Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Leads enterprise Key Drivers Analytics and an Associate Director team delivering advanced analytics across pharmaceutical business priorities. Owns analytics roadmaps, methodologies, governance, modeling standards, talent deployment, and globally distributed delivery. Directs multivariate analyses, segmentation, diagnostics, scenario modeling, validation, insight generation, and executive recommendations. Partners cross-functionally to translate evidence into measurable business actions while ensuring reproducibility, compliance, responsible AI, and scalable analytical solutions.

Leads enterprise advanced analytics and modeling to identify drivers of business performance across brands, markets, customers, accounts, and geographies. Translates findings into prioritized actions, playbooks, launch strategies, and scenario-based recommendations. Oversees rigorous, scalable analytical approaches, partners with senior stakeholders, and develops analytics talent across the organization.

Leads the enterprise Advanced Analytics and Modeling portfolio, strategy, roadmap, governance, investment priorities, and global operating model. Oversees analytics capabilities spanning precision health, commercial analytics, optimization, AI, NLP, GenAI, and unstructured intelligence. Partners with senior business and technology leaders to translate strategic decisions into validated, interpretable, reusable analytical solutions and measurable impact. Manages senior capability leaders and distributed US-Hyderabad teams while developing talent, allocating resources, and guiding scalable ModelOps and enterprise deployment.

Leads strategic planning, portfolio governance, organizational performance management, resource planning, roadmap integration, and execution coordination for a global Decision Intelligence and Analytics organization. The role aligns investments, priorities, resources, and transformation initiatives; manages leadership operating rhythms, performance reporting, dependencies, and cross-functional governance; and supports senior leaders across matrixed organizations.

Leads enterprise analytics modernization and productivity strategy, governance, roadmaps, prioritization, workflow reengineering, and operating model transformation. Partners with AI and platform teams and business stakeholders to define requirements, enable AI-supported ways of working, establish reusable standards, drive adoption, and measure value. The role owns modernization backlogs, capability roadmaps, governance frameworks, and change initiatives while coordinating globally integrated teams.

Leads analytics governance and stewardship operations, portfolio administration, organizational reporting, knowledge management, and operational modernization. Administers governance forums, issue intake, escalation tracking, dashboards, scorecards, planning processes, reusable tools, workflows, and self-service resources. Coordinates cross-functional execution across US and HYD teams, supporting capability leaders without owning strategy, technical architecture, engineering, or governance decisions.

Owns a portfolio of NovaOS capabilities from concept through delivery, adoption, and continuous improvement. Manages backlogs, roadmaps, prioritization, requirements, user stories, release planning, and product metrics. Partners with stakeholders, Engineering, AI, UX, Data Science, and Architecture teams to deliver enterprise AI-enabled products aligned with governance, Responsible AI, and business objectives.

Lead enterprise data engineering standards, governed pipelines, data contracts, observability, quality controls, lineage, testing, and compliant data delivery. Partner with governance, privacy, architecture, modeling, and platform teams to ensure reliable, traceable, protected data products. Monitor operational performance, automate deployment and validation, and resolve pipeline and data reliability issues across complex enterprise environments.

Lead enterprise data governance capabilities across KPI governance, governance platforms, or data access and security. Responsibilities include defining frameworks and controls, managing governance platforms and access policies, partnering with business, technology, privacy, legal, and compliance teams, overseeing vendors, and reporting governance maturity and operational health. The role supports data strategy, trusted data access, Data Command Center capabilities, and responsible data use in a regulated environment.

Leads the strategy, architecture, development, deployment, and optimization of an agentic AI platform. The role transforms products and workflows into scalable AI experiences, oversees AI engineering operations, establishes security and governance practices, evaluates models and orchestration frameworks, and drives observability and continuous improvement. The Associate Director partners with product, data, architecture, security, and business teams while building and mentoring high-performing engineering teams.