Experience
Selected work, organised by problem.
14+ years in technology, including 10+ years across U.S. enterprise environments — healthcare, insurance, financial services, retail, payments and enterprise SaaS.
Trusted Data & Governance
J&J
Enterprise data marketplace · governance · access · metadata
J&J
Enterprise data marketplace · governance · access · metadata
Product work around an enterprise data marketplace, covering governance, data access and metadata.
- — [Placeholder] Context of the engagement and your role.
- — [Placeholder] The problem you were working on.
- — [Placeholder] What you contributed — add facts only, no estimated metrics.
Citi
Data catalog onboarding · metadata · lineage · governance
Citi
Data catalog onboarding · metadata · lineage · governance
Data catalog onboarding work spanning metadata, lineage and governance.
- — [Placeholder] Context of the engagement and your role.
- — [Placeholder] The problem you were working on.
- — [Placeholder] What you contributed — add facts only, no estimated metrics.
Farmers Insurance
MDM · Customer 360 · entity resolution proof of concept
Farmers Insurance
MDM · Customer 360 · entity resolution proof of concept
Master data management and Customer 360, including an entity resolution proof of concept.
- — [Placeholder] Context of the engagement and your role.
- — [Placeholder] The problem you were working on.
- — [Placeholder] What you contributed — add facts only, no estimated metrics.
Enterprise Product Platforms
Paycor
Enterprise product ownership · Salesforce · AI-enabled product work
Paycor
Enterprise product ownership · Salesforce · AI-enabled product work
Enterprise product ownership involving Salesforce and AI-enabled product work.
- — [Placeholder] Context of the engagement and your role.
- — [Placeholder] The problem you were working on.
- — [Placeholder] What you contributed — add facts only, no estimated metrics.
AI / ML Product Work
CVS
Predictive · recommendation product work
CVS
Predictive · recommendation product work
Product work on predictive and recommendation use cases.
- — [Placeholder] Context of the engagement and your role.
- — [Placeholder] The problem you were working on.
- — [Placeholder] What you contributed — add facts only, no estimated metrics.
Walmart
Large-scale retail ML product work
Walmart
Large-scale retail ML product work
Product work on machine-learning use cases in large-scale retail.
- — [Placeholder] Context of the engagement and your role.
- — [Placeholder] The problem you were working on.
- — [Placeholder] What you contributed — add facts only, no estimated metrics.
Payments & Enterprise SaaS
Fiserv
Payments
Fiserv
Payments
[Placeholder] Describe the payments engagement.
- — [Placeholder] Context of the engagement and your role.
- — [Placeholder] The problem you were working on.
- — [Placeholder] What you contributed — add facts only, no estimated metrics.
Cinch
[Placeholder] Domain
Cinch
[Placeholder] Domain
[Placeholder] Describe the engagement.
- — [Placeholder] Context of the engagement and your role.
- — [Placeholder] The problem you were working on.
- — [Placeholder] What you contributed — add facts only, no estimated metrics.