Latin America (ALAC) AI Business Process Champion

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.


DESCRIPTION


Process Mapping & Improvement - 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 Sales Team Immersion - 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 AI/ML Opportunity Identification - 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. Continuous Technical
Partnership - 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 Solution Integration & AI Tool Lifecycle - 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 Change Management & Governance -
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


MINIMUM QUALIFICATIONS


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


PREFERRED QUALIFICATIONS


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