Project Leader

Position Summary Design, configure, operate and optimize Databricks and cloud platform capabilities for Commercial Pharma data workloads from Vizag. The role ensures secure, reliable, cost-effective and scalable platform operations across environments, access controls, CI/CD, monitoring, performance and platform automation.

Business / Program Context The role is part of a Vizag-based delivery capability supporting Commercial Pharma datasets across global markets. The work may include platform operations, data engineering, data quality, reporting, AI enablement, release governance and stakeholder support for enterprise commercial data products. The role is not limited to Japan-specific datasets; Japan market familiarity may be useful but is not a mandatory baseline requirement for most positions.

Job Responsibilities

• Manage Databricks workspaces, clusters, jobs, workflows, notebooks, repos and platform configurations.
• Support Unity Catalog, access controls, credential management, workspace permissions and audit readiness.
• Implement CI/CD pipelines, environment promotion, release automation and platform deployment standards.
• Monitor cluster performance, job failures, usage patterns, costs and capacity.
• Support cloud storage, networking, secrets, identity integration and environment provisioning activities.
• Create reusable platform templates, automation scripts, monitoring alerts and operational runbooks.
• Partner with Data Engineers and QA teams to resolve environment, performance, deployment and access issues.
• Work as part of a Vizag-based delivery team supporting Commercial Pharma datasets and global commercial data stakeholders.
• Collaborate with business, technology, governance, quality and offshore/onshore delivery teams across time zones.
• Follow Agile delivery, SDLC, documentation, release, validation, access-control and data-governance standards.
• Contribute to knowledge management, reusable assets, SOPs, runbooks and operational excellence initiatives.
• Maintain strong communication discipline, including status updates, risk identification, issue escalation and timely stakeholder follow-through.

Required Work Experience

• 4–8 years of relevant experience aligned to the role and seniority level.
• Prior experience in pharmaceutical, life sciences, healthcare analytics, commercial data platforms or enterprise data programs.
• Experience working in a global delivery model with structured governance, documentation, SLAs and stakeholder communication.
• Ability to work from Vizag and collaborate effectively with India, global and client teams.

Technical / Functional Skills

• Databricks administration
• Unity Catalog
• Azure/AWS platform services
• CI/CD and DevOps
• Terraform or infrastructure automation
• Git and release pipelines
• Monitoring and cost optimization
• Security and access management

Commercial Pharma Dataset Exposure

• Pharmaceutical commercial data platforms
• Sales, prescription, claims, CRM and omnichannel datasets
• Customer master, HCP/HCO, product master, territory and alignment datasets
• Commercial KPIs, field force effectiveness, market share and promotional effectiveness
• Data quality, reconciliation, lineage, metadata and controlled release processes

Desirable Skills

• Experience supporting global pharma companies or commercial data programs.
• Exposure to Eisai-like commercial operating models, field reporting, sales operations and analytics use cases.
• Japan market dataset exposure is preferred but not mandatory unless the assignment requires direct Japan business engagement.
• Strong written and verbal communication skills; ability to explain data, risks, defects and business impact clearly.
• Certifications in Databricks, Informatica IDMC, Azure/AWS, Scrum, ITIL, Tableau/Power BI or AI/ML are preferred depending on role.

Success Measures / KPIs

• Secure and stable platform, optimized cost/performance, reliable deployments and reduced environment-related incidents.

Indicative 30 / 60 / 90 Day Expectations

• First 30 days: complete onboarding, understand commercial data landscape, delivery processes, documentation standards and role-specific tools.
• First 60 days: independently contribute to assigned workstreams, support issue resolution, produce required artifacts and participate in governance forums.
• First 90 days: demonstrate measurable ownership, improve delivery quality, identify improvement opportunities and support stable operations or project outcomes.