Align Teams
Build trust, clarify priorities, and align teams around a shared purpose and measurable goals.
Executive Summary
AI-driven transformation and enterprise operations leadership.
Senior technology and operations leader with 20+ years of experience driving enterprise-scale transformation across AI-adjacent systems, automation, data infrastructure, and global digital platforms. Proven track record of leading large organizations through operational modernization, using data intelligence, workflow automation, and systems integration to improve efficiency, scalability, and decision quality.
Recognized for building AI-ready operational foundations: modernizing legacy systems, enabling predictive insights, reducing manual processes, and aligning cross-functional teams around data-driven execution. Leads at senior manager level with enterprise-wide scope spanning enterprise IT, commerce platforms, supply chain systems, and global infrastructure environments.
- CurrentAmazon — Senior Manager, Content Operations
- ScopeGlobal, multi-business-unit
- Experience20+ years, enterprise scale
- FocusAI-enabled operations & modernization
A rare combination of enterprise systems expertise, operational discipline, and AI-ready transformation capability. It is most valuable in organizations moving from manual, fragmented operations to automated, insight-driven ecosystems that scale efficiently in complex global environments.
Professional Experience
Two decades across enterprise technology and operations.
Senior Manager, Content Operations Management
Amazon · Seattle, WA
2022 – Present
Enterprise transformation leader driving digital operations, system modernization, and data-enabled decision-making across global business units.
- Directed enterprise portfolio of digital transformation initiatives across IT systems, content platforms, and supply chain operations.
- Led modernization of enterprise systems (ERP, CMS, supply chain platforms) to improve data integration and reduce manual workflows.
- Implemented KPI-driven dashboards enabling real-time operational intelligence and executive visibility.
- Delivered multimillion-dollar cost efficiencies through automation, system consolidation, and vendor optimization.
- Improved forecasting accuracy and operational performance through data-driven planning and structured governance models.
- Increased adoption of enterprise systems through change management, training, and executive alignment strategies.
AI-relevant impact: Built foundational infrastructure for scalable automation, operational intelligence, and enterprise data visibility.
Project Governance & Execution Manager
King County · Seattle, WA
2020 – 2022
Department of Executive Services, Business Resource Center — Financials and Procurement Services. Supervised the team optimizing and maintaining King County's ERP financials and procurement systems.
- Managed a global remote team of 20 (4 business analysts, 1 project manager, and 15 contractors across the US and India), owning hiring, performance management, coaching, and career development.
- Accountable for project governance intake, prioritization, and implementation of multi-million-dollar ERP programs spanning Oracle EBS, Oracle Cloud SaaS, Concur, and financial, procurement, and supply chain systems.
- Led standardization, optimization, and extension of the Oracle EBS platform while sustaining quality assurance practices.
- Built consensus across steering committees, business partners, and stakeholders to reconcile competing priorities into recommended ERP solutions.
- Grew Oracle EBS, Oracle Cloud, and ERP subject-matter expertise across customer-centric management and governance teams.
- Pioneered a fully remote virtual team environment in response to COVID requirements.
AI-relevant impact: Established the ERP data and governance foundations that automation and predictive insight depend on: standardized financial, procurement, and supply chain systems.
Career interlude
Relocation and property renovation
2018 – 2020
Relocated to Washington State and completed a full property renovation before returning to enterprise systems leadership.
Team Lead, Program Management — Services Operations Enablement
Cisco Systems · San Jose, CA
2015 – 2018
- Managed global team of program managers and analysts driving enterprise commerce and systems transformation.
- Defined global commerce enablement policies for SaaS and software offerings generating $180M per quarter.
- Applied data mining and early analytics techniques to identify system inefficiencies and improve infrastructure reliability.
- Led cross-functional alignment across product, IT, finance, and operations teams to scale enterprise platforms.
AI-relevant impact: Early adopter of data-driven optimization and systems intelligence to improve enterprise platform performance.
Program Manager, Service Commerce
Cisco Systems · San Jose, CA
2013 – 2015
- Designed end-to-end commerce enablement systems including portal architecture, SKU intelligence, and segmentation models.
- Conducted advanced data analysis to identify underperforming services and recommend lifecycle decisions.
- Eliminated 500,000+ service SKUs through data-driven rationalization and systems simplification.
- Developed service quality scorecards and performance measurement frameworks.
AI-relevant impact: Built early enterprise decision-intelligence systems using structured data and operational analytics.
Additional Experience
- IT Service Delivery Manager (Cisco consulting engagement)
- Senior Account Executive
- Global WAN/LAN Project Manager
Core Expertise
Where I create leverage.
Leadership across technology, enterprise operations, commerce platforms, infrastructure, and global transformation programs, translating complex environments into structured, measurable systems.
Drive Growth
Create the strategies, operating models, and systems that fuel sustainable, scalable growth.
Deliver Impact
Execute with discipline, adapt with insight, and deliver results that strengthen the enterprise.
AI & Data Intelligence
- AI-Enabled Operations Strategy
- Data-Driven Decision Systems
- Predictive Operations
- Process Intelligence
- Operational Analytics
Transformation & Systems
- Enterprise Digital Transformation
- Enterprise Platform Modernization
- ERP Systems — Oracle EBS & Cloud
- Systems Integration
- Automation & Workflow Optimization
- Cloud & SaaS Ecosystems
Leadership & Governance
- Cross-Functional Leadership
- KPI & Performance Intelligence
- Operational Governance
- Change Management & Adoption
- Executive Alignment
Executive Portfolio
Four programs, four different problems.
Each case study below covers a distinct kind of enterprise problem: building the operational foundation for AI, integrating fragmented operations, running commerce systems at global scale, and removing complexity from a sprawling catalog.
AI & Data IntelligenceFoundations that make AI workArchitecture, ROI modeling, and pilot design for an AI-enabled performance management layer.TransformationFragmented to integrated operationsERP and process modernization across finance, procurement, and supply chain.CommerceCommerce systems at global scaleThe platforms and operations behind $180 million per quarter in software revenue.ScaleComplexity removed at scaleData-driven rationalization across a catalog of more than 500,000 SKUs.
AI-Driven Transformation
Building the operational foundations that make AI work.
AI delivers value only when the operations beneath it are clean, connected, and governed. I focus on that groundwork by consolidating fragmented systems, standardizing data, and automating manual process, so intelligent tooling has something reliable to run on.
Automation & Process Intelligence
Replaced manual, error-prone workflows with automated processes, cutting cycle times and freeing teams for higher-value work.
Data & System Consolidation
Rationalized redundant platforms and SKUs into unified systems of record, creating the trusted data layer AI and analytics depend on.
Decision Intelligence
Delivered performance visibility that moved leadership from reactive reporting to faster, evidence-based decisions.
Together, this work produced multimillion-dollar efficiency gains through automation, system consolidation, and vendor optimization.
Applied AI Case Study
Impact Chain
An AI-enabled performance management layer, taken from problem definition through architecture, ROI modeling, and pilot design.
Independent workDeveloped and submitted as coursework, UC Berkeley Executive Education
The problem
Organizations set goals at individual, team, and enterprise levels, but goal data sits fragmented across spreadsheets and disconnected tools, measured inconsistently and reviewed too infrequently to allow course correction. Without a unified, role-based view, accountability erodes and off-track goals go undetected until it is too late to intervene.
Solution architecture
Rather than replacing existing systems, an LLM and API layer sits above them, ingesting, standardizing, and interpreting data in real time.
- 01
Ingest & Standardize
Pull from disparate HR, project, and operational systems into one consistent format.
- 02
Analyze & Predict
Continuously monitor goal progress and flag risks before they escalate.
- 03
Deliver Insights
Surface role-tailored recommendations to managers, HR, and executives in context.
Model selection
A phased, multi-model approach, with each technique chosen for a specific job rather than defaulting to a single model.
Supervised Learning
Trains on historical goal data to predict completion likelihood and flag at-risk outcomes.
Unsupervised Learning
Discovers performance patterns across teams, roles, and timeframes that structured queries would miss.
Large Language Models
Translates data signals into actionable narratives, coaching prompts, and executive-ready reporting.
Governance & human oversight
- Human control. Leaders validate recommendations and retain final authority on every performance decision.
- Ethical safeguards. Bias detection, fairness audits, and explainability protocols built into the model rather than added afterward.
- Trust & adoption. Change management, transparent model reasoning, and continuous education treated as delivery requirements.
Validation before scale
A/B testing against matched cohorts running traditional performance management, measuring goal completion, engagement, and manager responsiveness across a 3–6 month pilot before any enterprise deployment.
Value baseline
Pricing starts from one measured quantity: the hours a senior manager actually spent assembling goal and talent reporting, priced at a loaded labor rate of $88.94 an hour.
| Reporting cadence | Manual | With Impact Chain | Saved |
|---|---|---|---|
| Bi-weekly coaching updates26 per year | 104 hrs | 13 hrs | 91 hrs |
| Weekly business reviews52 per year | 260 hrs | 26 hrs | 234 hrs |
| Monthly business reviews12 per year | 60 hrs | 6 hrs | 54 hrs |
| Quarterly VP talent package4 per year | 32 hrs | 12 hrs | 20 hrs |
| Total, one manager seat | 456 hrs | 57 hrs | 399 hrs |
399 hours recovered a year, worth roughly $35.5K per manager seat in loaded labor. Weekly reviews drive most of it, so the figure is sensitive to that assumption: if the tool takes an hour rather than 30 minutes per weekly review, the total falls to about $33.2K.
From value to price
- 01
Buyer value
$35.5K
Per manager seat, per year, from the baseline above.
- 02
Seat list price
$1,100–$1,800
Captures 3–5% of that value, leaving the remainder as the buyer's return.
- 03
Year-one contract
$38K–$1.4M
Seats plus implementation, packaged by deployment size.
Modeled contract value
Team
$38K–$100K
10–25 seats supported
Business Unit
$125K–$350K
26–150 seats supported
Enterprise
$500K–$1.4M
151–1,200 seats supported
Year-one figures are modeled projections from the pricing analysis, not realized revenue. Each is annual license plus one-time implementation, ranging from the entry package to the premium package per segment. Every segment offers Good, Better, and Best packages that differ in bundled seats, implementation depth, and support level. Seat ranges show the deployment sizes each segment supports, not the seats bundled in a single package: seats beyond a bundle are added at per-seat list price, so a size between bundles is quoted as a bundle plus add-on seats rather than a separate tier.
Transformation Impact
From fragmented operations to integrated, insight-driven ecosystems.
Four areas where my work has consistently moved organizations from manual, siloed execution to measurable, automated performance.
AI-Ready Platform & Systems Transformation
- Led enterprise-wide modernization of ERP, CMS, and supply chain platforms, enabling integrated data visibility and automation across business units.
- Established KPI dashboards and performance intelligence frameworks that enabled real-time, data-driven executive decision-making.
- Reduced operational cycle times through workflow automation, system consolidation, and process re-engineering.
Automation, Data Intelligence & Predictive Operations
- Delivered multimillion-dollar efficiency gains through automation of manual processes and optimization of enterprise workflows.
- Leveraged quantitative and qualitative analysis across multiple domains to identify system inefficiencies and drive corrective action.
- Built structured analytics frameworks to improve forecasting reliability, operational throughput, and service performance.
Enterprise-Scale Commerce & Digital Ecosystem Design
- Designed and scaled global commerce enablement systems supporting $180M per quarter in software revenue across SaaS, licensing, and subscription models.
- Eliminated 500K+ redundant SKUs through data-driven product rationalization and system simplification.
- Developed tiered service and support models using segmentation logic to improve customer experience and scalability.
Operational Intelligence, Governance & Alignment
- Led cross-functional teams across IT, engineering, product, finance, and supply chain to align enterprise systems with business intelligence needs.
- Built governance models and structured decision frameworks to support large-scale transformation initiatives.
- Improved organizational execution by embedding data-driven prioritization, KPI tracking, and performance feedback loops.
$180M Per Quarter
Commerce systems built for global scale.
At Cisco Systems, designed and scaled the global commerce enablement systems behind $180 million per quarter in software revenue, spanning SaaS, licensing, subscription, service, and support models.
- Defined the global commerce enablement policies governing how SaaS and software offerings were sold, packaged, and supported worldwide.
- Architected end-to-end commerce systems including portal architecture, SKU intelligence, and customer segmentation models.
- Developed tiered service and support models using segmentation logic to improve customer experience while containing operational cost.
- Aligned product, IT, finance, and operations organizations around a single commerce operating model.
500K+ SKUs
Complexity removed at enterprise scale.
At Cisco Systems, eliminated more than 500,000 redundant service SKUs through data-driven rationalization, simplifying enterprise systems while improving operational clarity and scalability.
- Applied advanced data analysis to identify underperforming services and recommend lifecycle decisions.
- Rationalized redundant catalog structures into unified, maintainable systems of record.
- Developed service quality scorecards and performance measurement frameworks to sustain the simplification.
- Applied systems thinking to reduce complexity while increasing scalability across SaaS, licensing, and subscription models.
Education & Certifications
Formal foundation and continued development.
Education
- BS, Anthropology
Certifications
- Artificial Intelligence: Business Strategies and Applications
- Project Management Certification
- Lean Six Sigma Green Belt
- ITIL Fundamentals
- Scrum Master
- PMP Bootcamp
Contact
Start a conversation.
Open to senior manager and director-level roles in enterprise operations, digital transformation, and AI-enabled modernization.
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