Senior Vice President of Data & Infrastructure

Senior Vice President of Data & Infrastructure

As the Senior Vice President of Data & Infrastructure at Aledade, Inc., you will report directly to the CTO, Lalith Vadlamannati. This pivotal role demands exceptional technical leadership to drive high business impact across increasingly complex and ambiguous projects. You will lead by example, fostering a world-class remote engineering team based in the United States.

You will be responsible for overseeing an organization comprising 80-100 engineers. This team focuses on diverse aspects of data infrastructure, including ingestion, organization, prediction, measurement, and data exchanges.

About Aledade's Culture

Our culture thrives on solving complex problems and centers on product engineering driven by hypothesis testing to empower innovative ideas. Our daily work is guided by core values: Service, Inclusion, Accountability, Curiosity, and Evidence. We collaborate with a team of experts dedicated to improving health outcomes and reducing the cost of the American healthcare system.

Key Responsibilities

• Impact: Develop a decisive, principled build-buy-partner strategy that balances both short and long-term business impact.
• People: Cultivate outstanding teams through world-class hiring practices and by providing direct, timely, and actionable feedback to develop engineering talent.
• Execution: Establish aggressive yet clear goals and proactively remove all roadblocks to enable your team's success.
• Collaboration: Forge strong relationships and work cross-functionally with numerous partners across various organizations and functions, thereby amplifying the impact of your team’s work.
• Company: Collaborate closely with company-wide engineering leaders to instill engineering excellence in our processes and systems.

Requirements

• Bachelor's (or higher) degree in Computer Science or a related field.
• 8+ years of experience building and leading highly complex, technical engineering teams.
• 10+ years of production-level experience as an engineer, specifically in building highly scalable and reliable software.
• Proven ability to develop and deliver a multi-year vision and strategy with incremental quarterly deliverables, involving cross-functional efforts spanning multiple teams.
• Demonstrated proficiency in attracting, hiring, and coaching world-class engineers and managers.
• Demonstrated experience in taking ownership of technology decisions while effectively delegating and empowering team members.
• Excellent teamwork, communication, and project management skills.
• Ability to align with product and organization objectives, and coordinate with cross-regional teams to deliver key results.
• Experience managing an ML, Gen AI, SaaS, or data-focused platform.
• Proficiency in communicating complex analysis and establishing confidence among diverse audiences who may not share your disciplinary background or training.

Nice to have

• Working knowledge of health-tech systems, such as Electronic Health Records, Clinical data, etc.
• AI Research: Experience in designing machine learning algorithms, model training, evaluation, and benchmarking, with examples of well-conceived and well-executed long-term machine learning bets.

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

Key skills/competency

• Technical Leadership
• Data Infrastructure
• Team Management
• Strategic Planning
• Scalable Software
• Machine Learning
• Generative AI
• Cross-functional Collaboration
• Talent Development
• Healthcare Technology