About Lark

Lark is the world's largest A.I. healthcare provider, contracted to manage 30M+ patients living with or at risk of chronic disease. Lark provides a human touch through the companion app on the user’s phone providing real-time coaching, guidance, and health insights to users. We are on a mission to disrupt the healthcare industry and make the world a healthier, happier place. Come join our team!

The Role

Reporting to SVP, Engineering, the Director, Data will oversee the data team (Data Science and Data Reporting Operations), leading the development and implementation of critical reporting products, advanced analytics, machine learning models, and data-driven strategies. This role requires a strategic thinker with a strong technical background and excellent leadership skills to transform complex data into actionable insights that inform business decisions. You will cultivate the talents of the data team and other data professionals to ensure that our data modeling and analytical work meet our internal and external customer needs. This requires implementing a comprehensive data strategy that provides the appropriate use of data across the organization and aligns with the company's goals and vision. Join us in shaping the future of health technology with innovation and leadership.

What You’ll Do

• Lead, mentor, and develop the data team, ensuring high performance and continuous growth

• Develop and execute a strategic vision for the data function, aligning with overall business objectives

• Promote a culture that values data-driven decision-making across the organization

• Collaborate with senior leadership to identify and prioritize data projects and initiatives, and gaps in data needs

• Partnering with the data engineering platform team to iteratively refine the data product that Lark provides to both internal and external customers

• Build a culture of best practices in data methodologies, tools, and techniques and ensure their application

• Drive the development of predictive and prescriptive analytics to support decision-making, and present innovative ideas to leadership and peers

• Establish key performance indicators (KPIs) to track the effectiveness and impact of data initiatives

• Work closely with cross-functional teams, including engineering, clinical, product, marketing, and account management, to integrate data solutions into business processes

• Present complex data insights and recommendations to non-technical stakeholders (internal and external) in a clear and concise manner

• Stay abreast of the latest industry trends, technologies, and advancements in big-data healthcare applications

What You’ll Need

• Experience as a people manager, leading and coaching a multidisciplinary team of analysts, data scientists, or other data professionals with varying levels of expertise

• Proven track record of successfully leading and delivering data projects

• Experience working with regulated industry data, particularly health care (PHI/PII/HIPAA) and/or human subjects, real-world behavioral data

• Experience in machine learning, statistical analysis, and predictive modeling

• Experience working with data engineering platform teams on data management, including data collection, processing, storage, and quality assurance

• Knowledge of databases, data warehouses, and data lakes

• Strategic thinker who can identify how data science can support business goals

• Effective at weighing different priorities and triaging against business goals, team capacity to make effective roadmap decisions

• Experience working with a wide range of stakeholders, including healthcare professionals, executive leadership, and external partners, upstream and downstream internal teams

• Excellent communication and presentation skills, with the ability to convey complex technical concepts to a non-technical audience

• Experience managing multiple teams

• Familiarity with AI advancements, particularly in LLMs

• Past experience working in programming languages such as Python, R, SQL, Scala, or similar. Mostly to be an effective mentor and participant in code reviews

• Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Spark, Snowflake, or similar)

• Experience supporting Pharmacy Benefit Managers and their partner organizations

Working at Lark

Lark operates as a remote organization, requiring all employees to reside within the United States. The specific salary offered to a candidate will depend on various factors, including their location, job level, and verified job-related knowledge, skills, and experience. In addition to a comprehensive benefits package, candidates may be eligible for additional compensation, such as participation in a bonus program and stock awards, where applicable.

Lark is an Equal Opportunity and Affirmative Action Employer. We believe that diverse teams foster innovation and add to our mission-driven culture. We strongly encourage people from underrepresented groups to apply.

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