We are seeking two experienced Delivery Managers to lead the implementation and ongoing delivery of Master Data Management (MDM) solutions built on the Reltio platform for a global pharmaceutical client. These roles are business-facing and part of the client’s international and US-focused MDM team. Candidates must demonstrate a strong background in Reltio MDM , delivery ownership, and coordination across both technical and business stakeholders. The ability to handle nuanced product behaviors and manage deliverables with minimal handholding is crucial. Key Responsibilities: Lead delivery of MDM initiatives using the Reltio platform Collaborate closely with business stakeholders and internal platform teams (e.g., APD, Srikanth’s team) Ensure end-to-end delivery: requirement gathering, planning, execution, and support Translate business context into platform configuration (including customer master and pharma-specific data) Provide delivery oversight of configurable scripts (mostly in Java; Python experience may be considered) Coordinate with offshore and onsite teams for timely execution Ensure platform scalability, data quality, and operational support Manage relationships across different client functions to align on goals and priorities Required Skills and Experience: 10+ years in data delivery roles, with at least 3–5 years specifically managing MDM programs Hands-on experience with Reltio is mandatory Deep familiarity with Reltio quirks, configuration, data model, match/merge rules Background in pharma/life sciences industry or customer master data (preferred) Experience with configurable scripting in Java (preferred); flexibility for Python if technically sound Strong understanding of IDP (Intelligent Data Processing) and how it integrates into MDM Excellent communication skills with an ability to liaise across business and technology groups Track record of managing cross-functional teams and vendor resources Delivery-focused mindset: ability to drive outcomes, not just manage tasks Nice to Have: Prior experience supporting Customer or similar large pharma environments Familiarity with additional MDM tools and integration patterns Exposure to regulatory/compliance requirements in pharma (e.g., GDPR, data lineage)

Customer is seeking skilled and motivated professionals to join our project team supporting Customer across multiple data and AI product domains. The candidates will be part of a dynamic, cloud-native data engineering and analytics environment, working alongside domain leads to support global initiatives. Key Responsibilities: Work on the development and enhancement of data products using modern cloud-based technologies. Collaborate with Customer domain leads and stakeholders to translate requirements into scalable data solutions. Build and maintain data pipelines using AWS and Azure cloud platforms. Support integration with Snowflake-based data warehouses. Ensure solutions are well-documented, scalable, and aligned with enterprise architecture principles. Participate in discussions related to data architecture, best practices, and governance. Technology Stack: Cloud Platforms: AWS (Primary), Azure (Secondary) Data Platforms: Snowflake Languages & Tools: Python, SQL, Spark (preferred), Terraform (optional) Other Tools: Git, CI/CD tools, JIRA, Confluence Required Skills & Experience: 3–8 years of experience in data engineering, analytics engineering, or cloud-native solution delivery. Strong experience in building data pipelines in AWS and/or Azure environments. Hands-on experience with Snowflake is essential. Ability to work with distributed teams and collaborate directly with stakeholders. Strong problem-solving, communication, and documentation skills.