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Senior Manager, Data Services

Next Level Performance
New Brunswick, NJ

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Job Details

Part-time
$110,000 - $120,000 a year
6 days ago

Benefits

Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
Flexible schedule

Qualifications

CI/CD
Customer communication
Project development phase management
Data visualization software proficiency
Data Integration (Data management)
Azure
Presentations for conferences or internal meetings
Business intelligence report generation
Git
Threat detection & response
SQL
ETL process automation
Business intelligence tools
Docker
Azure Data Factory
Terraform
Managing projects
Project stakeholder communication
Data analytics technologies
Cross-functional communication

Full Job Description

Senior Manager, Data Services

Role Description:

The Senior Manager, Data Operations is responsible for the day‑to‑day leadership, execution, and operational health of the Data Services function, ensuring reliable delivery, clear prioritization, and effective escalation management across client data environments.

This role partners closely with the VP of Data / Data Services leadership to translate strategy into execution, lead the data team, and resolve delivery, platform, and client issues before they escalate to the executive level.

The Senior Manager acts as the operational anchor for Data Services—owning outcomes, protecting service quality, and enabling the organization to scale data work predictably across multiple workspaces and clients.

Role Positioning

Reports to: VP, Technology Solutions
Level: Senior Manager
Orientation: People Leadership + Operational Execution + Strategic Partnership
Supervises:
- Client‑Facing Data Platform Engineers- Business Analytics / Reporting Resources- Contractors or External Data Resources (as applicable)
Primary Interfaces:

- VP of Technology Solutions- Account Management & Strategic Account Management- Technology / Engineering- Finance / Customer & Client Services- Client Stakeholders (as escalation point)Major Responsibilities

1. Data Operations Leadership

Coaches engineers and analysts to build the next generation of leaders
Lead and manage the Data Services delivery team, ensuring accountability, performance, and clear role ownership.
Set operational priorities across multiple client data workspaces, balancing delivery demands, capacity, and risk.
Establish a culture of ownership, reliability, and proactive issue resolution.
Provide thought leadership and innovative ideas by leveraging cutting edge technologies such as AI in providing advanced solutions to our customers.

2. VP Partnership & Strategic Execution

Act as a strategic execution partner to the VP, translating high‑level goals into actionable plans.
Provide visibility into:
- Capacity constraints- Delivery risks- Workflow inefficiencies- Client and platform health
Prepare data driven recommendations to support roadmap, investment, and staffing decisions
Work closely with VP to develop a data business that can grow revenue3. Data Infrastructure & Operations

3. Data Infrastructure & Operations

Ensure SLAs, uptime and performance targets are met
Monitor, maintain, and continuously improve the stability and performance of ETL pipelines, scheduled workflows, and automated data processes
Oversee and triage incidents related to data pipelines, report failures, and integration issues — ensuring timely resolution and root cause documentation
Manage and enforce data quality standards across all data flows, including validation, reconciliation, and exception handling
Coordinate deployments and change management for data infrastructure updates (Azure Data Factory, Azure SQL, reporting platforms)
Maintain operational runbooks, pipeline documentation, and escalation procedures

4. Project Management

Lead and coordinate data projects end-to-end — from requirements gathering and scoping through delivery and post-launch support
Manage project timelines, track deliverables, and communicate status to internal stakeholders and clients
Work cross-functionally with data engineers, report developers, and platform teams to prioritize and sequence work
Identify risks, dependencies, and blockers early and proactively develop mitigation plans

5. Client Engagement & Support

Serve as the primary point of contact for banking clients with data-related questions, requests, and issues
Conduct requirements-gathering sessions with clients to understand reporting needs, data specifications, and integration expectations
Translate business requirements into clear, actionable technical briefs for the engineering team
Provide responsive, professional support when clients experience data discrepancies, report errors, or delivery failures
Build strong client relationships through consistent communication, follow-through, and a solutions-oriented approach

6. Data Governance, Quality & Compliance

Ensures data is trusted, secure, and compliant
Familiar with compliance standards such as HIPPA, GDPR, SOC2

Required Skills, Knowledge, and Intangibles

Required

3+ years of experience in data operations, data management, or analytics engineering role
Hands-on experience with ETL tools and data pipeline platforms (Azure Data Factory or equivalent)
Strong working knowledge of SQL and relational databases (Azure SQL, SQL Server, or similar)
Demonstrated experience in client-facing or stakeholder-facing roles — comfortable leading meetings and presenting technical concepts to non-technical audiences
Experience managing or coordinating data-related projects with multiple workstreams
Familiarity with BI and reporting tools (Power BI, SSRS, or similar)
Excellent written and verbal communication skills

Preferredo

Exposure to cloud data platforms such as Microsoft Azure or Microsoft Fabric
Familiarity with compliance and data governance frameworks (SOC 2, data retention policies, access controls)
Experience with monitoring and alerting tools for data workflows
Project management certification (PMP, CAPM) or experience with formal project tracking methodologies

Success Measures

Data availability, accuracy, and reliability
Reduction in data incidents and quality defects
Delivery of data products on time and within scope
Documentation that describes custom workflows and data architecture
Stakeholder satisfaction and adoption
Team capability growth and retention

Pay: $110,000.00 - $120,000.00 per year

Benefits:

401(k)
Dental insurance
Flexible schedule
Health insurance
Paid time off
Vision insurance

Work Location: Hybrid remote in New Brunswick, NJ 08901

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