates. After validating them with delivery and clinical stakeholders, I would package these assets into documented playbooks and maintain an improvement cycle based on future project outcomes.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

About the Role

Appen’s Strategic Project Management team is central to the company’s growth strategy, partnering with leading AI companies, frontier model developers, and healthcare technology organizations to deliver the data that makes models work. As Strategic Project Lead, Healthcare, you will lead complex medical AI data programs from solution design through delivery, bridging customer objectives, clinical expertise, and Appen’s global delivery capability. This is a hands-on role with visibility across both the customer relationship and the delivery model behind it.

Your Impact

You’ll own the quality and direction of complex healthcare AI programs, translating customer objectives into medical data strategies. Your expertise will establish the standards for how data is designed, evaluated, and delivered.

Across Appen’s global delivery organization, you’ll turn those standards into repeatable approaches, methodologies, and capabilities that support future healthcare AI programs and customer opportunities.

Success in this role will create healthcare projects that meet customer and clinical standards, strong customer outcomes, and a growing healthcare data capability that Appen can apply across its portfolio.

What You Bring

  • 2+ years in clinical practice, healthcare, medical research, or life sciences, with a track record of leading complex projects or multidisciplinary teams.
  • Strong stakeholder-management skills with the ability to translate ambiguous requirements into clear specifications.
  • Comfortable working in a fast-paced, global environment where priorities and AI capabilities evolve quickly.

Nice to Have

  • Experience managing clinicians, researchers, or other specialist professional communities.
  • Familiarity with healthcare data privacy, security, and responsible AI governance.
  • Experience developing or reviewing medical datasets, annotation guidelines, clinical taxonomies, or evaluation criteria.
  • Exposure to AI companies, frontier AI labs, or healthcare technology organizations.

Why You’ll Love Working Here

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.

You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.

About Appen

Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

Compensation

Additional Information

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