Komodo Health is dedicated to reducing the global burden of disease through smarter use of data. The Senior Analytics Consulting Manager will lead the delivery of high-quality analytics products, ensuring client satisfaction and driving business growth through advanced analytics solutions for healthcare organizations.
Responsibilities:
- Manage the end-to-end delivery of analytics projects (~20-30 per year), from scoping and planning to execution and delivery
- In addition, manage the end-to-end delivery of year-long, on-going, Custom deliverables (3-5 per year)
- Collaborate with cross-functional teams, including Data Science, Engineering, and Product Management, to ensure alignment on project goals and deliverables
- Serve as the primary point of contact for clients, addressing any concerns or issues that may arise during the project lifecycle
- Monitor project progress and performance, proactively identifying risks and implementing mitigation strategies as needed
- Stay abreast of industry trends and best practices in healthcare analytics, incorporating new insights and technologies into our service offerings
Requirements:
- Bachelor's or Master's (preferred) degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience
- 8-10 years of experience in healthcare analytics or related field, with a proven track record of delivering analytics solutions to clients
- Strong project management skills, with experience leading cross-functional teams and managing client relationships
- Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences
- Proficiency in data analysis tools and programming languages such as SQL, Python, or R
- Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas
- Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster
- Applies both judgment and creativity when working with AI and understands its limitations
- Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role
- Has developed or shared AI-enhanced workflows, automations, or prompts with others
- Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work
- Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design
- Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot i.e. to improve speed, clarity, or creative output
- Experience working in a consulting or professional services environment, preferably within the healthcare industry
- Experience with cloud-based analytics platforms such as AWS, Google Cloud Platform, or Azure
- Familiarity with healthcare data standards and regulations, such as HIPAA and GDPR
- Advanced analytical skills, including predictive modeling, machine learning, and data visualization