Senior Director of Business Intelligence and Data Engineering

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma’s free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc’s Best Workplaces in 2022 and 2023.

Requirements

• Experience leading strategy for Business Intelligence, Data Engineering, and Data Infrastructure.
• Track record of building and driving strategy for data teams.
• Expertise in data platforms (data warehouse, AI/ML infrastructure, BI and analytics tools, and data service/governance model).
• Ability to build a self-serve analytics environment.
• Experience designing and scaling data infrastructure for model training and deployment.
• Strong stakeholder management and buy-in generation skills.
• Ability to motivate, coach, and supervise a multi-disciplinary team.
• Experience partnering with Engineering, Product, and Data Science teams.

Responsibilities

• Own the long-term strategy for the data platforms (data warehouse, AI/ML infrastructure, BI and analytics tools, and data service/governance model) as well as the strategy for the data teams that build and support them.
• Build a self-serve analytics environment, democratizing access to the power of our data.
• Build scalable and reliable data pipelines and dashboards for company reporting.
• Design and scale our data infrastructure to enable model training, testing, deployment, and operations for predictive analytics, automation, and more.
• Get buy-in for long-term investments from our most senior stakeholders, driving every stage of planning and delivery from ideation to execution and adoption throughout Alma.
• Work closely with department leaders across Alma to understand their business objectives and needs and use analytics to help them uplevel their organizations.
• Motivate, coach, and supervise a multi-disciplinary team of data professionals to reach their goals and achieve deliverables.
• Partner with Engineering, Product, and Data Science teams to build a stable data platform that cohesively integrates with the rest of our technical systems.
• Supports our Data Science team as they productionize machine learning models.
• Scale the Data Warehouse