Data Management Operations Specialist

Job Overview:

We are seeking a highly skilled and proactive Data Management Operations Specialist to join our Data Management team in the insurance industry. This individual will play a critical role in supporting the Data Management Strategy and Operations Leader by overseeing the daily operations of our data management processes, ensuring the accuracy, accessibility, and compliance of data, and implementing strategic initiatives aimed at optimizing data governance and quality. This is a unique opportunity to work closely with senior leadership and contribute to the evolution of data management within a fast-paced and highly regulated industry.

Key Responsibilities:

• Support Data Operations: Assist in managing the end-to-end data lifecycle, from data acquisition and processing to storage, usage, and retirement. Ensure consistent, high-quality data availability across business units.
• Data Governance and Compliance: Collaborate with the Data Governance team to ensure that data practices are in line with regulatory requirements (e.g., GDPR, HIPAA, and industry-specific standards) and organizational policies.
• Data Quality Assurance: Monitor and maintain data integrity and consistency across various systems. Identify and address data quality issues, collaborating with technical teams for remediation.
• Data Reporting & Analytics: Support the generation of data reports for both operational and strategic decision-making. Analyze data trends and patterns to provide actionable insights.
• Process Optimization: Continuously evaluate data management workflows and recommend improvements to streamline processes, enhance data accessibility, and reduce manual effort.
• Collaboration: Act as a liaison between technical teams, business stakeholders, and leadership to ensure alignment on data management objectives, projects, and outcomes.
• Documentation & Training: Maintain comprehensive documentation for data management processes, workflows, and policies. Provide training and support to staff on best practices related to data usage and governance.
• Technology Integration: Assist in the integration of new data management tools and technologies to improve operational efficiency and data governance standards.

Functional Skills:

• Data Management & Governance: Strong understanding of data management principles, including data classification, data lineage, data security, and data privacy, with the ability to apply them in a regulated industry.
• Business Process Management: Knowledge of insurance industry operations, with the ability to translate business requirements into actionable data management strategies and improvements.
• Compliance & Regulatory Knowledge: Familiarity with industry regulations such as GDPR, HIPAA, and Solvency II, ensuring data management practices are compliant with legal standards.
• Stakeholder Communication: Effective communication skills to collaborate across departments and manage expectations, ensuring alignment on data-related objectives.
• Problem-Solving & Analytical Thinking: Ability to identify inefficiencies or risks in data management processes and develop solutions to mitigate them.

Technical Skills:

• Data Management Tools: Proficiency in data management platforms (e.g., Informatica, Talend, Collibra, Alteryx) and business intelligence tools (e.g., Tableau, Power BI, Qlik).
• Database Knowledge: Familiarity with relational databases (SQL Server, Oracle, DB2) and big data technologies (e.g., Hadoop, Spark) to assist in data operations and troubleshooting.
• Data Modeling & ETL: Experience with data modeling, ETL processes, and data warehousing techniques to ensure accurate and efficient data integration.
• Data Quality Tools: Experience with data profiling, data quality assessment, and monitoring tools to ensure data is fit for use.
• Scripting & Automation: Basic knowledge of scripting languages (e.g., Python, SQL) to automate data processing and ensure consistency across platforms.
• Cloud Technologies: Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and services for data storage and processing.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field.
• Minimum of 3-5 years of experience in data management, preferably within the insurance or financial services sector.
• Experience working in cross-functional teams and a fast-paced environment.
• Certifications in data management, such as DAMA (Data Management Association), are a plus.
• Knowledge of insurance-specific data st