Manager - BIM

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