Principal Data & AI Strategist

At Cadence we hire and develop leaders and innovators who want to make an impact on the world of technology.

The Principal Data & AI Strategist is a senior individual contributor who provides deep data science and AI expertise to solve complex ambiguous business problems with broad organizational impact. This role leads multiproject and crossteam initiatives develops new analytical and AIdriven approaches and influences decisionmaking across functions. The position operates with a high degree of autonomy and is expected to mentor other practitioners while shaping best practices for the effective and responsible use of data and AI.

Key Responsibilities

Data & AI Strategy

• Lead the application of advanced data science analytics and AI techniques to address complex nonroutine problems where requirements and outcomes may be ambiguous.

• Translate business objectives into scalable data and AI approaches that drive measurable impact across multiple initiatives or teams.

• Evaluate emerging data and AI methods and determine practical applicability within the organization.

Solution Development & Methodology

• Develop adapt or refine new methods frameworks or analytical approaches beyond established standards.

• Assess tradeoffs among model performance explainability risk cost and operational feasibility.

• Ensure solutions align with enterprise standards for data quality security privacy and responsible AI.

Influence & Collaboration

• Influence stakeholders across functions (e.g. Product Engineering HR Finance Operations) through expert guidance and evidencebased recommendations.

• Act as a trusted advisor on data and AIdriven decisionmaking at the senior leadership level.

• Contribute to crossfunctional initiatives with sustained impact beyond a single team or project.

Mentorship & Capability Building

• Mentor and coach data scientists analysts and AI practitioners strengthening technical depth and strategic thinking across the organization.

• Contribute to shared standards documentation and best practices to improve consistency and effectiveness of data and AI work.

Required Qualifications

• Bachelors degree in Computer Science Data Science Statistics Mathematics Engineering or a related quantitative field.

• Approximately 8 or more years of relevant experience in data science analytics AI or related disciplines.

• Demonstrated success solving highly complex ambiguous problems with limited precedent.

• Proven ability to influence outcomes across teams and functions without direct authority.

• Strong written and verbal communication skills including the ability to convey complex concepts to nontechnical audiences.

Preferred Qualifications

• Masters degree or higher in a relevant field (e.g. Data Science Machine Learning Statistics Computer Science).

• Experience shaping or contributing to enterpriselevel data or AI strategy.

• Experience mentoring seniorlevel peers or leading complex analytical initiatives.

The annual salary range for California is $126000 to $234000. You may also be eligible to receive incentive compensation: bonus equity and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications skill level competencies and work location. Our benefits programs include: paid vacation and paid holidays 401(k) plan with employer match employee stock purchase plan a variety of medical dental and vision plan options and more.

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