Senior Manager Data & Analytics
Harnham
Baltimore, MD · Posted November 5, 2026
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November 2026
- #5Cities hosting the most business conferences in the Mid-Atlantic18 conferences · of 12
- #7Cities with the most jobs that do not need a four-year degree in the Mid-Atlantic103 jobs · of 47
- #9Best cities for software and engineering jobs in the Mid-Atlantic242 openings · of 68
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Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
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- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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About the job
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Senior Manager, Data & Analytics
Base salary: $165,000 – $200,000
Bonus: Included
Hybrid (2 days per week in office)
Overview
We are partnering with a data-driven consumer business seeking a Senior Manager, Data & Analytics to lead a multidisciplinary data team and act as a strategic partner to senior leadership.
This is a highly visible leadership position combining team management, stakeholder engagement, analytics, business intelligence, and data strategy. The successful candidate will help shape how data is used across the organisation, driving better decision-making through actionable insights and scalable analytical capabilities.
This role would suit an experienced analytics leader who enjoys operating in a player-coach capacity, balancing strategic leadership with hands-on involvement where needed.
The Opportunity
You will lead a small team spanning multiple data disciplines and serve as the primary point of contact for data and analytics across the business.
The role requires someone who can translate complex business questions into analytical solutions, influence senior stakeholders through evidence-based recommendations, and build a high-performing data function that supports commercial growth and operational effectiveness.
Success in this position will come from the ability to combine strong leadership, commercial acumen, analytical thinking, and technical credibility.
Key Responsibilities
Leadership & Team Development
Lead, mentor, and develop a multidisciplinary team covering analytics, business intelligence, reporting, and data management.
Establish clear ownership, priorities, and accountability across the team.
Foster a culture of continuous improvement, collaboration, and delivery excellence.
Act as a player-coach, providing guidance while remaining close enough to the work to unblock challenges and support key initiatives.
Business Partnership
Partner directly with senior business stakeholders to understand priorities and strategic objectives.
Translate business needs into actionable data and analytics initiatives.
Provide thought leadership and challenge assumptions through data-driven insights.
Influence decision-making through effective communication and storytelling.
Analytics & Insights
Drive analysis across customer, commercial, operational, and financial performance.
Identify opportunities, risks, trends, and areas for improvement.
Deliver meaningful recommendations that lead to measurable business outcomes.
Establish and evolve KPI frameworks that support organisational performance.
Data & Reporting
Oversee reporting, data quality, governance, and analytical processes.
Partner closely with technical teams to ensure scalable and sustainable data solutions.
Improve analytics capabilities, reporting structures, and business visibility into performance.
Innovation & Emerging Technologies
Support adoption of modern analytical approaches, including AI-enabled tooling and predictive analytics where appropriate.
Identify opportunities to improve efficiency, scalability, and decision-making through technology.
Required Experience
6+ years of experience in Analytics, Business Intelligence, Data Science, or related disciplines.
Previous people leadership experience, including team development and performance management.
Experience leading broad data functions rather than a single specialist discipline.
A proven track record of partnering with senior stakeholders and influencing decisions.
Experience working within fast-paced, data-rich business environments.
Technical Requirements
Advanced SQL proficiency.
Strong experience with modern BI and visualisation platforms such as Looker, Omni, Tableau, Power BI, or similar.
Understanding of data pipelines, data transformation processes, reporting environments, and data quality principles.
Ability to collaborate effectively with technical and engineering teams.
Preferred
Snowflake
dbt
Python
Predictive analytics
MLOps exposure
AI-enabled analytics tooling
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