Director of Data

About ComPsych

ComPsychⓇ is the worldwide leader in organizational mental health, well-being, and absence management, dedicated to igniting human potential in workplaces across the globe. For over 40 years, we have combined the best in technology with unmatched human expertise to help individuals and their organizations thrive. Our GuidanceResourcesⓇ and AbsenceResourcesⓇ solutions deliver end-to-end mental health, well-being, work-life, health navigation, and absence support to more than 75,000 customers worldwide,  touching more than 160 million lives across 200 countries. Visit compsych.com to find out why 40% of the Fortune 500 choose ComPsych for their mental health and absence management needs.

Job Summary

We are seeking a Director of Data to lead our data organization through a significant transformation — modernizing our reporting infrastructure, building data science capability from the ground up, and establishing the data foundation needed to power AI capabilities in our product. 

This is a hands-on leadership role for someone who can operate at two levels simultaneously: setting a multi-year data strategy while also rolling up their sleeves to assess technical debt, guide a team through a skills transition, and make hard calls about people and technology. You'll inherit a team currently running on legacy tools (Crystal Reports, Oracle) that is in the middle of a migration to a modern cloud stack (Databricks, Power BI), currently supported by contractors. Your mandate is to bring that expertise in-house, retire the legacy system, and build a data science function that positions us to embed AI into our product. 

Primary Responsibilities

Team leadership & talent strategy 

• Lead and grow a team of reporting and data engineers, and stand up a new data science function within the org 

• Make and own decisions about team composition — hiring new talent, upskilling existing team members, and restructuring roles that are no longer aligned with the team's direction 

• Recruit and onboard data engineers, analytics engineers, and data scientists as the function scales 

• Build a team culture and set of practices (code review, documentation, on-call, etc.) appropriate for a modern data org, replacing ad hoc legacy practices 

Technology modernization 

• Own the transition off Crystal Reports and Oracle onto Databricks and Power BI, including setting a realistic deprecation timeline for legacy systems 

• Partner with and eventually reduce reliance on external contractors by building durable in-house capability 

• Define architecture, data modeling, and engineering standards for the new platform 

• Establish data governance, quality, and observability practices appropriate to a company relying more heavily on data for decision-making and product features 

Data science & AI enablement 

• Build a data science function from scratch: define its charter, hire its first members, and establish how it collaborates with product, engineering, and analytics 

• Identify and prioritize the data capture, pipelines, and infrastructure needed to eventually support AI/ML features in the product 

• Partner closely with product and engineering leadership to translate product AI ambitions into concrete data requirements 

• Establish practices for data quality, labeling, and accessibility that will make data usable for future AI/ML initiatives 

Strategy & stakeholder management 

• Develop and communicate a multi-year data roadmap, including migration milestones, team growth plans, and investment asks 

• Serve as the primary point of contact for data strategy with senior leadership, translating business needs into technical priorities and vice versa 

• Manage budget and vendor/contractor relationships during the transition period 

• Report on progress, risks, and trade-offs as the team transitions off legacy systems 

Job Qualifications

• 8+ years in data engineering, analytics engineering, or data leadership roles, including 3+ years managing teams 

• Proven experience leading a legacy-to-modern data platform migration (e.g., moving off on-prem/legacy BI tools to a cloud data platform) 

• Direct experience with Databricks and Power BI (or comparable modern cloud data/BI stack) in a hands-on or architectural capacity 

• Experience building or scaling a data science or analytics function, including hiring the first members of a team 

• Strong understanding of data architecture, data modeling, and data governance fundamentals 

• Experience managing external contractors/vendors and transitioning work in-house 

• Excellent communication skills; comfortable presenting data strategy and trade-offs to senior/executive stakeholders 

Preferred 

• Familiarity with legacy enterprise reporting tools (e.g., Crystal Reports) and relational databases (e.g., Oracle) — enough to understand what you're migrating away from 

• Experience preparing data infrastructure to support machine learning or AI product features (feature stores, data labeling, MLOps foundations, etc.) 

• Background in a product-led or SaaS organization 

• Experience with data governance and privacy/compliance considerations relevant to HR and Healthcare 

Success in This Role Looks Like 

• A clear, communicated plan (with milestones) for retiring the legacy reporting system 

• A right-sized, upskilled team operating confidently on the new stack, with reduced dependency on contractors 

• A functioning data science team with a clear charter and early wins 

• A data foundation (pipelines, quality, accessibility) that product and engineering can build AI features on top of 

• Trust from senior leadership as the go-to voice on data strategy 

 

Compensation and Benefits

• Full benefits package, including Paid Time Off (PTO), medical, dental, vision, 401(k) with match, robust EAP, wellness program, and much more
• The salary range for this position is $225,000 - $250,000 (USD). The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, and scheduled hours. 

 

EEO

 

ComPsych is an equal opportunity employer.  All applicants will be considered for employment regardless of race, color, age, genetics, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status and any other characteristic protected by federal, state or local laws. ComPsych Corporation maintains a drug free workplace.

 

ComPsych Corporation and its affiliates is committed to the responsible and transparent handling of your personal data. Information collected during the recruitment process will be used to assess your application and, where applicable, to prepare and administer an offer of employment. Your personal data will be processed in accordance with the privacy laws applicable in your country or jurisdiction of residence, which may include the California Consumer Privacy Act (CCPA), the EU General Data Protection Regulation (GDPR), Canada's Personal Information Protection and Electronic Documents Act (PIPEDA) and applicable provincial privacy legislation, and other applicable national or local privacy laws. For full details on what personal data we collect, how we use it, your rights as an Applicant, and how to contact us with privacy-related questions, please review the relevant Applicant Data Privacy Notices: US Applicant Data Privacy Notice & Canada Data Privacy Notice.