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Senior Manager Data Analytics Jobs in Virginia (NOW HIRING)

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... You'll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute ...

Capital One

Senior Manager, Data Analysis

Mclean, VA · On-site

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Capital One

Senior Manager, Data Analysis

Richmond, VA · On-site

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Capital One

Senior Manager, Data Analysis

Richmond, VA · On-site

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Capital One

Senior Manager, Data Analysis

Richmond, VA · On-site

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

Capital One

Senior Manager, Data Analysis

Mclean, VA · On-site

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

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Senior Manager Data Analytics information

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

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Virginia? For Senior Manager Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Senior Manager Data Analytics jobs in Virginia look for? The top searched job categories for Senior Manager Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Senior Manager Data Analytics jobs? Cities in Virginia with the most Senior Manager Data Analytics job openings:
Senior Manager Data Analytics jobs near you
Infographic showing various Senior Manager Data Analytics job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Senior Manager, Data & Analytics

Highspring (Formerly MorganFranklin Consulting)

Mclean, VA • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Highspring is a dynamic consulting firm that delivers unparalleled opportunities for growth and career advancement. The Senior Manager, Data & Analytics will lead the design and implementation of modern data platforms and analytics solutions, partnering with clients to maximize the value of their data and support transformative initiatives.
Responsibilities:
• 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.
Qualifications:
Required:
• 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%.
Preferred:
• 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.
Company:
MorganFranklin Consulting is now Highspring, a leading global professional services organization with three integrated offerings—Consulting, Managed Services, and Talent Solutions. Founded in 1998, the company is headquartered in Mclean, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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