AI transformation · Process intelligence · Product delivery

I turn messy operations into decisions people can act on.

I'm Nora Papazyan—a product and transformation leader who connects people, process data and applied AI. Now I'm taking that work to Dubai.

See what I do
Yerevan → St Petersburg → Moscow → DubaiAvailable for UAE opportunities
01 / WHO I AM

I'm interested in the work behind the workflow.

I have spent more than fourteen years moving between product, programme delivery, organisational change and entrepreneurship. The titles changed; the question stayed the same: what is really stopping good work from moving?

I'm not a transformation leader who arrives with a template. I listen, follow the data, build a shared language around the problem, and turn it into a decision people can make together.

“The gap between strategy and reality is usually full of small, invisible friction. That is where I like to work.”
02 / WHAT I DO

From hidden friction
to visible value.

I work where business ambition, operational detail and technology meet.

01

Find the real problem

Map the process people actually live—not only the process drawn on paper.

02

Make the invisible measurable

Use operational data, process mining and careful metrics to expose loss, rework and delay.

03

Turn insight into movement

Shape pilots, value cases and decisions that teams can test, adopt and improve.

Selected work · Banking

Process Intelligence
at enterprise scale

A decision-support approach that extends traditional process mining with business impact, helping leaders see where delivery time is lost—and where intervention is worth it.

6,000+Jira signals analysed
50streams in pilot scope
~200teams represented
AI + PIanalysis approach
THE SIGNAL

Delivery problems were visible as anecdotes, not as a system.

THE BUILD

Event data, NLP and LLM-assisted categories revealed recurring patterns.

THE DECISION

A business-impact layer connected friction to ROI and prioritised action.

03 / HOW I WORK

Close to the work.
Clear about the value.

I combine an executive view with hands-on investigation. The goal is not a perfect transformation deck. It is a useful change that survives contact with real work.

  1. 01
    Listen

    Understand the lived workflow and the tension behind the request.

  2. 02
    Model

    Build a shared, evidence-based picture of the process and its constraints.

  3. 03
    Find leverage

    Separate noise from the interventions with plausible business value.

  4. 04
    Pilot

    Move from analysis to a testable solution with clear ownership and feedback.

  5. 05
    Make it stick

    Translate the result into decisions, habits and a path to scale.

THE NEXT CHAPTER

Why Dubai?

Because I want to work where international perspective, institutional ambition and applied AI meet at real speed.

I'm looking for a role where I can connect strategy to the ground: understand how people work, use data and AI to remove friction, and stay close enough to delivery to see the result. Dubai feels like the right place for that next chapter.

LOOKING FOR

AI Transformation Lead
Forward-Deployed AI Solutions
Technical Delivery Leadership

04 / MY TOOLKIT

Business fluency.
Technical curiosity.
Delivery discipline.

AI use-case discoveryProcess intelligenceSQL & ClickHousePower QueryJQL & JSONNLP & text miningLLM-assisted classificationCelonis & ProcessetROI & value casesProduct discoveryEnterprise deliveryStakeholder alignment
05 / THE JOURNEY

A career built by moving closer to the problem.

Download full résumé
2020—NOW

Enterprise Agile Coach / Process Intelligence Initiative Lead

Alfa-Bank

Moscow
2019—2020

Agile Coach

Masterdata

Moscow
2018—2019

Chief Product Owner

Decathlon France

Moscow
2017—2018

Program Manager

Keywords Studios

St Petersburg
2012—2017

Product Owner / Co-Founder

e-Works & Quality of Life Media

Yerevan