Master Data Management - Reltio AI & Automation Lead

Siro Clinpharm; Pune District, Bengaluru, Delhi; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Siro Clinpharm is seeking an experienced Reltio AI/Automation Lead to drive AI-enabled MDM capabilities across Bangalore, Pune or Delhi. You will lead data quality, entity resolution, and governance initiatives while mentoring AI/automation engineers and aligning AI strategy with business goals.

The role requires 8+ years in MDM, strong Python and REST API skills, and experience with cloud platforms such as AWS. Exposure to GenAI and LangChain is preferred.

Qualifications

• Reltio MDM platform configuration and administration
• Reltio AI capabilities, entity resolution, matching and data quality management
• MDM concepts, governance and stewardship workflows
• Python, automation frameworks, REST APIs, and cloud platforms (AWS preferred)
• Exposure to Generative AI, LLMs, Agentic AI, RAG, LangChain or similar tech
• Ability to analyze AI recommendations and translate to business/technical improvements
• Strong stakeholder management, problem-solving and documentation skills

Responsibilities

• Lead implementation and optimization of Reltio AI and automation capabilities.
• Assess AI-driven match recommendations, entity resolution patterns, duplicate trends, and data quality insights.
• Design and improve matching, survivorship, and data quality frameworks using AI-assisted recommendations.
• Drive automation of data stewardship, exception handling, workflow orchestration, and governance processes.
• Collaborate with architects, business stakeholders, data governance teams, and platform teams to define AI strategy.
• Monitor and improve Golden Record accuracy, false positive/negative rates, and match confidence scoring.
• Identify opportunities for GenAI, Agentic AI, and intelligent automation within MDM operations.
• Create dashboards, KPIs, and reporting mechanisms to measure AI effectiveness and business value.
• Mentor AI/automation engineers and establish best practices for AI-driven MDM solutions.
• Support UAT, validation, production deployment, and continuous improvement initiatives.

Skills

Reltio MDM

Reltio AI

Entity resolution

Data quality

Python

REST APIs

AWS

Generative AI

LLMs

Agentic AI

RAG frameworks

LangChain

Stakeholder mgmt

Documentation

MDM concepts

Job description

Role: Reltio AI / Automation Lead

Experience: 8+ Years
Location: Bangalore / Pune / Delhi
Role Type: AI & Automation Lead, Master Data Management (MDM)

Key Responsibilities

• Lead implementation and optimization of Reltio AI and automation capabilities.
• Assess AI-driven match recommendations, entity resolution patterns, duplicate trends, and data quality insights.
• Design and improve matching, survivorship, and data quality frameworks using AI-assisted recommendations.
• Drive automation of data stewardship, exception handling, workflow orchestration, and governance processes.
• Collaborate with architects, business stakeholders, data governance teams, and platform teams to define AI strategy.
• Monitor and improve Golden Record accuracy, false positive/negative rates, and match confidence scoring.
• Identify opportunities for GenAI, Agentic AI, and intelligent automation within MDM operations.
• Create dashboards, KPIs, and reporting mechanisms to measure AI effectiveness and business value.
• Mentor AI/automation engineers and establish best practices for AI-driven MDM solutions.
• Support UAT, validation, production deployment, and continuous improvement initiatives.

Required Skills

• Strong experience in Reltio MDM platform configuration and administration.
• Experience with Reltio AI capabilities, entity resolution, matching, survivorship, and data quality management.
• Knowledge of Master Data Management (MDM) concepts, governance, stewardship workflows, and metadata management.
• Experience with Python, automation frameworks, REST APIs, and cloud platforms (AWS preferred).
• Exposure to Generative AI, LLMs, Agentic AI, RAG frameworks, LangChain, or similar technologies.
• Experience analyzing AI recommendations and translating them into business and technical improvements.
• Strong stakeholder management, problem-solving, and documentation skills.

Experience in Life Sciences, Healthcare, Pharmaceutical, or regulated environments is preferred