What are the responsibilities and job description for the Director of Engineering position at Glocomms?
A leading nonprofit is seeking a Director of Engineering to lead its Data Science & Engineering department, cultivating a data‑centric culture by building teams, infrastructure, systems, and services that enable organizational insights and power data‑driven product experiences.
The department includes the organization's full data function, analytics, reporting, data warehousing, and ETL infrastructure, and plays a central role in transforming data into a strategic advantage for mission‑driven initiatives.
WHAT YOU WILL DO
- Partner with organizational leaders to develop and execute a data strategy aligned with short‑ and long‑term goals, including support for growth through acquisitions and partnerships.
- Foster a data‑driven culture by elevating decision‑making and delivering best‑in‑class data products that meet high performance and reliability standards.
- Enable and advocate for AI/ML‑driven products and features by building scalable machine learning infrastructure for production environments and identifying opportunities for data science and analytics applications.
- Oversee Data Science, Data Analytics, Data Engineering, and Data Platform teams in a fast‑paced, mission‑focused environment.
- Guide the evolution of data systems, tools, and architecture, including data consolidation, governance frameworks, and unified data models across multiple entities.
- Ensure strong communication and partnership between data teams and their internal stakeholders, emphasizing responsiveness during high‑stakes periods.
WHAT YOU BRING
- 8 years of experience managing and leading Data teams
- 2 years leading Data organizations of 20 people
- Expertise in applying data science to strategic and operational decision‑making
- Strong background in statistics and quantitative analysis
- Expertise in data security and compliance
- Familiarity with Data Engineering, Data Platforms, and high‑performance big data tooling
- Experience building production‑grade ML/AI systems (feature pipelines, deployment, monitoring)
- Track record of driving technical excellence and elevating engineering teams
- Effective cross‑functional collaborator able to navigate ambiguity and joint initiatives
- Strong stakeholder orientation, especially during complex or time‑sensitive scenarios
- Ability to align multiple stakeholders and organizational structures
- Experience leading data integration efforts through M&A, including centralized data lakes, harmonized models, and governance frameworks
BONUS POINTS IF YOU HAVE…
- Background in sector‑specific technology or mission‑driven environments
- Experience in payments, B2B platforms, or two‑sided marketplaces
- Experience with analytics and reporting
- Previous work integrating data systems across organizations or M&A
- Familiarity with Redshift, AWS, dbt, Looker, Fivetran
- Experience working in or navigating labor‑organized environments
- Product management experience related to data products
- Experience establishing data governance standards, SLAs, and operational excellence practices
Salary Range: $213,918 - $242,511 - $290,000
Final offers consider experience, performance, and team compensation alignment.
BENEFITS
- Flexible schedules and unlimited time‑off policy
- Fully paid and inclusive medical, dental, and vision insurance for employees and families
- Fully paid HRA, short‑term and long‑term disability
- Fully paid basic & AD&D life insurance, plus optional supplemental coverage
- Dependent care and healthcare FSA options
- Employee Assistance Program
- 401(k) with automatic employer contribution plus additional match
- Minimum three months paid medical, family, and parental leave
- Commuter or home‑office benefits, including a $1,000 remote‑office setup allowance
- Additional perks including quarterly snacks and digital subscription benefits
*Unable to sponsor work visas at this time
Salary : $213,918 - $290,000