Latin America (ALAC) AI Business Process Champion

Apple

About The Position

The AI Business Process Champion is an individual contributor embedded at the intersection of Sales operations and AI/ML transformation. This person digs deep into how Sales teams truly work — mapping processes, surfacing interdependencies, and identifying where AI and ML can create breakthrough efficiencies, not just incremental ones. You bring and instill genuine enthusiasm for what AI makes possible, making transformation feel like an energizing opportunity rather than a disruption to endure. You drive the human change that makes new technology actually stick, maintain a continuous intelligence loop with engineering teams throughout development, and —in partnership with the CoE Lead— own the business-side integration of solutions back into live team workflows, including the functional specifications that define what every AI tool and agent should do from the user's perspective. Deep applied knowledge of AI/ML capabilities, disciplined self-learning, and rigorous adherence to Apple's internal policies and Sales compliance requirements are all essential to the role.

Requirements

5+ years in process management, process improvement, Sales operations, strategy, or organizational transformation
Expertise in structured process improvement — redesigning workflows and delivering measurable outcomes, including through technology
Expertise in detailed process mapping, including cross-functional workflows and interdependencies
Proven track record executing change management programs— navigating resistance, building adoption, and sustaining transformation over time
Direct experience working with Sales teams in a business partner, enablement, or operations capacity
Deep, current knowledge of the AI/ML landscape — what is achievable, what is emerging — with the intellectual drive to keep pace with a fast-moving field
Proven, hands-on record of building personal AI/ML productivity solutions: identifying a real problem, configuring a tool or approach, and deploying a working solution that changed how they work.
Ability to navigate and apply internal AI usage policies and Sales compliance frameworks, and communicate those constraints clearly across audiences
Fluent in English and Portuguese

Nice To Haves

Experience extending that personal builder mindset to teams or groups — guiding others through AI/ML productivity solutions beyond individual use
Hands-on experience with process mapping tools (e.g., Lucidchart, Miro, Visio)
Formal grounding in process improvement frameworks — Lean, Six Sigma, Agile, or human-centered design
Change management certification (e.g., Prosci, CCMP) or equivalent training
Experience feeding field requirements back into an engineering or product development process
Background in a technology company or enterprise digital transformation program
Spanish proficiency

Responsibilities

Conduct deep, structured mapping of Sales workflows, capturing formal steps, informal practices, workarounds, and cross-team interdependencies
Apply structured process improvement disciplines to identify inefficiencies and redesign workflows for measurable impact, including through technology
Continuously refresh process documentation as operations, tools, and team needs evolve
Build trusted relationships across diverse Sales teams — field, inside, operations, account management, and partner channels — to understand each group's unique context and working style
Run discovery sessions and ongoing listening programs that go beyond surface requirements to uncover how work truly gets done
Act as a continuous voice-of-the-field, detecting operational shifts and evolving priorities in real time
Think transformationally — help Sales teams envision work that is fundamentally different, not just faster
Evaluate and prioritize AI/ML opportunities by transformational impact, feasibility, and team readiness
Maintain deep, current knowledge of what AI and ML are actually capable of delivering and invest proactively in staying ahead of the field.
Serve as the primary field intelligence partner to engineering and AI/ML teams — maintaining a structured feedback loop throughout the full development lifecycle
Surface process shifts, edge cases, and business changes that must feed back into solution design before they become blockers
Translate field realities into precise technical inputs and technical constraints into business-relevant language
Own the integration of AI/ML solutions back into live team processes — redesigning workflows around new capabilities, not bolting tools onto old ones
Create and maintain functional specifications —the "job descriptions”— for every AI tool or agent deployed, in partnership with the CoE Lead: purpose, scope, behaviors, workflow interaction points, and success criteria from the user's perspective
Manage the ongoing business-side lifecycle of deployed tools — in partnership with the CoE Lead, who owns the technical agentic lifecycle (training, architecture, orchestration, versioning): operational health, behavioral drift, updates, and continued fit to team needs
Execute human-centered change programs that address the emotional and practical journey of transformation — building genuine conviction, not just compliance
Bring and instill authentic enthusiasm for what AI makes possible — helping teams feel the excitement of transformation, not just the weight of it
Cultivate change champions within Sales teams to sustain adoption momentum from the inside
Apply Apple's internal AI policies and Sales compliance requirements as an active design filter from day one — and proactively monitor for updates