About Shulman Fleming & Partners
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Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2001
$170K/yr
Full-time
Posted 7 days ago
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 controls
- Coordinate 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
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Operations Director?
A: To succeed as a Data Operations Director, key technical skills include proficiency in data management tools such as ETL (Extract, Transform, Load) software, data warehousing platforms like AWS Redshift or Google BigQuery, and experience with data governance frameworks like GDPR or HIPAA. Additionally, strong analytical and problem-solving skills, as well as expertise in data visualization tools like Tableau or Power BI, are essential for effective data operations management. Soft skills such as leadership, communication, and project management abilities are also crucial for driving data-driven decision-making and ensuring seamless data operations across the organization.
Q: What is the career path for a Data Operations Director?
A: A Data Operations Director typically follows a career progression that starts with entry-level roles such as Data Analyst or Business Intelligence Analyst, advancing to mid-level positions like Senior Data Analyst or Data Engineer, and eventually leading to senior roles like Data Operations Manager or Director of Data Engineering. Key opportunities for skill development in this role include mastering data management tools, learning programming languages like Python or SQL, and developing expertise in data governance, security, and compliance. Long-term career prospects for a Data Operations Director may include transitioning into executive leadership roles, such as Chief Data Officer or Chief Information Officer, or pursuing specialized roles like Data Scientist or Product Manager.
