Job
Description
Job Responsibilities Lead the end-to-end data management , including data ingestion, integration, governance, and quality processes. Oversee end-to-end data lifecycle management , including data ingestion, transformation, quality assurance, and publishing. Drive large-scale data migrations and modernizations , particularly from legacy systems like Redshift to advanced cloud-based platforms like Databricks and IDMC. Collaborate with internal teams and clients to establish best practices for data governance and stewardship . Ensure compliance with industry regulations (HIPAA, GDPR, etc.) and data security standards. Lead a team of data professionals, mentoring and developing talent within the organization. Engage with key stakeholders , including business leaders and technical teams, to align data initiatives with strategic goals. Manage project timelines, budgets, and deliverables while maintaining a high standard of execution. Support business development efforts by contributing to proposals, client presentations, and thought leadership in data management. Education BE/B.Tech Master of Computer Application Work Experience Minimum of 5 years of relevant experience in Pharma domain . 15+ years of experience in data management, analytics, and technology implementation, with a focus on the life sciences industry, with at least 5+ years in a leadership role . Proven track record in managing large-scale data transformation and migration projects using IDMC, Databricks, and AWS technologies. Strong leadership, stakeholder management, and team-building skills in an Agile/SAFe environment . Strong expertise in data governance, data cataloging, data quality frameworks, and business rule implementation. Hands-on experience in ETL processes, cloud-based data engineering, and reporting solutions (Power BI, Tableau). Expertise in managing stakeholder relationships and working with cross-functional global teams. Experience in AI/ML-driven predictive analytics and commercial operations analytics is a plus. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Capability Building / Thought Leadership Scale of revenues managed / delivered
