Data & AI Program Manager

Tiffany Johnson

For over a decade I've driven digital transformation across banking and fintech. Today, at a global financial services firm, I oversee strategic partnerships and performance for AI, automation, and analytics platforms: managing vendors, aligning delivery with governance, risk, and audit, and keeping executive leadership clear on progress, risks, and decisions. In 2026 I taught myself to build AI hands-on, shipping several production systems end to end, so I bring both halves of a data and AI program: the discipline to run it, and the hands-on understanding of what is being built.

Lead the program  ·  understand the build  ·  deliver the outcome

Program Manager, AVP in financial services, focused on data and AI delivery
10+ years in fintech & banking Digital transformation, process optimization, and regulatory program delivery.
Program Manager, AVP At a global financial services firm, overseeing AI, automation, and analytics platforms and vendors.
Builds AI hands-on Self-taught in 2026; shipped several production AI systems end to end.

About

I have spent more than a decade leading programs in banking and fintech: enterprise and regulatory delivery, process optimization, vendor and partnership management, and executive stakeholder communication. Today, as a Program Manager, AVP at a global financial services firm, I oversee strategic partnerships and performance management for key AI, automation, and analytics platforms.

My hands-on AI building is recent and deliberate. In 2026 I taught myself to build and shipped several production AI systems end to end. I did that so I would understand these systems from the inside, not only sponsor them: what is feasible, where the risk sits, and where AI genuinely helps versus where it is hype.

That combination is the point. I can run a data and AI program with real delivery discipline in a regulated environment, and I can also read the build, pressure-test the estimates, and keep controls and human oversight where they belong.

Experience

Program Manager, AVP · Global Financial Services

Oversee strategic partnerships and performance management for key AI, automation, and analytics platforms. Lead vendor selection, contract negotiation, and service delivery oversight, and report financial performance metrics to executive leadership. Implemented a software license tracking solution that cut software expenses by 20%.

Business Office Consultant, AVP · National Bank

Analyzed invoices exceeding $16M monthly for accuracy and compliance, identifying cost savings from incorrect billing, duplicate charges, and misapplied taxes. Used automation and advanced reporting to consolidate financial data sources for finance teams.

Project Manager · National Bank

Led enterprise-wide projects aligned with strategic initiatives and regulatory mandates, interfacing with Operational Risk, Wholesale AML, Compliance, and Data Office teams to drive cross-functional coordination and regulatory compliance.

Project Manager / Scrum Master · Fintech Consultancy

Managed a portfolio of 20+ concurrent fintech software projects and served as Scrum Master for two agile teams, coaching Scrum and agile practices across cross-functional teams through the full delivery lifecycle.

IT Project Manager · Global Hospitality Company

Led a mobile checkout rollout across 80+ hotels in Greater China and 250+ in Europe, and managed deployments into the Property Management System for 3,000+ hotels on budgets of $500K to $1M.

Education & certifications: BS, Computer Information Systems, Florida A&M University. SAFe Agilist (SA), Certified Scrum Professional (CSP), Certified Scrum Product Owner (CSPO), Certified ScrumMaster (CSM), Alteryx Foundation.

AI I have built

AI Morning-Brief Assistant

Turns overnight email into one prioritized page each morning

The problem

Busy owners drown in overnight email, and nothing surfaces what actually needs a person before the day starts.

What I built

A backend that connects to mailboxes and each morning produces one page: the overnight messages that genuinely need a person, the commitments already made, and what is due today, with a single recommended focus.

Controls & oversight

Model output is treated as untrusted: every call has a typed contract, validation, and a safe fallback, so failures stay contained. Rules run before the model to control cost, and every extracted item is traceable back to its source.

Status

Built and in daily use across my own applications, kept as a working tool rather than released as a product. The read-and-brief pipeline and per-account scheduling are in use; the ask-your-inbox retrieval and daily focus ranking continue to be refined.

TypeScriptNext.jsPostgreSQLLLM agentsDocker

AI Retailer Outreach Tool

Personalized outreach at scale, human-reviewed

The problem

Generic outreach gets ignored, and personalizing it by hand does not scale.

What I built

A tool that researches each recipient and drafts tailored outreach, with a human approval gate before anything is sent.

Controls & oversight

A person reviews and approves every message. Generation is auditable and reviewable, and the system never sends autonomously, a deliberate design choice, not a limitation.

Outcome

A live product delivering tailored outreach at volume with human sign-off, so relevance scales without becoming spam.

TypeScriptSupabasePostgreSQLPrompt engineering

Listing Optimization Engine

Structured, search-ready copy from live data

The problem

Weak product listings lose sales, but rewriting them for search and conversion is slow and inconsistent.

What I built

An engine that pulls a live listing and generates optimized copy mapped to each field, in a web app with billing in place.

Controls & oversight

Grounded in real listing data rather than free generation, with model output coerced into a strict schema the product validates, and quality judged rather than assumed.

Outcome

A live app that turns a raw listing into structured, search-ready copy in a single pass.

TypeScriptNext.jsPostgreSQLExternal data APIsStripe

See all my AI work in depth →

Why this combination

The common risk on a data and AI program is a leader who can manage a plan but cannot tell whether the AI underneath is sound, or a builder who cannot run a program. I already run programs over AI and automation platforms inside a regulated bank, and I have shipped AI myself. So I can align stakeholders, pressure-test feasibility and risk, keep the right controls and human oversight in place, and land the outcome.

Skills

Program & delivery

Program and project management, SAFe and Agile/Scrum, vendor and contract management, regulatory and compliance delivery, process optimization, executive stakeholder communication, forecasting and resource planning

Data & AI

Hands-on AI (LLM agents, prompt engineering, structured output and reliability, human-in-the-loop design, TypeScript, SQL), data and analytics tooling (Alteryx, Tableau, SQL Server), and program oversight of AI, automation, and analytics platforms