Job Description

Location: New York City, NY Description: Data Operations Lead Contract: 6-12 months (with potential extension) Work Model: Hybrid / Onsite preferred Locations: Princeton, NJ | New York City | Hartford, CT Role Overview Our 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.

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

• 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
• 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

• 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

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