
Senior Manager, IT
- Hyderabad, Telangana Andhra Pradesh
- Permanent
- Full-time
- Strategic Leadership
- Define and implement the AI, data, and analytics vision aligned with business objectives.
- Drive digital transformation initiatives to enhance operational efficiency and business value.
- Identify and prioritize high-impact analytics and AI projects to solve business challenges
- Team & Project Management
- Lead, mentor, and develop a multidisciplinary team of data scientists, engineers, and analysts.
- Oversee the end-to-end lifecycle of data and AI projects, ensuring timely delivery and measurable outcomes.
- Develop a culture of innovation, continuous learning, and multi-functional collaboration
- Data Governance & Quality
- Establish and enforce data governance, quality, and integrity standards.
- Oversee the deployment and management of master and reference data, and ensure compliance with regulatory standards (e.g., GxP, FDA, GDPR)
- Collaborate with business and IT collaborator to define data models, quality rules, and governance frameworks.
- AI & Advanced Analytics Implementation
- Lead the design and deployment of AI/ML solutions, predictive analytics, and data platforms to support drug development, manufacturing, and supply chain optimization
- Evaluate and implement emerging digital technologies, platforms, and tools relevant to the pharmaceutical CDMO environment.
- Ensure robust data pipelines, architecture, and scalable analytics solutions
- Stakeholder Engagement
- Act as a strategic partner to business leaders, translating business needs into technical solutions.
- Present analytical findings and recommendations to executive leadership and external collaborators.
- Stay abreast of industry trends, regulatory changes, and standard methodologies in pharmaceutical data and analytics
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred.
- 8+ years of experience in data analytics, AI, or IT management, with significant exposure to the pharmaceutical or life sciences sector
- Proven experience leading teams and delivering complex AI/data projects in a regulated environment.
- Strong knowledge of data management, data engineering, cloud platforms (e.g., AWS, Azure, Databricks, GCP), and analytics tools (e.g., Python, R, SQL, Tableau, Power BI, pyspark)
- Deep understanding of regulatory requirements and standard processes for data integrity and compliance in pharma manufacturing
- Excellent communication, leadership, and collaborator management skills.
- Experience with CDMO operations, manufacturing systems, and digital quality initiatives.
- Knowledge of advanced analytics methodologies, machine learning, and automation in pharmaceutical processes
- Ability to translate complex technical concepts into actionable business insights for non-technical collaborators.