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Manager Data Analytics Engineer Jobs in Virginia

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

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Manager Data Analytics Engineer information

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

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What are popular job titles related to Manager Data Analytics Engineer jobs in Virginia? For Manager Data Analytics Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Virginia look for? The top searched job categories for Manager Data Analytics Engineer jobs in Virginia are:
What cities in Virginia are hiring for Manager Data Analytics Engineer jobs? Cities in Virginia with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Senior Manager, Data & Analytics

Highspring

Mclean, VA • On-site

Full-time

Posted 6 days ago

Job description

Transform Your Career
We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way.
Embrace new challenges and deliver real value to some of the world's most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.
The Team - Data & Analytics
Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.
You Are
You are a team-builder and problem-solver. You stay updated on new products and technologies. You have hands-on experience using f data, automation, and AI/ML tools and applications to creatively design, prototype, and implement solutions for your clients. You know that collaboration is key, so you look for ways to share and source best practices. If there's a new way to do something that improves outcomes for clients, you'll find it.
Your Impact
  • Design and build modern data warehouses and analytics-ready data models
  • Develop scalable, reliable data pipelines using cloud-based data platforms
  • Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders
  • Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions
  • Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines
  • Present findings, recommendations, and solution designs to both technical and non-technical audiences
  • Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code
  • Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts
  • Actively participate in internal knowledge sharing, mentoring, and career development activities
  • Perform in a leadership and Solution Architect role, helping with shaping the strategic direction of our growing AI/ML, automation, and Data Analytics practice.
  • Deliver on projects in the areas of data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
  • Support data transformation initiatives across a range of service lines, including:
    • M&A Lifecycle (integrations, divestitures, and carveouts)
    • Finance Transformation
    • Enterprise Data Strategy / Governance Standup
    • Process Improvement and Automation
    • System Implementations / Migrations
    • Data and Automation Strategy and Road mapping (including how companies can leverage AI, ML, and other advanced data modeling concepts)
  • Identify insights through use of statistical, algorithmic, mining and visualization techniques.
  • Conduct interviews with client stakeholders to identify process and data challenges.
  • Document and present findings to both technical and non-technical audiences.
  • Develop analytical proof-of-concept prototypes and/ or deliver large-scale analytical platform implementations to fulfill clients' tactical and strategic requirements.
  • Develop business procedures and data management policies for ensuring data accuracy and control.
  • Create model documentation, develop implementation roadmaps, and perform knowledge transfers.

At a minimum, you will have:
  • 5+ years of data analytics, AI, ML, or GenAI experience
  • Tier 1/Tier 2 consulting or professional services firms.
  • Experience architecting and developing AI/ML solutions.
  • Experience programming in Python, SQL, and/or R.
  • Experience using GitHub (e.g., source code management).
  • Comprehensive knowledge of modern statistical learning methods.
  • Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets.
  • Experience with any of the following commercial analytics, automation, and AI/ML tools: Alteryx, Power BI, Tableau, Power Automate, UiPath, Automation Anywhere, AI/ML/GenAI platforms, Informatica, Oracle EDMC, etc.
  • Proven ability to lead, motivate and build teams that deliver services and solutions that surpass client expectations.
  • Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes.
  • Experience presenting to CXO suite.
  • Industry experience within Financial Services, Technology/SaaS, and/or Supply Chain.
  • Understanding of typical software development lifecycles (Waterfall and Agile) and their associated lifecycle artifacts.
  • Experience with identifying and correcting problems in imperfect data and processes.
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Information Systems, or other technology-related field or equivalent number of years of experience
  • Flexibility to accommodate travel up to 25%.

Preferably, you will have:
  • Strong business skills and experience in accounting, corporate finance, and FP&A.
  • Familiarity with the M&A transaction lifecycle.
  • Master's degree in Information Technology, Statistics, Physics, Analytics or related field.
  • Experience managing technical development by acting as a liaison between the technical team and the user community.

The Kind of Person Who Thrives in This Role
We are not looking for someone who fits neatly into a single box. The ideal candidate is a "bridger"-someone who can move fluidly between a technical deep dive and an executive conversation. Specifically:
  • You're a builder, not just an analyst. When you see a gap in a process or a tool, your instinct is to prototype something-a script, a template, a dashboard, not just write a slide about it.
  • You're curious about "why" and "so what." You don't just want to understand how a transformer model works; you want to understand what that means for how organizations should govern and secure it.
  • You write well. A significant portion of this role involves producing written work-reports, frameworks, articles-and clarity of writing is non-negotiable.
  • You're comfortable being the least experienced person in the room. You'll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute and the humility to learn.

What We Offer
  • Accelerated growth trajectory: You'll be building a practice from the ground up alongside senior leadership, gaining exposure and responsibility that would take years to earn in a larger, more established team.
  • Investment in your learning: Budget for certifications, training programs, and conference attendance.
  • Client diversity: Work across industries and with organizations at different stages of AI maturity-from Fortune 500 companies to mid-market firms navigating their first AI initiatives.

Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance.
Base Compensation Range
$162,415-$256,356 USD

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