Project description

This role involves managing IT projects within a healthcare environment, ensuring timely delivery, compliance, and stakeholder alignment. The candidate will lead cross-functional teams, coordinate with onshore clients, and manage multiple tasks simultaneously. Strong communication, organizational skills, and familiarity with project management tools and IT infrastructure are essential.

Responsibilities

Lead and manage IT projects from initiation to closure, ensuring adherence to timelines and quality standards.

Collaborate with cross-functional teams and stakeholders to achieve project objectives.

Communicate effectively with onshore clients and maintain strong client relationships.

Ensure compliance with IT infrastructure standards and SDLC processes.

Handle multiple tasks and prioritize effectively in a fast-paced environment.

Maintain a strong focus on customer service and teamwork.

Own and drive the product roadmap for healthcare technology products, including data, analytics, and AI capabilities

Define requirements for dashboards, KPIs, analytics, and AI-enabled solutions

Ensure solutions meet healthcare regulatory, compliance, responsible AI, and patient safety requirements.

Skills

Must have

5+ years in technology product or platform product roles

Demonstrated experience delivering healthcare technology products

Direct exposure to healthcare data, analytics, or AI enabled solutions

Experience operating in regulated environments (HIPAA, PHI, healthcare compliance)

Proven ability to lead complex healthcare initiatives through ambiguity and change

Strong understanding of healthcare operations and workflows, including payer, provider, and care management contexts

Familiarity with healthcare domains such as:

Utilization Management (UM)

Care Management / Case Management

Prior Authorization

Ability to translate clinical and operational workflows into scalable technology solutions

Deep appreciation for regulatory, compliance, and patient safety considerations in product decisions

Outcome driven product mindset grounded in healthcare realities and AI /data first thinking

Ability to identify where data, analytics, and AI improve healthcare outcomes or reduce administrative burden

Roadmap ownership integrating:

Core healthcare capabilities

Data and interoperability foundations

Analytics and AI enablement

Prioritization informed by clinical impact, operational value, feasibility, and risk

Strong problem framing focused on insight generation, automation, and scale

Working understanding of:

Healthcare data domains (member, provider, clinical, authorization, outcomes)

Data flows across payer, provider, and partner systems

Ability to partner with data engineering, analytics, and AI teams to:

Enable reliable healthcare analytics and reporting

Support decision making through insights and AI assisted summarization

Experience defining requirements for:

Operational and clinical dashboards

KPIs tied to quality, efficiency, cost, and experience

AI enabled analytics (summarization, prioritization, decision support)

Awareness of data quality, lineage, interoperability, and adoption challenges in healthcare

Understanding of AI use cases relevant to healthcare:

Clinical and operational summarization

Decision support (human in the loop)

Workflow automation and prioritization

Ability to balance innovation with:

Responsible AI practices

Explainability and auditability

Regulatory and ethical considerations

Experience guiding AI from pilot ? production ? scaled adoption in healthcare settings

Knowledge of modern architectures supporting healthcare data and AI:

APIs, microservices, cloud platforms

Data platforms, interoperability layers, and integration patterns

Ability to evaluate build vs buy vs reuse with healthcare constraints in mind

Comfort navigating legacy systems, technical debt, and complex integrations common in healthcare ecosystems

Agile / SAFe execution with emphasis on progress, readiness, and adoption

Strong dependency and risk management across:

Product teams

Data pipelines

Analytics and AI platforms

Release planning that includes:

Data readiness and validation

Analytics accuracy

AI model monitoring and compliance checks

Trusted partner to business, clinical, and operations leaders

Clear articulation of tradeoffs, risks, and value realization

Nice to have

Other

Languages

English: C2 Proficient

Seniority

Senior

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