Location: New York City, NY
Description: Data Operations LeadContract: 6-12 months (with potential extension)
Work Model: Hybrid / Onsite preferred
Locations: Princeton, NJ | New York City | Hartford, CT
Role OverviewOur client is seeking an experienced
Data Operations & Service Management Lead to oversee day-to-day data operations across enterprise data platforms. This role is responsible for ensuring data quality, governance, operational reliability, and workflow efficiency while acting as a Scrum Master and key liaison between business stakeholders, product owners, and delivery teams.
Key Responsibilities Data Operations & Service Management - Own and manage end-to-end data operations across data platforms, warehouses, lakes, and analytics systems
- Ensure high availability, reliability, and performance of data pipelines and reporting solutions
- Establish, track, and manage SLAs, KPIs, and operational metrics for data services
- Lead incident management, root cause analysis (RCA), and resolution of data-related issues
- Oversee production support, release coordination, and operational readiness activities
Data Governance & Quality - Drive data quality initiatives including monitoring, validation, reconciliation, and remediation
- Enforce data governance standards, policies, and best practices
- Ensure compliance with security, privacy, and regulatory requirements
- Partner with governance teams on data lineage, metadata management, and data stewardship
Stakeholder & Business Engagement - Serve as the primary point of contact for business stakeholders on data operations matters
- Translate business priorities into actionable operational execution plans
- Provide regular reporting on operational status, risks, and performance to leadership
- Support business-critical reporting, regulatory submissions, and executive dashboards
Team & Delivery Leadership - Lead and mentor data operations, platform, and support teams (onshore and offshore)
- Act as Scrum Master and facilitate scrum ceremonies and agile workflows
- Coordinate with data engineering, BI, cloud, and platform teams
- Drive continuous improvement through automation and operational efficiency
- Support vendor and partner management as needed
Required Skills & Experience Data & Technology - Strong experience managing enterprise data platforms (Data Warehouses, Data Lakes, Analytics platforms)
- Solid understanding of data pipelines, ETL/ELT processes, and BI/reporting ecosystems
- Experience with cloud data platforms (Azure, AWS, or Google Cloud Platform)
- Strong SQL skills with the ability to analyze and troubleshoot data issues
- Familiarity with monitoring, alerting, and operational support tools
- Understanding of data security, access controls, and compliance requirements
Operations & Governance - Proven experience in Data Operations, Data Support, or Platform Operations roles
- Strong knowledge of ITIL / Service Management (Incident, Problem, Change Management)
- Experience defining and managing SLAs, OLAs, and operational KPIs
- Exposure to data governance frameworks, data quality programs, and audit processes
Preferred Qualifications- Experience with Power BI, Tableau, or other enterprise reporting platforms
- Exposure to Databricks, Snowflake, Synapse, or similar modern data platforms
- Experience with automation, DevOps, and CI/CD for data platforms
- Familiarity with Agile and SAFe delivery models
- Domain experience in Insurance, Banking, or Financial Services
Please send resume to as well as your Linked IN.
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