AI Lead, Alira Health
3-5 days a week in office
Patient-centric advisory firm
Job no longer available
Patient-centric advisory firm
501-1000 employees
Job no longer available
3-5 days a week in office
501-1000 employees
Company mission
To humanize healthcare and life sciences in partnership with patients.
Role
Who you are
- Master’s degree (preferred) in Computer Science, Data Science, Engineering, or related field (PhD a plus)
- 5 years of experience across data science/ML, analytics, or AI delivery, including 2+ years leading teams
- Proven experience designing and operating production data and ML systems at scale
- Experience leading Data Engineering / MLOps / ML Engineering teams
- Demonstrated experience implementing AI governance in regulated environments
- Proven cross-functional leadership with IS&T/IT, PMO, Operations, and business stakeholders
- Strong applied Generative AI and agentic workflows understanding plus practical implementation oversight
- Deep experience with software, data and AI engineering practices (solution design, infrastructure-as-a-code, CI/CD, AI observability)
- Strong experience with data platforms, distributed systems, and scalable pipelines
- Strong grasp of data and AI regulations
- Experience with cloud platforms (Azure, AWS), orchestration tools, and modern data stacks
- Executive presence and strong influence across practices and functions
- High judgment and risk awareness
- Structured, pragmatic operator focused on delivery and outcomes
- Strong coaching and enablement orientation
- Languages: English
- Masters of Science (MS): Computer and Information Science, Masters of Science (MS): Data Processing, Masters of Science (MS): Engineering
What the job involves
- The AI Lead is accountable for defining and executing Alira Health’s AI strategy and adoption roadmap across IEC and EVG, ensuring alignment with business priorities, data privacy requirements, and governance standards appropriate for regulated life sciences work
- This role leads the practical integration of AI assistants and agentic workflows into day-to-day business processes, with a specific focus on scalable operational enablement, system reliability, and end-to-end ownership of data and AI solutions
- In addition to strategy and governance, this role is responsible for the design, delivery, and operation of scalable data and AI systems, ensuring initiatives are built on robust, production-ready platforms
- The AI Lead oversees a focused team of Data and AI Engineers and is accountable for both what is built (strategy, prioritization) and how it is built and operated (architecture, engineering, and delivery)
- Define and maintain the enterprise AI roadmap and long-term development strategy based on validated requirements and feasibility assessments
- Drive structured intake, prioritization, and sequencing of AI use cases in partnership with PMO and business stakeholders
- Ensure alignment between AI initiatives and business value, data availability, and technical feasibility
- Own end-to-end architectures for AI solutions leveraging current company stack (Azure, Snowflake)
- Design and implement scalable data platforms(data ingestion, transformation, storage, serving) for AI application
- Ensure production-grade reliability, monitoring, alerting
- Define and enforce engineering standards for scalability and performance
- Lead and mentor a team of Data and AI Engineers
- Set technical direction and guide architecture decisions
- Conduct design reviews and ensure high-quality engineering practices
- Build a strong engineering culture focused on ownership and delivery
- Implement a centralized AI governance model aligned with business strategy, data security, and compliance expectations
- Ensure governance supports scalable delivery without blocking engineering velocity
- Define data governance foundations (access boundaries, confidentiality, compliance constraints)
- Ensure feasibility checks are performed (data availability, technical constraints, readiness)
- Establish standardized adoption frameworks, training programs, and guidance materials
- Ensure systems are measurable with clear KPIs on performance, reliability, and business impact
- Provide structured reporting on delivery progress, risks, and outcomes
Our take
The healthcare industry has been rapidly digitizing in recent years, and Alira Health is at the forefront of this transformation. The company works closely with healthcare and life sciences organizations, providing support across the entire solutions lifecycles. From market research to end-to-end product development, Alira Health enhances clients' expertise with a broad range of services and technology-driven consulting.
In early 2021, Alira Health strengthened its offering by acquiring Chamow and Associates, a leading biopharmaceutical consultancy. This acquisition expanded ALira's capabilities in regulatory affairs and product development, allowing the company to offer even more comprehensive support to pharmaceutical companies navigating complex processes.
With strong funding at its back, Alira Health is well-positioned for further growth. Recent legislation, which empowers patients with greater control over their data and streamlines the process for drug and medical device developers, opens new doors for innovation. This should allow Alira to explore fresh opportunities to engage patients, healthcare providers, payers, and suppliers in more meaningful ways.
Freddie
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Company benefits
- Professional Development and Continuing Education
- Global Connection and Travel
- Supported Work-Life Balance
- Access to Dynamic Clients and Projects
Company HQ
Framingham, MA
Leadership
Gabriele Brambilla
(CEO)Joined Alira Health in 2014 as CEO. Alongside this, they serve on the Board of Directors for EnlightenVue, WWoundForce, Firefly, and Computational Life. In 2018, they co-founded the MetroWest Life Sciences Network to develop collaboration, innovation and entrepreneurship in Boston's MetroWest life sciences ecosystem.
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