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Data & Analytics Leadership · Operating Models · Transformation

I turn fragmented data and processes into systems companies & organizations can actually run on.

I lead data, analytics, and transformation programs — and fix the operating model underneath: who owns the numbers, how decisions get made, and whether what gets built actually gets adopted. 15 years across Amazon and Roche, from continuous improvement to governed data products.

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Madrid, Spain · San José, Costa Rica View work →
15+

Years across data, operations, and transformation

Engineering, analytics, operational excellence, programs, products, and AI-enabled change

Enterprise

Global operating environments

From supply chain and customer operations to procurement, finance-adjacent planning, and data enablement

~$4M+

Annualized business impact influenced

Data products, planning systems, automation, governance, and decision mechanisms

Global

Teams and mechanisms built across regions

Distributed delivery across EMEA, APAC, and the Americas

Problems I solve

Different industries, same problem underneath

The bottleneck is rarely one tool, one dashboard, or one project. It is usually the system around the work: how data is defined, how decisions are made, who owns the rules, how teams execute, and whether people actually adopt what gets built. This is the work I am repeatedly brought in to fix.

Fragmented analytics, no single source of truth

Governed, reusable data products with clear ownership.

Proof: Roche case →

Fragile, person-dependent legacy reporting

Production-grade pipelines with tests, CI/CD, documentation.

Proof: Roche case →

No mechanism for prioritization or capacity

Operating rhythm tying work to ROI, headcount, risk, and senior-priority trade-offs.

Proof: Amazon case →

Slow, manual, costly processes

Data-backed continuous improvement systems with ownership, measures, and operating cadence.

Proof: Amazon CI system →

Teams stuck in legacy tools

Capability uplift to a modern stack plus people development.

Proof: Roche case →
Full capabilities →

Selected work

One pattern, different domains

View all work →

2026–present · Analytics & Insights Lead, Data Solutions

Roche Global Procurement Analytics Transformation

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.

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.

Data PlatformSnowflakedbt
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2022–2026 · Senior Manager, Data Products & Solutions

Amazon Data Products and Operating Mechanisms

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.

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.

Data ProductsPortfolio GovernanceOperating Mechanisms
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2016–2022 · Senior Program Manager and Manager, Continuous Improvement

Amazon Continuous Improvement at Scale

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.

Result

A governed continuous-improvement operating system across regions: portfolio visibility, shared standards, scorecards, and reusable decision mechanisms.

Continuous ImprovementLean Six SigmaOperating Mechanisms
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Writing

Field notes

All writing →

Ready to talk about the work?

If the bottleneck is the operating model behind the data, the portfolio, or the process, that is what I do.

Get in touch View my work