{"id":3716124,"url":"https://alion.io/job/gsk-associate-director-data-platform-and-bi-services","title":"Associate Director- Data Platform and BI Services","company":{"id":6649,"name":"GSK","domain":"gsk.com","url":"https://alion.io/company/gsk","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":65,"ghost_share":0,"stale_share":0.708,"repost_share":0.031,"time_to_fill_p50_days":16,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Incident Management","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"RAG","optional":false},{"name":"ServiceNow","optional":false},{"name":"Apache Iceberg","optional":true},{"name":"Configuration Management","optional":true},{"name":"Delta Lake","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LangSmith","optional":true},{"name":"LLM","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-11-04T00:50:06Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T23:59:40Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Purpose:\nWe are seeking an experienced Associated Director- Data Platform & BI Services to provide technical leadership and service ownership across enterprise Azure Data Platform and Power BI services. This role will lead the delivery, governance, operation, and continuous improvement of Azure, Databricks, Data Lake, data engineering, integration, and Power BI capabilities, ensuring scalable, secure, reliable, and cost-effective services.\nThe role will oversee platform engineering standards, security and access controls, Power BI services, CI/CD, monitoring, performance, production operations, and service management, while driving automation, Generative AI, Agentic AI, and emerging technology adoption. As technical Product Owner, the Senior Manager will translate business requirements into prioritized platform capabilities and ensure solutions align with GSK-approved design patterns, security, engineering, and governance standards.\nKey Responsibilities:\nPlatform, AI & Technology Leadership:\nLead enterprise and solution architecture for major commercial data, analytics, AI/ML, and Power BI initiatives.\nLead technology delivery and platform enablement for major Commercial / Patient Data, Analytics, AI/ML, and Power BI initiatives.\nDrive AI and Agentic AI enablement, including AI agents, MCP servers, enterprise integrations, security, and governance.\nEnsure solutions follow GSK-approved architecture patterns, technology standards, security controls, and governance guidelines.\nPartner with Architecture, Security, Engineering, and Global Tech teams to obtain required technical reviews and approvals.\nOversee infrastructure provisioning and ensure compliance with established enterprise platform and security standards.\nDrive cross-functional technical alignment and dependency management across US Commercial, Data, MDM, Engineering, Global Tech, and partner teams.\nAzure Data Platform & Engineering Leadership:\nLead and oversee Azure Data Lake Platform services, including Azure Databricks, ADF, ADLS, Unity Catalog, and related Azure capabilities.\nEnsure platform solutions adhere to approved enterprise design patterns, engineering standards, security controls, and GSK technology guidelines.\nEnsure solutions meet scalability, reliability, security, performance, operational support, and cost-efficiency requirements.\nDrive adoption of standardized, reusable, configuration-driven platform capabilities and integration patterns.\nPartner with Architecture and Engineering teams to ensure new solutions align with enterprise technology direction and platform standards.\nPromote consistent implementation practices across Data Lake, analytics, AI/ML, and downstream data services.\nPlatform Governance & Technical Operations:\nManage platform user access, roles, permissions, Microsoft Entra ID (Azure AD) groups, service principals, and access approval processes.\nImplement and maintain role-based access controls (RBAC) across Azure, Databricks, Unity Catalog, Power BI, Data Lake, and related platform services.\nEnsure appropriate access controls for data, workspaces, applications, service principals, storage, and platform resources.\nOversee user onboarding/offboarding, access reviews, segregation of duties, privileged access, and remediation of access-related risks.\nEnsure platform configurations and operational processes comply with GSK security, governance, audit, and approved technical standards.\nDrive platform controls, audit readiness, automation, monitoring, technical risk remediation, and continuous improvement.\nPower BI Platform & Service Management:\nManage Power BI services including capacities, workspaces, gateways, semantic models, dataflows, reports, dashboards, and platform configurations.\nOversee user access, roles, security groups, RLS, workspace provisioning, sharing, and approval processes.\nEstablish technical standards for report development, semantic modeling, workspace management, deployment pipelines, and CI/CD processes.\nGovern the end-to-end report and semantic model lifecycle, including development, testing, deployment, certification, support, and retirement.\nDrive performance optimization, automation, monitoring, security, standardization, and cost-effective utilization of Power BI services.\nEnsure Power BI solutions integrate effectively with Databricks, Azure Data Lake, and enterprise data platforms while following GSK-approved technical, security, and governance standards.\nTechnical Product Ownership & Requirements Management:\nLead technical product ownership for Data Platform and Power BI services, including platform roadmap, capabilities, enhancements, and modernization.\nTranslate business needs into technical requirements, data flows, integrations, security requirements, platform dependencies, and acceptance criteria.\nReview technical requirements and user stories across Azure, Databricks, Data Lake, APIs, data pipelines, Power BI, and related platform services.\nAssess technical feasibility, dependencies, risks, security, performance, and operational readiness before implementation.\nManage and prioritize backlog across new capabilities, technical debt, automation, platform enhancements, security remediation, and production support.\nCoordinate end-to-end technical delivery while ensuring alignment with GSK-approved standards, design patterns, security, and governance requirements.\nPlatform Service Operations & Technical Leadership:\nLead day-to-day Data Platform and Power BI service operations, ensuring platform availability, reliability, performance, security, and operational readiness.\nOversee JIRA backlogs, ServiceNow incidents, service requests, problem records, change requests, and operational support queues, ensuring appropriate prioritization and resolution.\nDrive resolution of complex technical issues across Azure, Databricks, Data Lake, data pipelines, integrations, Power BI, gateways, access, and platform services.\nLead root-cause analysis (RCA), problem management, corrective/preventive actions, technical risk remediation, and recurring-issue elimination.\nEstablish and monitor service KPIs, SLAs, platform health, incident trends, capacity/performance metrics, escalation paths, and operational dashboards.\nCoordinate production deployments, change management, release readiness, environment dependencies, and post-production support across engineering and support teams.\nProvide technical direction to Data Engineering, Power BI, platform, and support teams, ensuring consistent engineering, support, and operational practices.\nPartner with Cybersecurity, Data Governance, infrastructure, application, and business teams to resolve cross-platform dependencies, security issues, and production risks.\nDrive automation, monitoring, alerting, operational documentation, support procedures, and continuous service improvement to improve platform stability and supportability.\nCommunicate service health, critical incidents, technical risks, dependencies, remediation plans, and platform priorities to leadership and key stakeholders.\nPlatform Service Operations & Technical Leadership:\nDrive innovation across Data Platform and Power BI services by evaluating and adopting emerging technologies, tools, and engineering capabilities.\nLead POCs and technical evaluations across Generative AI, Agentic AI, AI-assisted development, data engineering, analytics, and platform automation.\nIdentify opportunities to apply AI agents, MCP, RAG, intelligent automation, and AI coding capabilities to improve engineering productivity and platform operations.\nPromote automation across data pipelines, testing, deployment, monitoring, data quality, incident management, and operational support.\nEvaluate new capabilities within Azure, Databricks, Power BI, and the broader data/AI ecosystem for potential enterprise adoption.\nDefine measurable success criteria, technical feasibility, scalability, security, cost, and business value for innovation initiatives before production adoption.\nDrive successful POCs toward production-ready, reusable, governed, and scalable enterprise capabilities in alignment with GSK standards.\nRequired Skills & Qualifications:\n10+ years of experience in data engineering, data platforms, analytics, BI, or enterprise technology, with significant technical leadership and platform/service ownership responsibilities.\nStrong hands-on knowledge of Microsoft Azure, Azure Databricks, ADLS, ADF, Unity Catalog, and Power BI in enterprise-scale environments.\nStrong understanding of data engineering, data modeling, data integration, APIs, cloud platforms, security, scalability, performance optimization, and cost management.\nExperience managing Power BI services, including capacities, workspaces, gateways, semantic models, reports, security, refresh processes, deployment, performance, and production support.\nExperience with Microsoft Entra ID (Azure AD), RBAC, security groups, service principals, user roles, access approvals, and platform/data access controls.\nExperience applying enterprise-approved design patterns, engineering standards, security controls, governance requirements, and reusable platform capabilities.\nExperience driving Generative AI, Agentic AI, automation, and emerging technology initiatives, including technical evaluations, POCs, enterprise integration, and production enablement.\nDemonstrated experience in technical product/platform ownership, including requirements, roadmaps, backlog prioritization, technical dependencies, delivery readiness, and cross-team execution.\nExperience with JIRA, ServiceNow, Azure DevOps/CI/CD, release management, incident/problem management, RCA, change management, monitoring, and production operations.\nStrong understanding of data governance, data quality, access management, security, and healthcare/pharma data domains.\nStrong technical leadership, communication, and stakeholder-management skills with the ability to coordinate across engineering, security, governance, analytics, infrastructure, support, and business teams.\nPreferred Skills:\nExperience with Generative AI and Agentic AI technologies, including multi-agent systems, MCP, RAG, prompt engineering, LLM integration, and Responsible AI practices.\nHands-on knowledge of modern AI engineering frameworks and tools such as LangGraph, LangChain, LangSmith, vector databases, and AI-assisted development tools.\nStrong understanding of modern data-platform concepts, including data products, data mesh, metadata-driven frameworks, self-service analytics, lakehouse patterns, and open table formats such as Apache Iceberg and Delta Lake.\nExperience with AI/ML platforms, MLOps, model lifecycle management, monitoring, and production AI solutions.\nStrong understanding of Power BI semantic models, DAX, data modeling, gateways, capacity/performance optimization, deployment pipelines, and enterprise BI governance.\nKnowledge of healthcare, patient, commercial, marketing, and real-world data domains, with an understanding of data privacy, quality, security, and governance considerations.\nExperience driving automation and reusable engineering capabilities across ingestion, data quality, testing, CI/CD, monitoring, operational support, and platform management.\nAbility to evaluate emerging capabilities across Azure, Databricks, Power BI, data engineering, and AI ecosystems and transition successful POCs into scalable, governed production solutions.\nDemonstrated technical leadership in driving engineering standards, reusable patterns, platform modernization, innovation, and cross-functional technology adoption.\n Skills\nApplication Integrations, Application Programming Interface (API) Security, CI/CD, Cloud Engineering, Configuration Management (CM), Database Management, Data Engineering, Data Integration, Front-End Development, Internet of Things (IoT), Mobile Development, RESTful API Design, Security System Design, Software Development Life Cycle (SDLC), Version Control, Web DevelopmentWhy GSK?\nUniting science, te...","description_format":"text","description_chars":15123,"description_truncated":true,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Vaccines","Oncology Therapeutics","Infectious Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-11-04T00:50:06Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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