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Engineering Manager (Data & Analytics)Arbor EducationUnited States
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Engineering Manager (Data & Analytics)

Arbor Education
  • US
    United States
  • US
    United States

Über

Location
Remote
Salary
£100,000 - £110,000
About the role
We are looking for an experienced and communicative Engineering Manager (Data & Analytics) to join our Engineering team and help us drive high performance, alignment, and a culture of continuous improvement across teams. The remit and focus of the role is to lead 2 teams of engineers who are operating AI/agentic first to deliver value for a core product domain. This includes ownership of delivery outcomes, people development, and continuous improvement of engineering practices. It's a broad and exciting role, so we're looking for someone up for a challenge – if you’re delivery focused and a strong collaborator, this is the role for you.
Core responsibilities
Line management of 8‑12 engineers, including mentoring, performance management, and career development
Lead the people, delivery and processes of our data teams
Partner with internal and external customers, in addition to Senior Engineering Managers and Staff Engineers, to align our data capabilities across product and technical roadmaps
End‑to‑end delivery ownership for programmes across teams, ensuring delivery is aligned to business priorities and quality expectations
Champion, measure and refine your team's AI‑first practices
Partner with Engineering Managers and leadership to refine engineering processes, tooling, and team structures
Work directly with Product and commercial teams to ensure delivery goals are aligned, collaborative, and efficient
Use metrics to identify opportunities for improving delivery velocity, team health, developer experience, and system reliability
Promote and uphold engineering best practices across teams, including documentation, technical standards, and quality assurance
Set clear goals and measurable targets for your teams aligned with engineering and business outcomes
Actively support recruitment and onboarding, including interviewing and process improvement
Represent engineering in broader organisational contexts, including cross‑functional meetings, leadership forums, and internal/external presentations
Requirements
Proven leadership of high‑performing engineering teams across multiple levels of experience, including effective performance management
Previous line management and delivery responsibility within a commercially focused data function (warehousing, analytics, integrations, etc)
Outcome focused with an ability to drive high quality delivery; preferably within AI‑first environment (or one transitioning to this model)
Good technical and engineering background, with a solid understanding of software engineering fundamentals
Strong experience working in agile environments using various methodologies
Hands‑on experience using and interpreting metrics to guide delivery and team improvements
Great communication skills with the ability to influence across engineering, product, and other stakeholders
Comfortable with disagree/commit and advocating for engineering practices
Strong collaborative mindset with a focus on alignment, outcomes, and continuous improvement
Experience managing complex, cross‑team programme delivery involving multiple workstreams and dependencies
Bonus Skills
Hands‑on experience in a related data field: data engineering, analytics engineering or data science
Benefits
A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more!
32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas
Life Assurance paid out at 3x annual salary
Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks
Private Dental Insurance with Bupa
Salary sacrifice Pension provided by Scottish Widows
Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay
5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life!
Access to services such as Calm and Bippit (financial wellbeing coaching)
All of our roles champion flexible working and we are happy to discuss what this means to you
Social committees that plan team, office and company wide events to bring people together and celebrate success
Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc)
Volunteer with a charity of your choice for a day each year
Dog friendly offices!
Equal Opportunities Arbor Education is an equal opportunities organisation. Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive – whatever their ambitions may be. We support and promote diversity and equality, and actively encourage applications from people of all backgrounds.
Visa Sponsorship We are unable to provide visa sponsorship at this time.
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  • United States

Sprachkenntnisse

  • English
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