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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Technology Product Management, focusing on AI-enabled products and enterprise analytics platforms. Proficient in defining product strategies, managing product lifecycles, and ensuring performance and scalability across data and analytics solutions.
Highest-signal resume keywords
Technology Product ManagementAI-Enabled ProductsEnterprise Analytics PlatformsData EngineeringAgile Product Management
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own the technology vision, product strategy, roadmap, architecture, and lifecycle for GSK’s enterprise Field Intelligence platform supporting the US Commercial organization
- Modernize and consolidate field reporting, analytics, recommendation, and intelligence capabilities into a scalable enterprise platform
- Define target-state architecture across data, analytics, semantic, ontology, AI/agentic, integration, and user-experience layers
- Manage product lifecycle from discovery and experimentation through production deployment, scaling, optimization, and retirement
- Lead conversational analytics, proactive insights, dashboards, self-service analytics, pre-call planning, incentive compensation insights, Opportunity Engine/Next Best Action, and AI capabilities
- Own product requirements and governance for data layers, analytics-ready datasets, metrics, semantic models, ontology, and metadata
- Lead development and enterprise-scale production of AI, generative AI, conversational analytics, recommendation, and agentic capabilities
- Define performance, scalability, reliability, availability, security, observability, and cost-optimization requirements
- Own user experiences across web, iPad, Vault CRM, chat, voice, email, and notification channels
- Partner with commercial, data, engineering, architecture, security, UX, change-management, training, and communications teams
- Manage integrations, APIs, data contracts, service-level expectations, vendors, product backlogs, releases, pilots, testing, deployments, budgets, licensing, and value realization
- Communicate product strategy, architecture, risks, dependencies, and investment recommendations to senior leaders
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a closely related technical discipline
- 8+ years of experience in Technology Product Management, Data & Analytics Products, Commercial Technology, AI-enabled products, Enterprise Applications, or related disciplines
- Experience managing enterprise technology products from strategy and architecture through delivery, operations, adoption, and lifecycle management
- Experience with enterprise analytics platforms, cloud data platforms, data products, semantic models, APIs, and modern data architectures
- Technical experience designing or building foundational data layers, dimensional or analytical data models, analytics-ready datasets/data products, metrics layers, and semantic models
- Experience with data engineering, analytics engineering, or similar technical development work using modern cloud data platforms and data transformation/modeling approaches
- Experience with AI/machine learning and familiarity with the data science lifecycle
- Experience prototyping, building, or materially contributing to at least one AI-enabled product or capability
- Experience partnering with Enterprise Architecture, Data Engineering, Data Architecture, AI Engineering, Cloud Engineering, Information Security, and platform teams
- Experience defining technology strategies, product roadmaps, platform architectures, integrations, and non-functional requirements
- Experience managing technology performance, scalability, reliability, and cost optimization across data and analytics products
- Familiarity with artificial intelligence, machine learning, generative AI, large language models, conversational AI, recommendation engines, and agentic AI
- Experience applying Agile Product Management methodologies
- Experience with ThoughtSpot, Tableau, Databricks, Snowflake, Veeva Vault CRM, or comparable technologies
- Working proficiency with relevant data and analytics technologies such as SQL, Python, notebooks, and data transformation frameworks
- Relevant cloud, data, AI, Agile, or product management certifications are preferred
- Master’s degree is preferred
Benefits
Comp & perks- Comprehensive benefits program for US employees (details provided via GSK US Benefits Summary)
- Equal Opportunity Employer
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceAnalytics EngineeringData TransformationDimensional Data ModelsSemantic ModelsAPIsSQLPythonCloud Data PlatformsMachine Learning
Soft Skills
CommunicationLeadershipCollaborationStrategic ThinkingProblem Solving
Tools & Technologies
ThoughtSpotTableauDatabricksSnowflakeVeeva Vault CRM
Certifications & Qualifications
Relevant Cloud CertificationsData CertificationsAI CertificationsAgile CertificationsProduct Management Certifications
Industry Keywords
Enterprise ApplicationsCommercial TechnologyData ProductsAI CapabilitiesConversational Analytics