Primary Responsibilities:
- Lead the integration of enterprise-approved AI tools into team workflows, ensuring alignment with organizational goals.
- Embed AI objectives into team check-ins, development plans, and hiring practices, leveraging our AI-persona framework.
- Identify and remove operational and organizational barriers to accelerate AI adoption across the enterprise.
- Provide strategic leadership, overseeing performance and outcomes through multiple layers of management and senior professional staff.
- Ensure compliance with employment contracts, company policies, and directives, including flexibility in work locations, team assignments, work shifts, and alternative work arrangements as required by evolving business needs.
Required Qualifications:
Education & Experience
- Bachelors degree in Computer Science, Engineering, Healthcare Informatics, or related field; Masters or MBA preferred.
- 7+ years of progressive leadership experience in enterprise technology, analytics, or automation, with at least 5 years in the healthcare sector.
- Proven track record managing large-scale AI/ML product lifecycles, MLOps, RPA operations, and cloud migration initiatives.
- Experience leading digital transformation in payer, provider, or healthcare services organizations.
Healthcare Domain Expertise
- Deep understanding of healthcare data ecosystems, including EHRs, claims, clinical data, and interoperability standards (HL7, FHIR).
- Knowledge of healthcare regulations and compliance frameworks (HIPAA, HITECH).
- Experience with population health, care management, revenue cycle, or value-based care analytics.
Technical & Strategic Expertise
- Strong grasp of AI/ML technologies, intelligent automation (RPA/IPA), and cloud platforms (AWS, Azure, GCP).
- Ability to translate healthcare business needs into scalable, high-impact technology solutions.
Leadership & Influence
- Exceptional executive presence with the ability to influence and communicate effectively with C-level stakeholders.
- Experience building and leading high-performing, diverse teams across geographies.
- Proven change management skills, with a track record of driving cultural and operational transformation.
Financial & Operational Acumen
- Experience managing P&L, achieving financial objectives, and optimizing investments.
- Skilled in portfolio management, performance tracking, and ROI analysis using data-driven decision-making.
Innovation & Industry Awareness
- Passion for innovation with a keen understanding of emerging healthcare technologies and industry trends.
- Experience fostering a culture of continuous improvement, experimentation, and agile delivery.
AI-First Leadership Skills
- Hands-on experience with MLOps, model deployment, and monitoring.
- Expertise in large language models (LLMs), generative AI, and deep learning.
- Proficient in Python and ML libraries (scikit-learn, Keras), with familiarity in AI/ML governance, ethics, and responsible AI practices.
- Familiarity with experiment tracking tools (e.g., Weights & Biases, MLflow).
Other Key Competencies
- Strong problem-solving, critical thinking, and strategic planning abilities.
- Excellent communication, negotiation, and stakeholder engagement skills.
- Ability to thrive in fast-paced, ambiguous environments with competing priorities.