Data Integration Operations Manager VP Level

Shulman Fleming & Partners; United States; Hybrid; USD 153,000 - 187,000; Full time

Job summary

Shulman Fleming & Partners is seeking a Data Integration Operations Manager (VP Level) to lead end-to-end data integration operations. This role requires a strong background in managing operational execution, ensuring data integrity, and overseeing system connectivity for critical data flows.

The ideal candidate will have extensive experience in data integration and incident management, particularly within financial services. A hybrid work schedule is available, and the salary can go up to $170,000 per year.

Qualifications

• At least 7-10 years of experience in data integration and operations.
• Strong experience with incident processes and banking frameworks.
• Demonstrated experience with various data analysis tools.

Responsibilities

• Own end-to-end data integration operations.
• Ensure accurate execution of integration processes.
• Monitor SLAs/OLAs across multiple systems.

Skills

Data integration

SQL development

Python development

Data analysis tools

Batch processing

Tools

SQL Server

Databricks

Snowflake

SSIS

Pyspark

Job description

Data Integration Operations Manager (VP Level)

MUST be local to Iselin NJ, Hybrid Schedule

Salary up to $170k

No Sponsorship Available, No Third Party Resumes

In this role you will be accountable for end-to-end data integration operations. You will ensure seamless system connectivity and data integrity across critical data flows. You will own operational execution for their Central Database and strategic DEAL Integration points covering Markets and related Service of Records. Additionally, you will provide oversight of batch workflows and integration processes, and partner with stakeholders to drive operational efficiency and reliability.

Key Responsibilities

• Own end to end data integration operations, including batch workflows and pipeline.
• Ensure timely, accurate execution of critical business hour integration processes
• Monitor and uphold SLAs/OLAs across multiple systems of record
• Manage production support, incident resolution, and operational risk
• Drive continuous improvement of integration processes and operational controlsCoordinate cross functional teams to ensure delivery and execution discipline

Qualifications

• At least 7-10 plus years of experience in data integration, operations, and enterprise platforms
• Strong experience managing incident processes, with an understanding of established banking frameworks and adherence to existing operating models
• Ability to balance business demands while maintaining oversight of batch processing, ticketing, and SQL Server environments
• Strong SQL and Python development skills
• Expected to support and transition work to target platforms such as Python and Databricks
• Ability to collaborate with the business on a daily basis and translate technical and functional needs
• Demonstrated experience leveraging a wide variety of data analysis/Integration tools: SQL, Oracle/SQL Server, SSIS, Python, Pyspark, Databricks, Azure, ADF, Airflow, Tidal/Control-M, Snowflake
• Balanced prioritization, and execution skills with Finance/Banking experience preferred.
• Strong expertise in batch processing, data pipelines, and system integrations
• Demonstrates strong knowledge and proficiency in data extraction, transformation, and analytics tools.
• Strong operational governance, SLA management, and risk management skills
• Clear communication and stakeholder engagement

Financial Services Experience Required:

• Experience in fixed income, capital markets, and derivatives preferred
• Strong understanding of financial products (including equities) to reduce onboarding time and accelerate business alignment

Nice to Have:

• Experience with Databricks and Snowflake
• Knowledge of semantic modeling and data modeling

Compensation

$170,000 per year