Senior Analyst, AI-Enabled Strategy & Long-Term Planning

Altera Semiconductor•San Jose, CA

2d•Onsite

About The Position

The Senior Analyst, AI-Enabled Strategy & Long-Term Planning will help shape and operationalize the organization’s long-range business plans. The role combines business judgment, analytical rigor, and practical knowledge of AI systems and tools to turn complex data and emerging opportunities into strategic choices, plans, and measurable outcomes. It partners across business, finance, product, marketing, sales operations, data, and technical teams, and communicates concise, compelling recommendations to senior stakeholders. This is an applied strategy-and-planning role; it does not require building foundation models or serving as a production ML engineer. The listed salary range is $133,200–$212,700 USD for the Bay Area, California only. Actual salary may vary based on factors such as job location and job-related knowledge, skills, experience, and training. Incentive opportunities reward employees based on individual and company performance. Applicants must be eligible for any required U.S. export authorizations. Artificial intelligence is used to screen, assess, or select applicants.

Requirements

Bachelor’s degree in Business, Economics, Finance, Marketing, Analytics, Information Systems, or a related field, or equivalent practical experience.
At least 6 years of relevant experience in strategy, business planning, business operations, finance, marketing or sales operations, analytics, or a related discipline; equivalent combinations of education and experience may be considered.
Strong business acumen, including the ability to understand business models, value drivers, customer or market context, financial and operational trade-offs, and strategic priorities.
Demonstrated ability to independently structure and solve complex business problems using quantitative and qualitative analysis.
Experience building or using analytical models, forecasts, dashboards, KPI frameworks, or scenario analyses to inform decisions.
Practical familiarity with AI systems and tools, such as generative AI and AI-assisted analytics, including the ability to assess appropriate use, verify outputs, and recognize limitations, privacy concerns, and potential bias.
Strong written, verbal, and visual communication skills, including experience presenting concise recommendations to senior stakeholders.
Proven ability to manage complex cross-functional workstreams, align contributors, and deliver outcomes amid ambiguity and changing inputs.
Eligibility for any required U.S. export authorizations.

Responsibilities

Help shape and operationalize the organization’s long-range business plans.
Turn complex data and emerging opportunities into clear strategic choices, plans, and measurable outcomes.
Assess where AI can improve business decisions or workflows.
Build or use analytical models, forecasts, dashboards, KPI frameworks, or scenario analyses to inform decisions.
Structure and solve complex business problems using quantitative and qualitative analysis.
Manage complex cross-functional workstreams, align contributors, and deliver outcomes amid ambiguity and changing inputs.
Present concise recommendations to senior stakeholders.