2026–present · Analytics & Insights Lead, Data Solutions
Roche (2026–present · Global Procurement, Analytics & Insights). Analytics spread across legacy SAP BW/HANA, Alteryx, and a thick layer of manual Excel.
Scope: 3 data engineers hired/secured in first 90 days · Snowflake + dbt/DataOps operating model approved and in progress
Leading the Roche Global Procurement analytics transformation from a fragmented SAP BW/HANA estate toward a governed Snowflake and dbt platform, replacing manual Excel and Alteryx workflows with analytics the business, IT, and finance can trust.
Leading a global procurement transformation program with roadmap planning, milestone tracking, RAID, decision logs, change control, and senior-leadership governance across Business, IT, Finance, analytics, and platform teams.
Turning fragmented procurement reporting demand into reusable spend and savings data products with defined users, metric ownership, validation paths, release criteria, support model, and adoption expectations.
Replacing undocumented logic, manual Excel and Alteryx workflows, shared accounts, and person-dependent knowledge with controlled process boundaries, lineage, validation, documentation, and release governance.
Migrating SAP BW/HANA, OPERA, Alteryx, Excel, and fragmented BI workflows into a governed Snowflake + dbt model with CI/CD, DEV/TEST/PROD controls, lineage, and data-quality checks.
Leading a multidisciplinary data organization through a major operating-model shift, coaching legacy domain experts, BI engineers, data engineers, and business stakeholders into clearer ownership and production-grade delivery.
Where it stands
Approved, in-progress mandate to move Roche Global Procurement analytics from SAP BW/HANA, Alteryx, and manual Excel to governed Snowflake + dbt data products with Business, IT, and Finance ownership.
Approved, in-progress work packages with visible scope, risks, owners, milestones, decisions, and executive escalation paths.
A product-oriented procurement analytics operating model for governed, reusable data products.
Documented controls for ownership, validation, lineage, release discipline, and legacy-to-Snowflake migration.
A Snowflake + dbt/DataOps foundation designed for trusted analytics, downstream BI, and future AI-ready data products.
Three data engineers hired/secured in the first 90 days, with clearer roles, standards, and onboarding expectations.
Data PlatformSnowflakedbt
Program GovernanceRAIDTransformation
Data ProductsAdoptionRoadmap
ControlsValidationOwnership
SnowflakedbtData Governance
Team LeadershipCapability BuildingChange
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2022–2026 · Senior Manager, Data Products & Solutions
Amazon (2014–2026). Global customer service organization with distributed teams and stakeholders across multiple regions, under VP-level scrutiny.
Scope: Team scaled 1.5 -> 10 FTE · ~$4M+ annualized business impact influenced
Owning the Amazon global portfolio of data products, BI, and AI automation for customer service operational excellence, and leading a multi-year operational planning system from concept to scaled adoption.
Owned roadmap, prioritization, execution cadence, dependencies, RAID, change control, release planning, and executive reporting for a global portfolio of data, BI, ML, and AI initiatives.
Built and scaled internal products for ROI estimation, workforce planning, AI coaching, and anomaly detection, turning shadow spreadsheets and legacy tools into adopted decision mechanisms.
Standardized workflows, quality gates, documentation, UAT, release readiness, support handoffs, and exception-based monitoring across planning, valuation, coaching, and operational analytics workflows.
Architected a cloud-native analytics and data-product family on Python/Streamlit + AWS, with Finance calculation parity, RAG coaching on Bedrock/Claude, MLOps patterns, and BI-ready planning data.
Scaled a cross-functional product and build team from 1.5 to 10 FTE, increasing technical capacity by 567% while improving engagement, communication, inclusion, direction-setting, and obstacle removal.
Result
~$4M+ annualized business impact influenced, a governed global portfolio, and planning mechanisms adopted across regions. Technical team scaled from 1.5 to 10 FTE.
A governed global portfolio aligned to senior-executive priorities, with clearer trade-offs, delivery commitments, and escalation paths.
ROI, workforce planning, and Coach Kai moved from fragile tools and expert-dependent workflows toward reusable internal products.
Repeatable delivery controls, quality gates, UAT, release readiness, support handoffs, and exception-based monitoring across products.
Python/Streamlit + AWS delivery patterns, RAG coaching on Bedrock/Claude, anomaly-detection work, reusable MLOps patterns, and governed analytics workflows.
Highest engagement scores in the department, top-quartile leadership behavior results, and 4.78/5.0 team communication effectiveness.
Data ProductsPortfolio GovernanceOperating Mechanisms
Portfolio GovernanceExecutive CadenceRAID
Internal ProductsAdoptionAI Products
Quality GatesUATAutomation
AWSStreamlitMLOps
Team ScalingCoachingEngagement
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2016–2022 · Senior Program Manager and Manager, Continuous Improvement
Amazon (2016–2022). European and global customer service operations across multiple sites and regions, with uneven maturity.
Scope: Cross-regional CI operating system · portfolio governance, scorecards, standards, and coaching mechanisms
Building the Amazon portfolio framework, data-backed scorecards, process standards, and operating mechanisms that aligned cross-regional continuous improvement teams and turned ad hoc problem-solving into operating discipline.
Designed and deployed a global continuous-improvement portfolio framework with scorecards, status reporting, risk reviews, collaboration models, and executive visibility across regions.
Converted portfolio and reporting needs into reusable decision-support products that helped leaders prioritize, compare work, allocate resources, and act from shared metric definitions.
Standardized project workflows, problem-solving templates, KPI definitions, standard work, visual management, and collaboration models so improvement became an operating discipline rather than isolated Kaizen activity.
Built analytics and BI frameworks using Power BI, Tableau, QuickSight, KPI scorecards, and tracking mechanisms to improve prioritization, resource allocation, and performance visibility.
Led cross-regional continuous-improvement teams and coached Kaizen Promotion Officers in structured problem solving, stakeholder communication, project delivery, and measurable operational outcomes.
Result
A governed continuous-improvement operating system across regions: portfolio visibility, shared standards, scorecards, and reusable decision mechanisms.
A governed improvement portfolio with clearer priorities, ownership, dependencies, risks, and leadership visibility across regions.
Reusable reporting and decision-support mechanisms that gave leaders a common way to compare performance and act.
Standardized improvement routines and controls that made gains more repeatable, visible, and sustainable.
Dashboards, scorecards, and KPI frameworks that raised data quality and improved data-informed decisions for regional and country leaders.
Stronger improvement capability across teams through coaching, standards, regional mechanisms, and local team leadership.
Continuous ImprovementLean Six SigmaOperating Mechanisms
Portfolio ManagementGovernanceExecution
Decision SupportScorecardsAdoption
Lean Six SigmaStandard WorkControls
Power BITableauKPI Frameworks
CoachingRegional TeamsKaizen
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