Data Support Lead

Manhattan Associates

Data Support Lead managing client data and driving process efficiency at Management Science Associates. Leading a team to ensure high-quality data delivery and performance.

Posted 7/6/2026full-timeRemote • Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Quality Management, Operational Execution, and Performance Management, with a strong focus on continuous improvement and effective cross-functional communication. Proven ability to lead data support projects, manage team productivity, and implement process enhancements to align with strategic goals.

Highest-signal resume keywords

Data Quality ManagementPerformance ManagementAnalytical ThinkingProject ManagementCross-Functional Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data GovernanceContinuous ImprovementMetrics-Driven LeadershipBacklog ManagementProcess EnhancementAutomation IdentificationRoot Cause Problem SolvingData CleanupPerformance MetricsQuality Standards

Soft Skills

Team LeadershipMentoringStakeholder ManagementEffective CommunicationInfluence

Tools & Technologies

DatabasesProductivity ToolsBasic Querying

Industry Keywords

Data OperationsOperational EfficiencyMarket TrendsMaster Brand DataStandard Operating Procedures

About the role

Key responsibilities & impact

Lead and execute data support projects, ensuring quality, timelines, and stakeholder expectations are met.
Define, track, and act on performance metrics to improve team output and effectiveness.
Review and refine processes to improve efficiency, consistency, and scalability.
Ensure adherence to standard operating procedures and maintain accurate documentation.
Identify opportunities for automation and process enhancement.
Coordinate work across teams and escalate issues appropriately.
Align team activities with strategic goals and ensure progress is tracked and communicated.
Develop team capabilities through training, mentoring, and performance management.
Manage workload prioritization, staffing needs, and resources

Requirements

What you’ll need

Bachelor’s degree in Computer Science or related discipline or equivalent experience
Minimum five years’ related experience in a Data Operations environment.
Data quality management and governance.
Analytical thinking and root cause problem solving.
Operational execution and continuous improvement.
Performance management and metrics-driven leadership.
Project and backlog management.
Effective cross-functional communication and influence.
Technical proficiency with databases, productivity tools, and basic querying.
Ability to identify and respond to emerging market trends and changes, ensuring master brand data reflects current industry and client dynamics
Ability to drive continuous improvement in data quality and operational efficiency by identifying gaps, implementing controls, and enhancing validation processes
Ability to lead backlog data cleanup efforts by prioritizing work, executing against defined project plans, and maintaining clear visibility into progress and risks
Ability to actively manage team productivity through the consistent use of performance metrics, ensuring output meets established volume and timeliness expectations
Ability to ensure delivery of high-quality data by maintaining strong accuracy standards and proactively reducing errors identified downstream or post-delivery

Benefits

Comp & perks

Health, Dental & Vision Plans
401(k) Savings Plan
Flexible Benefits Plan
Life & Accidental Death & Dismemberment Insurance
Disability Income Plan
Paid Time Off (PTO) including Vacation, Sick and Holiday