Senior Financial Analyst, Business Problem Solving and AI Delivery

Company:

Qualcomm Incorporated

Job Area:

Operations Group, Operations Group > Business Process Analysis

General Summary:

The Senior AI Scientist owns complex finance and accounting problems end-to-end: framing ambiguous challenges, diagnosing root causes using data, and designing and deploying AI-enabled solutions that simplify processes, reduce manual effort, improve decision quality, and meet control and compliance requirements.

This role is intentionally balanced—approximately 50% focused on business problem solving and analytical reasoning, and 50% on hands-on data analysis, AI development, and automation delivery.

This role requires full-time onsite work in San Diego, CA (5 days per week).

**This position is not eligible for Qualcomm immigration sponsorship.**

Minimum Qualifications:

• Bachelor's degree in Business, Engineering, Operations, or related field and 2+ years of related business process analysis experience.
OR
Associate's degree in Business, Engineering, Operations, or related field and 4+ years of related business process analysis experience.
OR
High School Diploma or equivalent and 5+ years of related business process analysis experience.

Key Responsibilities

Business Problem Solving & Analytical Reasoning (≈50%)

• Frame complex finance and accounting problems into clear problem statements, constraints, success metrics, and decision criteria.

• Diagnose root causes using structured problem-solving techniques and data analysis.

• Quantify opportunities and risks through baseline metrics and analytical models.

• Evaluate solution options (process change, rules-based automation, analytics, AI) and recommend the optimal approach.

• Translate analytical findings into clear, executive-ready insights and recommendations.

Data, AI & Automation Delivery (≈50%)

• Design, build, and deploy AI/ML solutions including LLMs and AI agents.

• Develop Python-based data pipelines for enterprise finance systems.

• Implement AI-driven automation using n8n or similar platforms.

• Integrate solutions with Oracle, SAP, Workday, ADP, and equity systems.

• Monitor model performance, drift, and business outcomes.

Adoption & Enablement

• Drive adoption through training, documentation, and hands-on enablement.

• Promote self-service AI capabilities for finance users.

• Build dashboards to track performance, adoption, and impact.

What Success Looks Like (12–18 Months)

• Delivery of multiple production AI solutions with measurable business impact.

• Demonstrated strength in problem framing, analysis, and execution.

• Trusted partnership with Finance leadership.

Career Progression

Progression is driven by ownership of larger problem spaces, analytical leadership, and influence over solution strategy—not just technical complexity.

Qualifications

• Bachelor’s or Master’s degree (MS preferred) in Finance, Accounting, Computer Science, AI/ML, or related field.

• Strong structured problem-solving and analytical reasoning skills.

• Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, LangChain).

• Experience with AI-driven automation platforms (n8n or similar).

• Strong finance/accounting business acumen and ERP experience.

Preferred Experience

• Finance or accounting process improvement experience.

• Knowledge of payroll, equity, or compensation accounting.

• Experience designing compliant, explainable AI solutions.