AI Data Steward

Job Title: AI Data Steward

Experience: 34 Years

Location: Hyderabad (Onsite)

Company: Multiplier AI

About the Company

Multiplier AI has been recognized as a global leader in emerging platforms for pharma marketing (2020) . Our AI-driven platforms enable specialty pharmaceutical companies to leverage advanced AI and digital techniques to precisely micro-target physicians and execute high-impact marketing campaigns. We combine deep domain expertise with cutting-edge technology to deliver measurable outcomes for pharma brands worldwide.

Role Overview

Multiplier AI is seeking a detail-oriented AI Data Steward to ensure the quality, governance, and usability of data that powers our AI and analytics platforms. This role involves large-scale data review and validation , ensuring AI-ready datasets are accurate, compliant, and well-documented for training, validation, and deployment of AI/ML models.

Key Responsibilities

• Review, validate, and manage high-volume datasets (5,000+ records) to ensure accuracy, consistency, and completeness
• Use internal platforms and data quality tools to audit, cleanse, and reconcile large datasets efficiently
• Define and enforce data standards, taxonomies, and business definitions for AI-ready data
• Monitor data quality KPIs and proactively identify and resolve data issues
• Maintain metadata, data lineage, and AI dataset documentation
• Collaborate with Data Engineering, AI/ML, and Analytics teams to ensure proper and compliant data usage
• Support data governance, privacy, and compliance requirements, including PII handling and access controls
• Perform root cause analysis on recurring data issues and implement preventive controls
• Act as a liaison between business stakeholders and technical teams for data-related matters
• Support AI model training by ensuring clean, labeled, and well-documented datasets

Required Skills & Qualifications

• 34 years of experience as a Data Steward, AI Data Steward, Data Analyst, or Data Governance professional
• Proven experience handling large volumes of structured data with strong attention to detail
• Strong understanding of data governance, data quality frameworks, and metadata management
• Proficiency in SQL and working knowledge of relational databases
• Familiarity with data governance and data quality tools (Collibra, Alation, Informatica, or similar)
• Understanding of AI/ML data requirements, including training and validation datasets
• Strong analytical, documentation, and stakeholder communication skills
• Ability to work in an onsite, fast-paced, data-intensive environment

Good to Have

• Experience working with AI/ML or advanced analytics teams
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Knowledge of ETL pipelines, data lakes, and data warehouses
• Experience in SaaS or product-based organizations

Who Should Apply

This role is ideal for professionals who:

• Enjoy working with structured data and defined standards
• Are comfortable reviewing and validating 5,000+ records with accuracy and consistency
• Have experience using tools and platforms to manage and improve data quality
• Can balance operational data review with analytical problem-solving
• Are proactive, detail-oriented, and collaborative
• Are interested in building a long-term career in AI-driven data governance

Why Join Multiplier AI?

• Be part of an AI-first organization transforming pharma marketing
• Work on real-world AI use cases with global impact
• Collaborate with highly skilled data and AI professionals
• Opportunity to grow in a fast-scaling, innovation-driven company