CTOp

We are looking for CTOp(AI Platforms) role for one of our renowned IT clients in Krakow Poland. This is a contract role. If interestedplease share your CV at

1. Teams Support Channel ownership (user queries & triage)

Monitor and manage the Group AI Platform Teams support channel.

Respond to user questions troubleshoot first-line issues and route queries to the right resolver groups.

Ensure good user experience through clear timely and structured communications.

2. Onboarding and access request coordination (end-to-end)

Act as the primary point of contact for onboarding/migration requests.

Engage users to understand what theyre trying to achieve and guide them through onboarding

requirements steps and platform capabilities.

3. Structured discovery & requirement capture

Capture key onboarding inputs: use cases data needs model type environments access requirements

governance approvals and non-functional needs.

Translate we need onboarding into a clear actionable set of requirements and next steps.

4. Bug/issue management and follow-up

Log track and chase bugs/issues across engineering platform ops and dependent teams.

Drive progress unblock dependencies and ensure closure with appropriate user comms and

documentation.

5. Operational tracking SLAs and stakeholder updates

Track onboarding and support requests end-to-end (ageing blockers ETA).

Provide regular status updates to stakeholders and users managing expectations and keeping work

moving at pace.

6. BAU process improvement & enablement

Maintain and improve onboarding artefacts: FAQs templates playbooks intake forms and dashboards.

Identify recurring issues/themes and propose fixes to reduce friction and cycle time.

Support user enablement through demos knowledge sharing or short how-to walkthroughs.

Maintain and improve onboarding artefacts: FAQs templates playbooks intake forms and dashboards.

Identify recurring issues/themes and propose fixes to reduce friction and cycle time.

Support user enablement through demos knowledge sharing or short how-to walkthroughs.

related discipline.

2. Career background primarily in the software/technology industry.

3. 5 years experience as a Project Manager / Business Analyst delivering software products/projects end-to-end

preferably in complex enterprise environments.

4. Support operations & user-facing service mindset

Strong ability to handle high-volume inbound queries with structured triage and timely responses.

Comfortable dealing with ambiguity and multiple parallel requests.

Calm solutions-led approach when handling escalations or delays.

5. Business analysis & requirements engineering

Ability to elicit requirements via 1:1s or lightweight workshops and document outcomes clearly.

Produce good-quality artefacts: problem statements scope assumptions dependencies process

flows user stories and acceptance criteria.

Strong attention to detailspot missing approvals unclear scope and dependency risks early.

6. Delivery coordination & ownership mindset

Own requests from intake to closure: triage prioritisation tracking and completion with planning

mindset to handle the cases and requirements.

Manage RAID (risks assumptions issues dependencies) and keep actions moving across teams.

Comfortable driving trade-offs (scope vs timeline vs risk) and escalating appropriately.

7. Stakeholder management & communication

Take lead to drive the project related enhancements and gathering relevant requirements for

internal feature / capcbility of Group AI Platform

Confident engaging users engineers and governance partners; able to influence without formal

authority.

Provide crisp updates: current status blockers next steps ETA/SLA expectations.

Able to manage prioritisation conflicts professionally and transparently.

8. Agile ways of working & tooling

Practical Agile experience: backlog refinement sprint ceremonies demos retrospectives.

Strong JIRA skills: epics/stories workflow tracking prioritisation dashboards reporting.

Strong Confluence (or similar) skills: playbooks FAQs templates decision logs knowledge

articles.

9. Metrics SLA visibility & continuous improvement

Define and track operational KPIs (lead time throughput ageing rework first-time-right).

Build clear reporting for stakeholders (weekly dashboards/pipeline views/root-cause themes).

Use data and feedback loops to improve onboarding and support processes (Lean mindset).