Top Senior Level Jobs in Philadelphia, PA

Define and deliver healthcare platform features by translating customer and market needs into product strategy, roadmaps, prototypes, and measurable outcomes. Partner cross-functionally with Technology, Clinical Content, Commercial, Legal, Sales, Marketing, and Customer Success. Use AI-enabled methods to accelerate discovery and validation while establishing quality, governance, clinical oversight, trust, and commercialization practices for reliable healthcare experiences.

Leads strategic initiatives and long-term growth planning for the Health Research segment. Responsibilities include portfolio and market analysis, KPI and dashboard management, cross-functional program leadership, executive reporting, sales and product strategy support, innovation engagements, financial modeling, and evaluation of M&A, partnership, and investment opportunities. The role serves as a strategic advisor to senior leadership and coordinates execution across product, sales, finance, marketing, customer success, and other functions.

Supports and modernizes enterprise data services, including SQL Server and cloud-based ETL/ELT, data warehouses, pipelines, data integration, dimensional modeling, and OLTP environments. Develops SSIS, Azure Data Factory, and Microsoft Fabric pipelines; troubleshoots production data and integration issues; optimizes SQL and stored procedures; documents data flows and lineage; and collaborates with technical and business teams on secure, compliant data solutions.

Drives continuous improvement across engineering functions by optimizing workflows, eliminating waste, standardizing processes, establishing KPIs, and implementing automation. Leads Lean and Six Sigma initiatives, root cause analyses, process audits, maturity assessments, and engineering excellence programs. Develops process maps, SOPs, work instructions, dashboards, improvement roadmaps, and audit reports while partnering with engineering teams to implement sustainable operational improvements.

Builds and supports cloud-native AI orchestration platforms and shared infrastructure for production GenAI experiences. Responsibilities include agent orchestration, conversational AI, RAG and knowledge retrieval systems, model governance, observability, compliance pipelines, automated testing, deployment, production support, and performance optimization. The role also contributes to architecture, prototyping, stakeholder collaboration, responsible AI practices, and platform integrations across multiple model providers.

Provides expert technical leadership for conversational AI orchestration, knowledge management, model governance, and observability platforms. Defines architecture, standards, compliance pipelines, agent onboarding, knowledge ingestion, and model access patterns. Leads technical evaluations and proofs of concept, approves designs, resolves complex issues, supports secure and testable delivery, mentors engineers, and drives responsible AI engineering practices across Workplace Technology.

Lead design, implementation, automation, and operation of enterprise Okta identity services. Drive application onboarding, federation, lifecycle management, resiliency, monitoring, incident response, governance, and platform automation while mentoring engineers and improving security posture.

Supports business and technology initiatives by gathering and documenting requirements, developing business cases, conducting current- and future-state analysis, and bridging Commercial and IT teams. Manages project activities, timelines, dependencies, risks, stakeholder communications, and requirements traceability. Facilitates workshops, supports UAT and defect management, and contributes to production go-live activities. Requires strong business analysis, project management, communication, consulting, and stakeholder engagement skills, with consulting and/or Life Sciences experience.

Deploys, provisions, manages, and supports Windows and Apple endpoints across enterprise environments. Responsibilities include Intune, Autopilot, Jamf, Apple Business Manager, SCCM, application packaging, device lifecycle management, desktop and data migration, configuration profiles, compliance policies, troubleshooting, and device refresh programs. The role also supports modernization from traditional imaging and SCCM-based management to cloud-based, zero-touch provisioning and co-managed endpoint environments.

The HR Business Partner advises subsidiary leaders on people strategy, employee relations, talent acquisition, performance management, workforce planning, organizational development, engagement, retention, training, and change management. The role conducts investigations, ensures policy and employment-law compliance, uses HR metrics to guide decisions, supports HR technology initiatives, and partners with leadership on talent programs. This hybrid position requires frequent travel among company locations.

Designs and maintains network, cloud, firewall, SASE, and CASB security controls; conducts threat hunting, detection engineering, incident response, and forensic analysis; administers Microsoft Purview data governance, DLP, and eDiscovery; and manages business continuity and disaster recovery planning and exercises. Partners with legal, compliance, leadership, and business teams to address security risks and regulatory requirements.

Underwrites and manages commercial and investment real estate loan portfolios, including new requests, renewals, modifications, credit memoranda, covenant monitoring, risk ratings, and annual reviews. Analyzes financial statements, tax returns, collateral, leases, appraisals, guarantors, and repayment capacity. Ensures regulatory compliance, portfolio quality, documentation accuracy, and timely escalation of emerging risks while partnering with relationship managers and credit officers.

Designs, implements, secures, monitors, and maintains complex GovCloud database environments. Advises management, translates data requirements into compliant database designs, installs and configures database software, applies Datadog or comparable observability tools, improves reliability and performance, mentors database administrators, establishes best practices, and leads database projects.

Leads retrospective analysis of wearable sensor and physiological data, developing analysis tools, metadata systems, visualizations, statistical models, and machine learning workflows. Investigates data anomalies across hardware-to-cloud systems, curates large heterogeneous datasets, defines analytical requirements, and translates complex data into products and reports for technical, executive, and end-user audiences. Collaborates with engineering, product, and business stakeholders while establishing analytical standards and tooling.

Leads GSK’s US commercial decision science and AI innovation portfolio, including marketing mix optimization, next-best-action, predictive patient triggering, causal measurement, generative AI, agentic AI, and synthetic data. Owns scientific standards, model governance, enterprise deployment, reproducibility, explainability, adoption, and build-versus-buy decisions. Partners with brand, analytics, engineering, digital technology, and data management teams while personally designing and reviewing models and directing offshore analytic capacity.

Develop and maintain the technology function’s strategy and operating model, translating enterprise priorities into objectives, OKRs, initiatives, and governance. The role co-creates a north star vision with architecture and domain leaders, scans technology and market trends, assesses portfolio alignment, develops strategic recommendations, facilitates executive workshops, and communicates strategy across the organization. It also incorporates reliability and AI acceleration priorities into planning.

Own the strategy, roadmap, backlog, and outcomes for GSK’s cloud hosting and modern engineering platforms. Lead developer tooling, infrastructure automation, Azure and Google Cloud hosting, observability, AI-enabled engineering, security controls, vendor management, and cost optimization. Partner with engineering, security, quality, finance, procurement, and business teams across the US and UK. Combine product leadership with hands-on technical validation, architecture reviews, automation, pipeline development, platform reliability improvements, adoption initiatives, and regulated-industry compliance.