US Enterprise Data & Analytics Lead, Sales Operations (AI-Enabled)

As the US Enterprise Data and Analytics Lead for Sales Operations, you will serve as our technical and business intelligence expert who collaborates with data strategy, business insights delivery, and intelligent automation across the US sales organization. This role sits at the intersection of data, systems, and sales operations—requiring deep expertise in enterprise data platforms, analytics, and the ability to scale by leveraging AI and automation to solve complex business challenges.

You will partner closely with the Sales Operations and Sales team to drive the strategy and optimization of critical enterprise data systems including Dun & Bradstreet (D&B), Internal customer sales data, CRM platforms, and business intelligence tools—ensuring sales teams have access to accurate, timely, and actionable insights. As the lead for business intelligence delivery, you will streamline D&B usage, design agentic workflows, and drive automation that transforms sales planning, forecasting, compensation, territory design, and performance analytics.

This is a lead role where you leverage existing teams—including Business Process Requirement (BPR) managers, Analytics, Enterprise Systems, Data Science, and Engineering—to execute technical solutions. You will provide strategic direction, translate business requirements into technical specifications, and coordinate cross-functional execution. At the same time, you'll stay hands-on when innovating new solutions, prototyping agentic flows, or solving complex technical challenges.

The ideal candidate is both a data expert and a business expert who deeply understands sales operations processes and can balance strategic leadership with hands-on innovation. You're passionate about leveraging AI and automation to drive business value and have the technical fluency to guide technical teams while maintaining strong business acumen.

Business Intelligence & Data Leadership
Collaborate with the US business intelligence team to drive insights delivery to the sales organization, partnering in the strategy, optimization, and governance of enterprise data platforms and other critical data sources.
Support operating cadence (QBRs, forecast calls, pipeline reviews) with data-driven and AI-enhanced insights.
Streamline and optimize D&B data usage across US sales operations, ensuring data enrichment processes, account intelligence workflows, and territory assignment logic leverage high-quality business information that drives sales productivity.
Partner with Analytics and BPR teams to ensure US sales teams receive timely, accurate, and actionable insights that support account planning, territory management, forecasting, compensation, and opportunity identification.
Become the subject matter expert on US enterprise intelligence platforms, optimizing usage, training teams, and identifying new capabilities to enhance sales effectiveness.
 
AI Driven Insights, Data Strategy & Automation
Identify and deploy AI-driven analytics, agent-based workflows, and automation to reduce manual reporting and improve decision speed.
Implement intelligent forecasting models and pipeline insights using advanced analytics and AI tools.
Design and scale automated workflows for sales processes (e.g., lead routing, opportunity insights, performance tracking).
Drive adoption of AI-enabled tools and data products across the sales organization.
Continuously evaluate emerging technologies to enhance sales productivity and operational efficiency.

Cross-Functional Leadership & Execution
Partner with BPR managers to document business requirements and coordinate execution across Analytics, Enterprise Systems, Data Science, and Engineering teams to deliver data and automation solutions.
Serve as the technical liaison between US Sales Operations and technical teams, facilitating communication, aligning priorities, and ensuring successful execution of initiatives.
Work with Enterprise Systems to design and optimize system integrations using APIs, middleware, and ETL tools—coordinating execution while staying hands-on for complex challenges.
Act as a bridge between business stakeholders and technical teams to translate needs into scalable data and AI solutions.

6+ years in Sales Operations, Data & Analytics, Business Operations, or related fields. Strong analytical skills with experience in data modeling, BI tools, and analytics platforms (e.g., Tableau, Power BI, SQL).
Experience applying automation, advanced analytics, or AI/ML tools in a business context (forecasting, pipeline analysis, etc.).
Technical fluency with APIs, system integrations, and middleware tools to design and troubleshoot integrations between CRM platforms and enterprise data systems.
Demonstrated experience leading or coordinating technical teams including Data Science, Engineering, Analytics, or Enterprise Systems to deliver data solutions.
Proven track record of data-driven decision-making with experience analyzing complex datasets and influencing business strategy.
Strong business acumen with an understanding of sales operations processes (forecasting, quota planning, territory management, compensation, performance tracking).
Experience with CRM platforms (e.g., Salesforce) including configuration, reporting, automation, and data management.
Exceptional communication and leadership skills with the ability to translate technical concepts for non-technical audiences and provide strategic direction to technical teams.
Comfortable balancing strategic leadership with hands-on innovation—able to direct teams while remaining technically engaged to prototype and validate new solutions.

Hands-on coding experience with Python or R for data analysis and automation scripting.
Experience with AI/ML technologies including LLMs, generative AI applications, or designing agentic workflows and automation solutions.
Expertise in Dun & Bradstreet (D&B) data platforms, including data enrichment workflows, account intelligence, and optimization strategies.
Proven success leading automation initiatives that streamline processes and increase operational efficiency.
Understanding of machine learning, prompt engineering, and AI applications sufficient to guide technical teams and innovate solutions.
Track record of becoming a subject matter expert in complex enterprise data systems and driving strategic improvements.
MBA or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field.

Imagine what you could do here. The people here at Apple don't just create products — they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. As we continue to scale and evolve, AI and intelligent automation are becoming critical enablers of sales excellence, operational efficiency, and strategic decision-making.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.