Director, Analytics and Data Science
Remote
Applications have closed
Kaia Health
Kaia Health helps large employers and health plans tackle musculoskeletal (MSK) conditions. ✓ ROI guarantee ✓ No straps or hardware ✓ Bill via medical claims
Kaia is a mission-focused health technology company.
Our story began in 2016, when our founders, Konstantin Mehl and Manuel Thurner, created a mission to bring affordable and accessible relief to millions of people with chronic conditions. No strangers to chronic pain themselves, they decided to innovate ways to remove the obstacles many people experience in getting the leading-edge care they need.
How do Kaia apps work? Kaia uses a dynamic AI-powered algorithm. Our programs are based on multimodal rehabilitation, a holistic approach to managing chronic conditions. Our users have easy access via smartphone and tablet to our programs for back/hip/knee pain and COPD using this evidence-based approach.
Five years into our story, we are a leader in digital therapeutics, with 500,000+ users worldwide. Having raised $125 million from investors like Optum Ventures, idInvest, and Balderton Capital, to name a selected few, we are poised to create a global footprint in digital self-care. Kaia is patient empowerment made easy.
The regulatory landscape is quickly adapting to the digital ecosystem. Therefore, our mission and strategy bring new opportunities for determined talent to join our journey. With over 100 “Kaianeers” spread across the US and Europe, we now need more specialized talent to help take our mission further.
This role is open to candidates based in New York, Munich, or remote anywhere in the contiguous US or in Europe between GMT-1 and GMT+2. The role reports to the CTO.
About the role: We are looking for a skilled and passionate leader to steer our Analytics and Data Science team. As the Director, Analytics and Data Science at Kaia Health, you will be responsible for the success of our Product Analytics, Business Analytics, and Analytics Platform teams. You will work closely with stakeholders from throughout the organization to prioritize all data efforts at Kaia. The Analytics and Data Science team is rapidly growing and expanding in scope; you will oversee this growth and ensure the team scales effectively.
You can directly influence the future of digital health in a team of industry experts and digital shapers.
You will work alongside serial entrepreneurs (previously founded and scaled another startup, Foodora).
You’ll enjoy flat hierarchies, a hybrid work from home/office environment, and flexible vacation and working times.
We support your professional development and have a budget set aside for you just for that!
Happy hours, team events, and knowledge-sharing sessions galore!
Join us if you’re looking for an entrepreneurial adventure and an exciting place to grow personally and professionally.
Our story began in 2016, when our founders, Konstantin Mehl and Manuel Thurner, created a mission to bring affordable and accessible relief to millions of people with chronic conditions. No strangers to chronic pain themselves, they decided to innovate ways to remove the obstacles many people experience in getting the leading-edge care they need.
How do Kaia apps work? Kaia uses a dynamic AI-powered algorithm. Our programs are based on multimodal rehabilitation, a holistic approach to managing chronic conditions. Our users have easy access via smartphone and tablet to our programs for back/hip/knee pain and COPD using this evidence-based approach.
Five years into our story, we are a leader in digital therapeutics, with 500,000+ users worldwide. Having raised $125 million from investors like Optum Ventures, idInvest, and Balderton Capital, to name a selected few, we are poised to create a global footprint in digital self-care. Kaia is patient empowerment made easy.
The regulatory landscape is quickly adapting to the digital ecosystem. Therefore, our mission and strategy bring new opportunities for determined talent to join our journey. With over 100 “Kaianeers” spread across the US and Europe, we now need more specialized talent to help take our mission further.
This role is open to candidates based in New York, Munich, or remote anywhere in the contiguous US or in Europe between GMT-1 and GMT+2. The role reports to the CTO.
About the role: We are looking for a skilled and passionate leader to steer our Analytics and Data Science team. As the Director, Analytics and Data Science at Kaia Health, you will be responsible for the success of our Product Analytics, Business Analytics, and Analytics Platform teams. You will work closely with stakeholders from throughout the organization to prioritize all data efforts at Kaia. The Analytics and Data Science team is rapidly growing and expanding in scope; you will oversee this growth and ensure the team scales effectively.
The role responsibilities include:
- Own the vision, strategy, and execution of data initiatives at Kaia.
- Take over an existing team of ~10 analysts, data scientists, data engineers, and managers, inspire this team, and extend it by attracting and hiring stellar talent.
- Define strategy, goals, roadmap, organizational design, processes to ensure we at Kaia best utilize data to create end-user, customer, and business value.
- Make your two main stakeholders successful: Product teams: Ensure our product teams can experiment in short cycles and can make impactful product changes based on data; inform our qualitative research team with quantitative directionCommercial teams: Ensure our client success team is able to demonstrate the success of our product; ensure our sales team has data to position us competitively; and our marketing teams to steer their investments.
- Be proactive with asking questions, ensuring that the right questions are being answered and that analyses lead to clear and actionable recommendations and impactful product changes.
- Initiate and lead key strategic initiatives with organization-level impact.
- Build out our data platform, pipelines, and toolset to ensure teams are enabled to capture & work with high-quality data to answer their questions.
- Partner with the executive team and stakeholders from across the organization (Product, Engineering, Medical, Sales, Marketing, etc.) to prioritize data and analytics efforts.
What you need for this position:
- Track record of adding substantial end-user, customer, and business value by means of leading successful analytics & data science initiatives as well as defining and managing the team’s roadmap.
- Experience hiring, leading, and growing a successful team of 15+ data engineers, analysts, scientists in a fast paced, product-focused environment.
- Strong technical depth with regard to data infrastructure, tooling, analysis, predictive modeling. Can meet with engineers to break down problems and can set teams up to focus and deliver speed and quality. Experience with tools like Looker, Mixpanel, Redshift, dbt, Airflow, Snowplow, etc.
- Proven experience influencing product strategy and driving change across organization boundaries through clear and compelling communication of data-driven insights and analyses.
- Pragmatic & creative technologist with a wide range of interests and a builder mentality, continuously creating new ways to improve solutions. Be both a technical leader and a thoughtful people manager. You can recruit, inspire and develop a high performing team.
- Can design the right processes and systems to facilitate communication, improve execution, and ensure accountability that scale with a growing organization.
- Have a passion for mentoring members of your team to achieve strong results and continued engagement.
- Experience analyzing user behavior within web and/or mobile applications
Ideally you also have (optional):
- Deep understanding of a B2B2C business model, and an appreciation for meeting the needs of clients and end-users
- Experience operating in a regulated and privacy conscious market
- Experience in digital health or working with healthcare data
- Experience managing globally distributed teamsExposure to recommendation systems in production
You can directly influence the future of digital health in a team of industry experts and digital shapers.
You will work alongside serial entrepreneurs (previously founded and scaled another startup, Foodora).
You’ll enjoy flat hierarchies, a hybrid work from home/office environment, and flexible vacation and working times.
We support your professional development and have a budget set aside for you just for that!
Happy hours, team events, and knowledge-sharing sessions galore!
Join us if you’re looking for an entrepreneurial adventure and an exciting place to grow personally and professionally.
Tags: Airflow Business Analytics Engineering Looker Pipelines Predictive modeling Redshift Research
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Startup environment Team events
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