Top Tech Jobs & Startup Jobs

Own the strategy, roadmap, delivery, adoption, and continuous improvement of high-impact Digital Finance products. Shape the integration of AI, generative AI, and agentic workflows while partnering with engineering, design, data, Finance, and Digital teams. Use customer insights, experimentation, metrics, and business outcomes to prioritize investments, improve product performance, influence senior stakeholders, and advance AI product management practices across the organization.

Lead a team of operational controls analysts to execute monitoring strategy and control frameworks for patient support programs. Ensure consistent, accurate monitoring, enforce scope and governance, prepare escalations, support onboarding and analyst development, and ensure outputs tie to control objectives and evidence.

Develops scalable AI adoption playbooks, workflow guides, prompt libraries, training materials, and support resources. Designs practical learning experiences, embeds legal, privacy, security, and Responsible AI requirements, and collaborates with cross-functional stakeholders. Maintains content governance, taxonomy, and update processes; gathers feedback; and monitors usage, adoption trends, and support needs to improve self-service enablement. The role supports behavior change and sustainable adoption across a large multinational organization.

Build and scale an AI adoption community across US Commercial through champion networks, peer-learning forums, office hours, engagement campaigns, and success stories. Manage community channels, FAQs, knowledge assets, and content calendars while facilitating collaboration and continuous learning. Capture feedback, barriers, and use cases; track participation and adoption metrics; support local advocates; and recommend improvements that increase user engagement, experience, and value realization.

Manage executive governance forums by coordinating calendars, agendas, pre-reads, meeting logistics, decision logs, action tracking, documentation, archives, and follow-up. Support portfolio reviews and strategic decision forums while ensuring clear ownership, timelines, version control, and effective communication. The role requires strong organization, stakeholder management, discretion, and proficiency with Microsoft Office, SharePoint, Teams, and document management processes.

Build and maintain integrated portfolio roadmaps, planning calendars, milestone plans, capacity assumptions, and executive planning materials. Coordinate strategic planning and prioritization across stakeholders, manage dependencies and critical paths, monitor portfolio progress, identify risks and resource constraints, and improve planning governance and visibility across cross-functional teams.

Leads end-to-end complex marketing and organizational initiatives across global, cross-functional teams. Responsibilities include project planning, budgeting, resource allocation, governance, risk and issue management, stakeholder engagement, change management, dependency coordination, performance reporting, and continuous improvement. The role ensures projects meet timelines, budgets, strategic priorities, and compliance standards while improving PMO methodologies and operational effectiveness.

Own strategy, roadmaps, requirements, delivery, adoption, and measurable outcomes for AI-enabled digital finance products. Translate finance challenges into user-centered solutions, partner with engineering, design, and data science teams, monitor product performance, manage dependencies, and drive continuous improvement across a global organization.

Coordinate end-to-end medicine deliveries to government institutions as primary liaison with commercial teams, customers, and 3PL. Monitor OTIF, manage documentation and PODs, act as legal representative for regulated handovers, ensure regulatory/commercial compliance, drive process improvements, and lead continuous improvement and automation initiatives to optimize logistics performance.

Own the reference architecture for large-scale HPC environments supporting scientific workloads. Design compute, GPU, storage, networking, scheduling, data locality, hybrid cloud placement, capacity, and data center requirements. Translate research needs into infrastructure specifications, benchmarking, procurement inputs, and architecture decisions. Ensure security, quality, regulatory compliance, operational handover, and integration with AI infrastructure while engaging scientists and coaching technical teams.