Senior Applied AI / Intelligent Automation Lead
Gen Digital Inc., Mountain View, CA, United States
About the Role:
The Senior Applied AI / Intelligent Automation Lead owns the strategy, governance, and execution of AI solutions that reduce manual work, improve decision quality, and create measurable business value across the CFO organization, including Go to Market Sales, Supply Chain Operations, FP&A, Accounting, Tax, Internal Audit, and Data & Analytics.
They translate prioritized business problems and manual processes into scalable, production‑ready AI agents and workflows, lead a cross‑functional enablement program (council, champions network, training, and communications), and drive adoption, performance monitoring, and executive‑level reporting on outcomes and insights.
This role combines strong applied AI fluency with program leadership, strategic thinking, change management, and governance to drive adoption and build repeatable structure across the CFO organization.
Key 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.
About you:
Education : Bachelor’s degree in Engineering, or a related field; Master’s or Ph.D. preferred.
Experience :
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.
Skills:
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.
Success Measures (First 6–12 Months)
Roadmap execution:
Delivery of a prioritized portfolio of AI agents with clear ownership and SLAs.
Efficiency gains:
Quantified reduction in manual effort across commercial and finance processes.
Business impact:
Demonstrable improvement in key CFO outcomes (e.g., forecast accuracy, pipeline conversion, working‑capital efficiency, margin, or risk indicators) attributable to AI solutions.
Adoption & satisfaction:
Strong usage and positive qualitative feedback from CFO teams.
Executive confidence:
Clear, consistent reporting that sustains executive sponsorship and expands mandate.
Personal Attributes:
Visionary leader with a strategic mindset and a passion for automation.
Ability to thrive in a fast‑paced, high‑tech environment and manage complex problems.
Can work across various teams and skill levels. Can lead without direct authority.
Creative problem solver - someone who thrives on continually learning.
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The Senior Applied AI / Intelligent Automation Lead owns the strategy, governance, and execution of AI solutions that reduce manual work, improve decision quality, and create measurable business value across the CFO organization, including Go to Market Sales, Supply Chain Operations, FP&A, Accounting, Tax, Internal Audit, and Data & Analytics.
They translate prioritized business problems and manual processes into scalable, production‑ready AI agents and workflows, lead a cross‑functional enablement program (council, champions network, training, and communications), and drive adoption, performance monitoring, and executive‑level reporting on outcomes and insights.
This role combines strong applied AI fluency with program leadership, strategic thinking, change management, and governance to drive adoption and build repeatable structure across the CFO organization.
Key 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.
About you:
Education : Bachelor’s degree in Engineering, or a related field; Master’s or Ph.D. preferred.
Experience :
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.
Skills:
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.
Success Measures (First 6–12 Months)
Roadmap execution:
Delivery of a prioritized portfolio of AI agents with clear ownership and SLAs.
Efficiency gains:
Quantified reduction in manual effort across commercial and finance processes.
Business impact:
Demonstrable improvement in key CFO outcomes (e.g., forecast accuracy, pipeline conversion, working‑capital efficiency, margin, or risk indicators) attributable to AI solutions.
Adoption & satisfaction:
Strong usage and positive qualitative feedback from CFO teams.
Executive confidence:
Clear, consistent reporting that sustains executive sponsorship and expands mandate.
Personal Attributes:
Visionary leader with a strategic mindset and a passion for automation.
Ability to thrive in a fast‑paced, high‑tech environment and manage complex problems.
Can work across various teams and skill levels. Can lead without direct authority.
Creative problem solver - someone who thrives on continually learning.
#J-18808-Ljbffr