I design the governance frameworks, stewardship programs, and data quality controls that let Fortune 500 organizations trust the data behind every decision, from the data catalog to the boardroom.
Trustworthy data isn't a byproduct of good business — it's the foundation of it.
I'm a data governance, stewardship, and data quality consultant with over four years of experience designing the frameworks that let large organizations trust — and act on — their own data. As a Senior Consultant at Capgemini, I've led governance engagements for Fortune 500 companies across hospitality, industrial manufacturing, pharmaceuticals, gaming, rail, and consumer goods, building the roles, policies, and stewardship structures that turn scattered data into a managed asset.
My work sits at the intersection of policy and practice: writing the rules that govern how data is defined, owned, and used, then building the tools and training that make those rules actually stick. That combination — clear policy, workable process, and buy-in from the people who touch the data every day — is what turns a governance program from a binder on a shelf into something an organization actually runs on.
Metadata curation for the enterprise data catalog was entirely manual — about two asset descriptions per minute — done in spreadsheets, then re-keyed into the catalog. Stakeholder sign-off was slow, deadlines slipped, and stale metadata was eroding trust in the platform itself.
Design an AI-assisted validation process within six hard constraints: no new budget, one month to deliver, zero disruption to adoption, full compliance with existing governance and security standards, and no changes to the current tech stack.
Indiana University, Bloomington, IN
Open to conversations with organizations building out or strengthening their data governance function — whether that's a first hire, a stalled program, or a team that needs a steady hand.