Senior Manager

Position Summary

Own end-to-end service delivery for the Vizag-based Commercial Pharma data operations and modernization team. The role is accountable for service governance, SLA/KPI adherence, stakeholder management, risk management, executive reporting, resource planning, financial governance and continuous improvement across data engineering, platform operations, BI, DQ, QA, AI and BA functions.

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

Lead the overall Vizag delivery organization for Commercial Pharma datasets.Own service governance forums, monthly service reviews, executive dashboards and operational scorecards.Manage SLA/KPI performance across incidents, enhancements, releases, data quality, platform reliability and business support.Drive RAID management, dependency tracking, vendor coordination, escalation management and mitigation planning.Manage capacity, utilization, onboarding, succession planning, skill development and cross-training across the 20-member team.Partner with client stakeholders, account leadership, delivery leadership and technology teams to align delivery outcomes with business priorities.Ensure compliance with data security, privacy, audit readiness, validation and controlled-release expectations.Identify continuous improvement opportunities through automation, process standardization, defect reduction and proactive monitoring.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

14–18 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

Global managed services leadershipData platform delivery governanceDatabricks and Informatica IDMC awarenessSLA/KPI managementFinancial governance and resource planningExecutive communicationRisk and escalation managementLife sciences commercial data domain

Commercial Pharma Dataset Exposure

Pharmaceutical commercial data platformsSales, prescription, claims, CRM and omnichannel datasetsCustomer master, HCP/HCO, product master, territory and alignment datasetsCommercial KPIs, field force effectiveness, market share and promotional effectivenessData 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

Stable service performance, executive confidence, SLA compliance, predictable delivery, reduced escalations, strong team productivity and measurable continuous improvement.

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.