Job Title: AI Data StewardExperience: 3–4 YearsLocation: Hyderabad (Onsite)Company: Multiplier AI About the CompanyMultiplier 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 OverviewMultiplier 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 ResponsibilitiesReview, validate, and manage high-volume datasets (5,000+ records) to ensure accuracy, consistency, and completenessUse internal platforms and data quality tools to audit, cleanse, and reconcile large datasets efficientlyDefine and enforce data standards, taxonomies, and business definitions for AI-ready dataMonitor data quality KPIs and proactively identify and resolve data issuesMaintain metadata, data lineage, and AI dataset documentationCollaborate with Data Engineering, AI/ML, and Analytics teams to ensure proper and compliant data usageSupport data governance, privacy, and compliance requirements, including PII handling and access controlsPerform root cause analysis on recurring data issues and implement preventive controlsAct as a liaison between business stakeholders and technical teams for data-related mattersSupport AI model training by ensuring clean, labeled, and well-documented datasets Required Skills & Qualifications3–4 years of experience as a Data Steward, AI Data Steward, Data Analyst, or Data Governance professionalProven experience handling large volumes of structured data with strong attention to detailStrong understanding of data governance, data quality frameworks, and metadata managementProficiency in SQL and working knowledge of relational databasesFamiliarity with data governance and data quality tools (Collibra, Alation, Informatica, or similar)Understanding of AI/ML data requirements, including training and validation datasetsStrong analytical, documentation, and stakeholder communication skillsAbility to work in an onsite, fast-paced, data-intensive environmentGood to HaveExperience working with AI/ML or advanced analytics teamsExposure to cloud platforms (AWS, Azure, or GCP)Knowledge of ETL pipelines, data lakes, and data warehousesExperience in SaaS or product-based organizations Who Should ApplyThis role is ideal for professionals who:Enjoy working with structured data and defined standardsAre comfortable reviewing and validating 5,000+ records with accuracy and consistencyHave experience using tools and platforms to manage and improve data qualityCan balance operational data review with analytical problem-solvingAre proactive, detail-oriented, and collaborativeAre 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 marketingWork on real-world AI use cases with global impactCollaborate with highly skilled data and AI professionalsOpportunity to grow in a fast-scaling, innovation-driven company
Job Title
AI Data Steward