Top Tech Jobs & Startup Jobs

Own the vision, roadmap, and delivery of enterprise Finance data products. Translate Finance priorities into value-driven backlogs, lead discovery and development, and embed governance, controls, KPIs, lineage, security, and responsible AI requirements. Partner with Finance, Digital, technology, and data teams to deliver scalable capabilities, drive adoption, and measure outcomes through documentation, training, and stakeholder feedback.

Build, integrate, deploy, and operate Azure-based agent platforms supporting AI-enabled cyber defense. Develop secure APIs, serverless functions, integrations, workflows, deployment pipelines, runtime controls, telemetry, and recovery processes. Troubleshoot production issues across applications, identities, networks, and dependent services while monitoring reliability, performance, cost, and security. Apply agentic AI, LLMOps, security automation, and adversarial testing practices in collaboration with Cyber Defense and engineering teams.

Designs, deploys, operates, and optimizes high-performance computing and AI infrastructure across compute, networking, storage, middleware, and cloud platforms. Serves as the HPC technical expert, leads architecture and lifecycle initiatives, resolves critical incidents, tunes Unix systems, manages HPC schedulers and cluster software, and coordinates suppliers and partners. Requires extensive Linux, scripting, parallel computing, filesystems, high-speed networking, cloud, and DevOps experience, with pharmaceutical or scientific computing exposure preferred.

Develop and manage the lifecycle of autoinjector and prefilled-syringe combination products. Responsibilities include device component development, system integration, design control compliance, tolerance analysis, modeling, testing, quality oversight, audit support, and responses to health authority questions. The role collaborates cross-functionally to deliver safe, robust products for clinical trials and commercial production.

Develop and manage medical device and combination product components, including autoinjectors and prefilled syringe integration. Support design controls, regulatory compliance, quality delivery for clinical and commercial production, audits, and health authority responses. Work cross-functionally on device development and lifecycle management projects involving plastic and metal components, tolerance analysis, modeling, and testing.

Drives pharmaceutical sales growth by managing territories, accounts, and customer engagement plans. Builds trusted relationships with healthcare professionals, personalizes engagement using customer insights and multiple channels, communicates scientific and clinical information, and collaborates cross-functionally on compliant solutions addressing customer and patient needs.

Manages marketing metadata operations across brands and channels, including taxonomy, naming conventions, campaign tagging, quality assurance, governance, SLA adherence, documentation, and stakeholder coordination. The role identifies data and workflow issues, supports knowledge transition and training, oversees agency and vendor partners, and improves metadata processes for reporting and downstream systems. Power BI experience for dashboards and visualization is preferred.

Designs and maintains enterprise ontologies, taxonomies, knowledge graphs, metadata frameworks, semantic layers, and business glossaries. Supports data governance, semantic search, enterprise knowledge discovery, RAG and GraphRAG solutions, AI assistants, and agentic AI use cases. Collaborates with business domain owners and data stewards to standardize terminology, policies, controls, processes, and data assets across People and Organization and Corporate Functions.

Design and scale enterprise data platforms and pipelines using AWS, Snowflake, Python, and Apache Spark. Build batch, event-driven, and distributed processing solutions supporting analytics and AI. Implement data quality, governance, metadata, lineage, security, monitoring, and compliance capabilities. Apply cloud-native engineering practices, CI/CD, automated testing, and version control. Collaborate with stakeholders, create reusable data assets, support generative AI and machine learning initiatives, mentor engineers, and promote technical excellence.

Leads the end-to-end design, engineering, and delivery of enterprise AI, generative AI, and agentic AI solutions. Defines scalable architectures, platforms, engineering standards, and technology roadmaps; develops retrieval-augmented generation pipelines, APIs, microservices, and cloud-native applications. Oversees security, privacy, reliability, responsible AI, DevOps, budgets, risks, vendors, and stakeholder communications while mentoring engineering teams and driving innovation.