Who You Are

You are devoted, compassionate, and enjoy being in a challenging environment. The thought of being a part of a company’s growth from start-up to scale sounds like arduous work, but you’re up for it! You want to be a part of a healthcare organization that is laser-focused on its patients and its employees. You want to be part of a team that wants to create the best possible employee experience.

Does this sound like you? If so, we should talk.

Who We Are

We are Honest Medical Group, a groundbreaking team of health care professionals focused on making a major impact in health care. At Honest, we align every aspect of our company to support patients and providers. We are devoted to purpose and inspired by innovation. We embrace our communities and lead with kindness. We drive health improvements, create a seamless member experience, and eliminate unnecessary cost. We listen to the needs of our patients and our employees—continually working to push beyond the status quo.

For us, it’s all in an Honest day’s work.

Your Role

​​The Senior Manager, Data Analytics will play a pivotal role in driving the vision, strategy, and execution of our analytics and artificial intelligence roadmap. The ideal candidate will have a strong background in healthcare analytics, AI LLM (Artificial Intelligence - Large Language Models) experience, Tableau development, and data governance. As a key member of our team, the Senior Manager of Data Analytics will play a key role in extracting actionable insights from complex datasets, driving decision-making processes, and ensuring the integrity and security of our data assets. ​

*This position will be onsite in our Nashville office.

Primary Functions Include:

• Develop and execute a comprehensive data analytics strategy aligned with organizational goals.
• Provide leadership and guidance to the data analytics team, fostering a culture of innovation, collaboration, and continuous improvement.
• Act as a liaison between technology and business end-users, working with them to document current workflow processes.
• Collaborate with users to identify, define, and document business rules, process improvement options and alternatives as directed by business needs.
• Apply expertise in healthcare analytics to extract meaningful insights from healthcare-related datasets.
• Collaborate with cross-functional teams to address specific challenges and opportunities within the healthcare domain.
• Utilize Tableau to design and develop interactive dashboards and reports for various stakeholders.
• Lead efforts to optimize Tableau performance and ensure best practices in dashboard design and development.
• Leverage AI LLM technologies to enhance data analytics capabilities, including natural language processing and understanding.
• Stay current with advancements in AI LLM and identify opportunities for their application in data analytics.
• Develop and enforce data governance policies, ensuring the accuracy, consistency, and security of data.
• Establish and maintain data quality standards, metadata management, and data lineage documentation for analytics.
• Translate, simplify, and analyze the feasibility of requirements to enhance business processes and promote efficient solution design.
• Transform conceptual user needs into clear, functional business requirements for development teams.
• Formulate, define, and verify business cases, as well as business and solution requirements based on user and business needs.
• Identify required information fields and develop a data dictionary.
• Participate in systems development efforts.
• Formulate, document, and verify user stories, acceptance criteria, process flows, and mockups.
• Participate in testing, acceptance testing, and implementation of analytic tools, modules, and subsystems.
• Lead and manage a team of direct reports and contract employees.
• Support the development of release notes, user guides, training materials, etc.
• Effectively communicate complex and/or difficult information to both technical and non-technical audiences.
• Perform other related responsibilities as required.

How You Qualify

You reviewed the Who You Are section of this job posting and immediately felt the need to read on. This makes you a match for our innovative culture. You accept things change quickly in a startup environment and are willing to pivot quickly on priorities.

• Bachelor’s degree in information technology, computer science, data science, or a related field required; advanced degree in related field desired
  Proven experience (10+ years) in start-up or high growth-analytics with a focus on Analytics and AI products
  In-depth knowledge of analytics technologies, machine learning, and artificial intelligence, with a specialization in healthcare prediction models
• Strong knowledge and working experience of data warehouse and BI visualization tools like Tableau/Si-Sense etc. and programming languages (e.g., Python, R)
• Strong analytical, strategic thinking skills, and problem-solving skills with a data-driven decision-making approach
• Leadership experience and the ability to inspire and guide cross-functional teams
• At least 3+ years of people management experience
• Proficiency in Tableau and other relevant analytics tools
• Experience in driving data governance initiatives, ensuring compliance and adherence to industry standards
• Excellent communication and leadership skills, with the ability to influence and collaborate effectively
• Must be able to construct and execute SQL queries for data, technical and quality analysis
• Proficient in Agile tools, with a preference for experience in Jira
• High analytical fluency and comfort; creative in approach to representing business activity day to day with a high degree of fidelity to all required external reporting
• Experience with managing complex stakeholders, providing data-backed answers to business leader concerns
• Demonstrated ability to deliver on evolving processes while maintaining high degree of individual productivity
• Data engineering experience, some commercial responsibilities and exposure outside of pure analytics
• Experience with services/provider-based businesses; thinking through margins and key growth drivers
• Highly analytically self-sufficient, full-stack data orientation
• Familiarity with cloud-based analytics platforms (e.g., AWS, Azure, Google Cloud)