Senior Applied AI / Intelligent Automation Lead

Gen Digital Inc.•Mountain View, CA

19h

About The Position

The Senior Applied AI / Intelligent Automation Lead is responsible for the strategy, governance, and execution of AI solutions aimed at reducing manual work, improving decision quality, and creating measurable business value across the CFO organization, including Go to Market Sales, Supply Chain Operations, FP&A, Accounting, Tax, Internal Audit, and Data & Analytics. This role involves translating prioritized business problems and manual processes into scalable, production-ready AI agents and workflows. The Lead will also head a cross-functional enablement program, including a council, champions network, training, and communications, while driving adoption, performance monitoring, and executive-level reporting on outcomes and insights. The position requires a strong blend of applied AI fluency, program leadership, strategic thinking, change management, and governance to foster adoption and establish repeatable structures within the CFO organization.

Requirements

Bachelor’s degree in Engineering, or a related field.
10+ years leading cross-functional AI, analytics, or automation programs from problem definition through implementation and scale.
Proven delivery of AI/ML/LLM solutions in production (e.g., AI agents, forecasting, recommendations, workflow automation) with clear, measurable business impact.
Strong background in AI governance, change management, and adoption, including human-in-the-loop controls, risk guardrails, and training/communications that embed AI into day-to-day workflows.
Proven experience delivering AI-, ML-, or LLM-powered solutions in production (e.g., AI agents, chatbots, forecasting, recommendation systems, or workflow automation).
Strong experience with agent frameworks, orchestration, and system integrations.
Demonstrated success leading cross-functional AI, analytics, or automation programs from concept through implementation.
Solid understanding of commercial and finance systems (e.g., Salesforce, ERP, Data Warehouse/BI) and how AI enhances forecasting, deal execution, and data quality.
Experience managing and coaching both technical contributors and business stakeholders.
Excellent executive communication skills, with the ability to present complex AI topics, trade-offs, and results clearly.
Outcome-oriented problem solver with experience driving measurable efficiency gains in high-growth or transformation environments.
Curious technologist with a strong, continuous learning mindset.

Nice To Haves

Master’s or Ph.D. preferred.

Responsibilities

Identify and prioritize AI opportunities that drive incremental revenue, margin expansion, efficiency gains, risk reduction, and higher-quality decision making across GTM Sales, Supply Chain, FP&A, Finance, and Accounting.
Partner with finance and commercial leaders to embed AI-driven scenario analysis, early-warning signals, and insights into core planning and execution processes.
Define, prioritize, and execute the AI roadmap for the CFO organization, aligned to clear business outcomes and success metrics.
Establish and chair a CFO AI Enablement council/steering committee to prioritize use cases, align on goals, and provide ongoing oversight of AI initiatives across finance.
Lead the delivery of AI agents and workflows that automate processes, systematize system hygiene, improve forecasting, enhance reporting, surface key insights and alerts, and support onboarding and training.
Implement ongoing performance and reliability monitoring for AI agents and workflows, including incident management, root-cause analysis, and continuous improvement loops.
Build and lead a network of AI champions across CFO teams, including recurring AI forums (e.g., weekly calls, demos, success-story sharing) and goal-setting with team leads to drive engagement and adoption.
Manage a blended team of AI agent developers and CFO team members, setting priorities and removing delivery blockers.
Partner with IT on architecture, security, and integrations across various platforms including CRM, ERP, and data platforms.
Enforce AI governance, including human-in-the-loop controls, risk guardrails, and alignment with Gen AI use, privacy, and security policies in partnership with IT, Legal, and Risk.
Drive change management, training, and adoption so AI tools are embedded in day-to-day workflows.
Drive consistent communications on AI initiatives with all CFO stakeholders, including updates on usage opportunities, progress, blockers, support needs, and emerging trends.
Own the central library of AI enablement assets (templates, playbooks, best practices) and ensure resources are discoverable, current, and used in day-to-day workflows.
Establish executive reporting that tracks adoption, efficiency gains, key insight enablers, and financial impact.
Partner with internal and external experts to stay on top of major AI and automation trends that impact the organization.