About You

You are an organizational leader with a passion for data and analysis, who has a clear vision for how data can transform company strategy. You bring the leadership necessary to grow a team through the start-up phase into a mature organization. You are responsible for scaling the data function in an environment based primarily on cloud-based SaaS systems. One of your core competencies is transforming data into stories that inform high-level strategy and tactical decision-making. You consider global operations and be able to manage a remote, geographically dispersed team and ensure that the organization always approaches work with the goal of continuous improvement.

About the Job

SimplePractice is the future of practice management. We’re at the forefront of making it simple for clinicians to run and grow their practices and growing quickly. We’ve built the highest-rated practice management software, and we are the market leader in our space.

We are looking for a Director of Data Analytics and Insights to build upon our existing data practice and use those insights to inspire creativity in other team members. You will lead a team of data professionals as they use research and analysis to inform strategy and decision-making across the company (business operations, finance, marketing, product, engineering, customer support, and leadership) and deliver machine learning-based product features.

Responsibilities

• Ensure the company’s data is centralized into a single data lake and modeled to support data analysis requirements from all functional groups
• Create a common data framework so that all company data can be analyzed in a unified manner
• Create and execute a plan to develop and mature our ability to measure and optimize usage growth, mapped to our user journey
• Ensure that all transactional systems can communicate with the data warehouse and that production data adheres to a unified data model
• Develop a roadmap for the data and analytics function that clearly defines ownership and responsibility between the central data function and the functional groups
• Collaborate with all functions of the company to ensure data needs are addressed, and the required data is modeled and available to analysts and end-users
• Build out processes that support the different needs of groups from full-service to self-service across our data stack
• Work with product, operations, and executive management to guide a holistic vision of the future of data at SimplePractice, and help leadership plan for any changes in our data strategy or needs. An example is in-product analytics
• Recruit, build, and manage a team of A-players that executes your vision
• Bring machine learning initiatives from concept to production
• Be an evangelist and organizational thought leader for how to best use data and research insights to guide decision-making
• This position reports directly to the CIO and works closely with the executive team to develop an organization plan that addresses company wide analytic resources in either a direct report or matrix model

Requirements

• 8+ years of industry experience
• Master’s degree, PhD in Computer Science, Statistics, Applied Math, or related field or Undergraduate degree with compensating industry experience
• 4+ years experience in leading, hiring, and managing a team
• Excellent communication skills
• Self-starter with the ability to work independently and take initiative. Ability to translate ideas and business requirements into business solutions
• Strong analytical skills; ability to analyze raw data, draw conclusions, and develop actionable recommendations
• Strong background/experience with ETL (Stitch, FiveTran, Blendo etc), data mining, statistical analysis, data processing with large amounts of data
• Strong understanding and ability to operate with SQL and modern data warehouses (Snowflake, Redshift, BigQuery, etc.)
• Experience with data transformation tools (e.g. DBT)
• Experience with data visualization tools/dashboard development (e.g., Google Data Studio, Looker, Tableau, etc.)
• Experience with the machine learning lifecycle from research to production 
• Thorough understanding of SSOT (single source of truth) and Automated Data Quality
• Experience designing data warehouses, databases, & data schemas
• Experience working with data at a SaaS company

Nice To Have

• Understanding and ability to operate with systems and tools including Kafka, Pandas, Spark, TensorFlow, PyTorch
• Experience owning a data practice and implementing product roadmap(s)
• Personal interest in machine learning and AI systems