01
Define the Physical AI Thesis
Clarify how AI, edge compute, digital twins, and real-time industrial data change the operating model and where leadership should focus investment.
AWS · Global Manufacturing, Supply Chain & Physical AI
Industrial AI that actually ships — at AWS scale.
Two decades — eight years at AWS, eight at IBM — turning the hardest manufacturing and supply-chain problems into board-ready strategy and measurable outcomes. The proof: $1.3B+ in enterprise revenue, published AWS reference architectures, a re:Invent keynote, and a 2025 MotorTrend Innovator Award for transforming BMW.
VP Product
Director / VP AI Transformation
Head of Industrial Platforms
Manufacturing & Supply Chain AI Leader
$1.3B+ RevenueBooked enterprise revenue across global AI, cloud, and industrial transformation programs.
$900M+ InfluenceStrategic initiatives shaping adoption of data, AI, digital platforms, and industrial systems.
$100M+ ValueOperational value opportunities across logistics, manufacturing, and real-time decisions.
AWS Global LeaderGlobal Head of Manufacturing, Supply Chain & Physical AI platform strategy.
Enterprise PartnersBMW, Toyota, Bosch, Aptiv, Corning, ISVs, system integrators, and hyperscalers.
Recognition & Proof
MotorTrend 2025Software-Defined Vehicle Innovator Award — for transforming BMW with generative AI.
AWS re:InventKeynote speaker — real-time factory decision support (IOT304).
Published at AWSSole-author reference architecture: legacy MES → event-driven microservices.
MX.0 SoutheastFeatured speaker (2025) and a co-session with BMW on the agentic factory.
24 YearsAWS and IBM — sustained enterprise leadership, not a recent pivot.
Executive Mandate
The value is not another dashboard. It is enterprise-scale Physical AI.
Two decades at AWS and IBM leading enterprise-scale transformation: defining the strategy, aligning the ecosystem, and converting emerging technology into funded, measurable business outcomes.
02
Architect the Platform Path
Translate manufacturing and supply chain complexity into reference architectures, reusable solution patterns, and scalable platform capabilities.
03
Commercialize the Ecosystem
Connect OEMs, ISVs, SIs, hyperscalers, enterprise customers, product teams, and sales teams around a clear value-based GTM motion.
Signature Work
AWS-scale industrial transformation, proven on the floor.
At AWS, Tolla leads global initiatives across manufacturing, supply chain, Physical AI, digital twins, simulation, edge compute, industrial platforms, and partner ecosystems. The work connects cloud, AI, operational systems, and enterprise customers into repeatable adoption patterns.
At AWS she publishes the reference architectures others build from — sole author of the AWS guidance on refactoring legacy MES into event-driven microservices — keynoted re:Invent on real-time factory decision support, and helped transform BMW with generative AI and a data-first strategy, earning MotorTrend’s 2025 Software-Defined Vehicle Innovator Award.
Industrial SystemsManufacturing, logistics, supply chain, robotics, and plant-floor reality.
Simulation LayerDigital twins, Unreal, Unity, Omniverse, and high-fidelity operating context.
Physical AI StrategyWhere ecosystem GTM, platform architecture, and operational value converge.
Executive AdoptionC-suite narratives, investment priorities, and commercial execution.
Partner EcosystemBMW, Toyota, Bosch, Aptiv, Corning, ISVs, SIs, and hyperscalers.
Transformation Playbook
A leader who can move from strategy to shipped enterprise motion.
One execution model, proven across BMW, Toyota, Bosch, and global AWS programs: define the future state, architect the platform, align executives and partners, enable sales and product teams, and scale repeatable adoption.
01
Frame
Turn ambiguous industrial opportunity into a clear transformation thesis and value narrative.
02
Architect
Design the Physical AI, edge, simulation, data, and platform patterns that can repeat.
03
Align
Bring C-suite stakeholders, engineering, product, sales, partners, and customers into one motion.
04
Commercialize
Translate technical capability into solution narratives, enablement, value frameworks, and GTM plays.
05
Scale
Move from custom work to repeatable architectures, deployment models, and enterprise adoption.
Leadership System
Executive range across strategy, product, technology, and GTM.
Both a technical transformation leader and a commercial ecosystem builder — the rare range that lets one executive own the strategy, the platform, and the revenue motion.
Global Head of Manufacturing, Supply Chain & Physical AI
A crisp executive story built from AWS-scale platform leadership, Physical AI strategy, partner ecosystem development, and high-stakes industrial transformation.
S
StrategyDefines transformation strategy, investment priorities, and board-ready business narratives.
AI
Physical AIConnects real-world operations with digital twins, simulation, agents, and edge intelligence.
G
GTMBuilds scalable commercialization motions with partners, sales, product, and enterprise customers.
E
ExecutionLeads cross-functional teams through ambiguity toward measurable, transformation-scale results.
Board-Level Communication
Translates complex AI, cloud, edge, and industrial platform decisions into business outcomes, investment logic, and long-term P&L relevance.
Product & Platform Discipline
Turns emerging technology into standardized reference architectures, reusable solution patterns, and platform capabilities that can scale.
Industrial Ecosystem Fluency
Bridges infrastructure providers, software platforms, OEMs, ISVs, system integrators, and enterprise operators around a common motion.
Role Fit
Where this leadership delivers the most.
Four mandates where the record maps directly: industrial AI, platform strategy, transformation execution, and ecosystem commercialization.
VP Product
Turning AI, edge, digital twin, and industrial platform complexity into a coherent product business — the way published AWS reference architectures turned custom work into repeatable adoption.
Director / VP, AI Transformation
Owning transformation end to end — aligning executives, technology teams, partners, and operating groups, as proven inside BMW’s award-winning generative AI transformation.
Head of Industrial Platforms
Bringing cloud, AI, edge compute, simulation, industrial systems, and GTM into one accountable platform motion — the mandate held today as a global leader at AWS.
Manufacturing & Supply Chain AI
Delivering AI-driven visibility, decisions, and operational value for manufacturing, logistics, robotics, and supply chain — with $100M+ in operational value already identified.
Executive Impact
Impact measured in enterprise terms.
Not a list of duties — revenue booked, roadmaps shaped, and operational value identified across global AI, cloud, and industrial programs.
Revenue Architecture
Orchestrated and supported global AI, cloud, and industrial transformation programs tied to enterprise-scale commercial outcomes.
$1.3B+Booked enterprise revenue across global programs
Strategic Influence
Defined and shaped roadmaps for data, AI, digital platforms, and Physical AI adoption across complex enterprise environments.
$900M+Strategic initiatives influenced
Operational Value
Identified value through optimization of logistics, manufacturing, real-time operational visibility, and AI-driven decision systems.
$100M+Operational value opportunities identified
In Their Words
“Not just a ‘Think Big’ person — a ‘Think Huge’ person who consistently envisions what others miss. She turns initial concepts into multi-year opportunities and earns the trust of clients and colleagues alike.” Sridhar Mahadevan · Cloud Solutions Architect, 6× AWS Certified — worked with Tolla at AWS
“She bridges cutting-edge technology with real-world industry needs. Her smart-manufacturing work at BMW earned MotorTrend’s 2025 SDV Innovator Award — innovation that matters in practice, not just theory.” Lavender Lei Li — collaborated on the AWS Automotive & Manufacturing team
Next Conversation
Ready to lead industrial AI transformation at enterprise scale.
I am strongest where the organization needs more than a project owner: it needs a strategist, platform builder, commercial translator, and operating leader who can make industrial AI credible enough to fund and practical enough to scale. Atlanta, GA | TollaCherwenka.com | LinkedIn