Assistant Manager -Reporting & Analytics

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Job Description: Collibra Techno-Functional Consultant

Company: Guardian Life Insurance Company Location: Gurgoan/Chennai Job Type: Full-Time

About Guardian Life

Guardian Life is a leading provider of life insurance, disability income, and employee benefits. We are dedicated to delivering exceptional products and services to meet our clients' needs. Our commitment to innovation and excellence makes us a great place to grow your career.

Role Overview

We are seeking a highly skilled Data Stewardship with expertise in Collibra implementation as Techno-Functional to join our Data & AI team. This role focuses on ensuring data quality, integrity, and compliance while driving the implementation and optimization of Collibra solutions within our organization. Manage business relationships partnering closely with technology, Enterprise Data, Enterprise Analytics, and others to ensure an integrated approach.

Key Responsibilities:

1. Technical Skills

⦁ Experience in Data Management including Business Analytics, Data Analytics, Data Management, Data Governance, Data Privacy, Data Lineage, Data Steward, Data Dictionary, Data Management, Data Quality. ⦁ Configure workflows, metadata management, and data catalog functionalities within Collibra. ⦁ Data Quality Logic Development: Proficiency in designing and implementing technical rules, validation checks, and business logic to ensure data accuracy, completeness, and consistency. ⦁ Workflow Automation: Expertise in developing automated workflows using tools like Collibra, Informatica, or Alteryx to streamline data quality processes and monitoring. ⦁ User Interface (UI) Design: Experience in creating intuitive and user-friendly interfaces for Collibra or similar data management tools to enhance usability and adoption by business users. Create and maintain dashboards, reports, and visualizations to support business decisions. ⦁ Data Management Platform Configuration: Advanced skills in configuring Collibra's metadata and data governance modules, including customization of policies, data lineage, and collaboration features.

1. Analytical Skills

⦁ Root Cause Analysis: Strong ability to use data analysis techniques to identify root causes of data quality issues and recommend actionable solutions. ⦁ Business Impact Assessment: Experience in quantifying the financial and operational impact of poor data quality and demonstrating the benefits of high-quality data products and subscriptions. ⦁ Cost-Benefit Analysis: Skilled in evaluating the return on investment (ROI) of curated data products and data subscriptions, including their impact on decision-making and efficiency. ⦁ Data and Technical Debt Reduction: Analytical expertise in identifying and mitigating redundant, outdated, or unused datasets and technologies to optimize data environments and reduce costs. ⦁ Work closely with data engineering and business intelligence teams to address data challenges.