Leads and develops data engineering and data science teams while overseeing technical delivery, resource allocation, process improvement, and client-facing consulting. Requires 5+ years in technical consulting or professional services and demonstrated people-management, coaching, and communication skills.
120k – 140k/yr
Remote5+ YOEEngineering Management
About the role
Responsibilities
Manage a global team of Data Engineers and Scientists, providing mentorship, performance reviews, and career pathing.
Coach team members to synthesize complex technical architectures into high-level business strategies for executive stakeholders.
Foster cross-functional collaboration with Sales and Account Management to bridge technical knowledge gaps and identify strategic upsell and cross-sell opportunities.
Own resource allocation across a diverse portfolio of projects, matching talent to high-impact initiatives.
Develop and refine internal efficiencies and offerings to reduce manual effort.
Monitor team capacity against pipeline to support department growth targets.
Audit project delivery processes to identify opportunities for automation and R&D-led innovation.
Guide best practices in solution development and client relationships.
Define performance expectations, ensure accountability, and provide ongoing feedback, coaching, and mentoring.
Foster supportive working relationships, motivation, and engagement.
Prioritize direct-report workloads based on customer and business priorities.
Oversee team work at a high level to ensure timely delivery and quality.
Requirements
5+ years of experience in professional services or technical consulting, including 1–3 years in a leadership or management capacity.
College degree, preferably in Technical Management, or equivalent leadership experience.
Proven success coaching and mentoring experienced technical resources.
Exceptional communication skills with executive stakeholders and technical individual contributors.
Strong interpersonal and presentation skills.
Ability to work collaboratively and prioritize individual workload.
Compensation and Benefits
Base salary of $120,000–$140,000 per year.
Semi-annual individual bonus potential.
Medical, dental, and vision insurance.
Paid time off, including vacation, sick leave, and company holidays.
Paid volunteer time and flexible working hours.
Summer Fridays and work-from-home days between Christmas and New Year’s Day.
401(k) plan with a 5% company match and no vesting period.
Employer-paid parental leave, basic life insurance, and short- and long-term disability.
Health-care and dependent-care spending accounts.
Voluntary life insurance.
Employee Assistance Program.
Continuing education reimbursement.
Employee referral bonus program.
Monthly remote work stipend.
New-hire office equipment reimbursement.
Skills
Data EngineeringData ScienceMachine LearningBig Datatechnical architecturesolution developmentProcess AutomationData Analysis
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