Senior Consultant | Project Management | Bengaluru | Artificial Intelligence & Data | AI Insights &

The team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.       

Your work profile

You will be responsible for maintaining the health and integrity of our core Customer Master Data Management (MDM) system by actively identifying, analyzing, and driving complex data issues to resolution. Working in a custom, in-house built system environment, the candidate will take direct ownership of a growing backlog of system issues. The ideal candidate must be a hands-on, technically proficient product owner who can proactively prioritize, triage, and organize data anomalies, partnering closely with technology teams to drive them to final resolution. This role bridges technical execution and product management, requiring an individual who can translate detailed customer data insights into actionable system improvements.

Desired Skillset

Technical Skills

•            SQL (Mandatory): Advanced capability to query databases, write complex joins, and perform deep-dive analysis to locate data anomalies and investigate data issues.

•            Data Flow & Architecture Analysis: Strong understanding of how customer data flows across upstream and downstream systems to identify integration bottlenecks or data quality lapses.

•            API Specification & Payload Analysis: Ability to read, interpret, and validate API specs and payloads to troubleshoot integration issues.

•            Pattern Recognition: Proficiency in analyzing large datasets to identify data quality trends, duplicates, and systemic data patterns.

Product & Operational Skills

•            Issue Backlog Management: Proven ability to manage, structure, and own a high-volume backlog of system and data issues.

•            Triage & Prioritization: Strong analytical framework to prioritize issues proactively rather than reacting solely to escalated system incidents.

•            Cross-Functional Collaboration: Demonstrated success partnering directly with engineering and technology teams to solve prioritized data issues.

Education: Any Graduate