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
