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AdswerveAdswerveUnited States

Manager, Technical Services

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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