Senior Manager

• Technical skills: Understanding of business and technical metadata concepts
• Experience in Snowflake - Security Classifications, Applying initial security classifications (column-level) to all tables in datawarehouse
• Experience Snowflake Architecture / SnowSQL
• Experience SQL Knowledge of IDMC Data Governance Tooling Expertise in assisting end users in re-pointing old queries to use
• Experienced in Catalog Migration Support- UAT for catalog migration Experienced in Snowflake Architecture to find out root cause issues
• Expereinence in Data Quality Rule Management- Analyzing / profiling business-side quality thresholds for CDEs Implementing quality thresholds in IDMC Initial triage of data quality errors
• Experienced in preparing Data Documentation - Confluence/Wiki (for documentation);
• Persisting SOR documentation into catalog (raw layer documentation)
• Maintaining documentation once built (long term) Manual wiki documentation (details TBD) Analyzing and applying data quality thresholds at the element level Scheduling the jobs and monitoring for day-to-day activities, escalating problems to the tech support if any issues arise
• Data lineage and traceability for purpose of triaging data quality incidents Support end-users with access and connectivity issues
• Establish a formal, regularly scheduled backup process
• Working with Development and Testing teams to prioritize and handle issues to resolve quickly
• Extract, transform, and load (ETL) data from various sources into Snowflake datasets
• Perform data quality checks and implement data cleansing and validation procedures
• Optimize data processing and storage for efficient performance
• Role & Responsibilities Overview: Collaborate with various business units to define and implement data governance policies, standards, and procedures
• Utilize IDMC to create and manage a centralized data governance repository/data catalogue, capturing data definitions, ownership, and lineage
• Monitor and enforce data quality rules and data stewardship activities within IDMC
• Perform data profiling and analysis to identify data quality issues and recommend solutions
• Conduct data lineage tracking to ensure data traceability and compliance with data regulations
• Support data cataloging efforts, tagging and classifying data assets within IDMC for easy discoverability
• Work closely with data stewards and data owners to resolve data-related issues and escalations
• Assist in creating data governance reports and dashboards within IDMC or other visualization tools to provide insights into data health and compliance
• Streamline data quality concerns by monitoring data pipelines, developing necessary data checks and implementing DQ standard methodologies for enhancing data quality Stay updated on industry best practices and emerging trends in data governance, data quality and apply them within the organization

Soft skills:, , Collaboration with stakeholders

• Driving strategic clarity with complex or new concepts for constituents Change management implementation through JIRA Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc) Ability to take complex subjects and simplify it to less technical individuals Provides clear documentation of processes, workflows, recommendations, etc High level of critical thinking capabilities
•  Organized and has the ability to manage work effectively, escalating issues as appropriate Takes initiative & is a self-starter Displays ownership of their work (quality, timeliness) Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant

Candidate Profile:

• Bachelor s/Masters degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply 8+ years experience, preferably in insurance analytics experience in developing and implementing policies, processes related to Modeling, Data Engineering, Data visualization
• Preferred experience in insurance domain (Investment Strategy group) BS Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering, or other science field), Information Systems, Information Processing or engineering
• Professional certification including (but not limited to) CFA/CA/FRM (preferred but not mandatory) Effective communication and collaboration skills to work with various teams across the organization
• Excellent analytical and problem-solving skills Proficiency in using IDMC for data governance activities