Role Overview
We are looking for a Delivery Manager to drive execution across Omios AI initiatives ensuring effective coordination between multiple engineering product and data science teams.
This role will provide delivery leadership across both Supply AI and Demand AI streams reporting into the AI Core leadership and collaborating with stakeholders globally.
You will be responsible for end-to-end delivery management ensuring that high-impact AI initiatives are executed predictably sustainably and in alignment with Omios product vision.
Key Responsibilities
Coordinate delivery across multiple AI product lines ensuring cross-functional alignment between Commercial Product Data Science and Engineering.
Partner with technical leads to translate AI research and prototypes into production-grade solutions.
Build and maintain a clear roadmap for AI initiatives tracking dependencies risks and deliverables.
Facilitate agile ceremonies and ensure teams operate with efficiency transparency and focus on outcomes.
Maintain alignment with business stakeholders and communicate progress blockers and timelines.
Support talent onboarding and scaling within AI Core to meet strategic objectives.
Drive continuous improvement through delivery metrics and retrospectives.
What Were Looking For
5 years of delivery management experience in technology or data-driven environments.
Proven experience managing AI/ML or data platform initiatives end-to-end.
Strong understanding of Agile and Lean methodologies.
Excellent stakeholder management and communication skills across technical and business teams.
Ability to manage delivery across distributed teams and time zones.
Experience in managing dependencies and priorities across multiple concurrent workstreams.
A self-starter who thrives in ambiguity and drives structure and clarity in complex initiatives.
Well versed with Jira/Confluence ecosystem with strong project management experience
Qualifications :
Preferred Qualifications
Background in software engineering data science or product delivery within AI or machine learning domains.
Experience in cloud-based delivery (AWS GCP Azure).
Prior exposure to LLM applications RAG systems or AI platform development is a plus.
Additional Information :
Whats in it for you #LifeAtOmio
- Have an impact. With innovation and smart technology we are changing the way people travel and you too can have an impact on this ride
- A competitive and attractive compensation package
- Subsidized Urban Sports Club membership
- A diverse team of more than 45 nationalities
Diversity makes us stronger
We value diversity and welcome all applicants regardless of ethnicity religion national origin sexual orientation gender gender identity age or disability.
Hiring process and background checks
At Omio we work in partnership with Sringworks Screening once a job offer has been accepted Giant will be engaged to carry out background screening. Springworks will reach out to you via email and occasionally via telephone/text message so that they can gather all the relevant information required. Consent will be requested prior to any information being passed to our services company.
Recruitment scams: Important notice
Protect yourself from scammers Omio wants to ensure your ongoing safety during the application process at Omio. Please keep in mind potential scammers impersonating Omio recruiters (mainly via a global professional networking site and messenger apps).
Remember Omio never requests payment or sensitive personal information during the recruitment process. All official job opportunities are exclusively posted on our careers page. If you suspect fraudulent activity report it to Remember to cross-reference against our careers page if you question the authenticity stay vigilant and protect yourself from recruitment scams.
Intrigued Apply here in English.
Remote Work :
No
Employment Type :
Full-time
Role OverviewWe are looking for a Delivery Manager to drive execution across Omios AI initiatives ensuring effective coordination between multiple engineering product and data science teams.This role will provide delivery leadership across both Supply AI and Demand AI streams reporting into the AI C...
Role Overview
We are looking for a Delivery Manager to drive execution across Omios AI initiatives ensuring effective coordination between multiple engineering product and data science teams.
This role will provide delivery leadership across both Supply AI and Demand AI streams reporting into the AI Core leadership and collaborating with stakeholders globally.
You will be responsible for end-to-end delivery management ensuring that high-impact AI initiatives are executed predictably sustainably and in alignment with Omios product vision.
Key Responsibilities
Coordinate delivery across multiple AI product lines ensuring cross-functional alignment between Commercial Product Data Science and Engineering.
Partner with technical leads to translate AI research and prototypes into production-grade solutions.
Build and maintain a clear roadmap for AI initiatives tracking dependencies risks and deliverables.
Facilitate agile ceremonies and ensure teams operate with efficiency transparency and focus on outcomes.
Maintain alignment with business stakeholders and communicate progress blockers and timelines.
Support talent onboarding and scaling within AI Core to meet strategic objectives.
Drive continuous improvement through delivery metrics and retrospectives.
What Were Looking For
5 years of delivery management experience in technology or data-driven environments.
Proven experience managing AI/ML or data platform initiatives end-to-end.
Strong understanding of Agile and Lean methodologies.
Excellent stakeholder management and communication skills across technical and business teams.
Ability to manage delivery across distributed teams and time zones.
Experience in managing dependencies and priorities across multiple concurrent workstreams.
A self-starter who thrives in ambiguity and drives structure and clarity in complex initiatives.
Well versed with Jira/Confluence ecosystem with strong project management experience
Qualifications :
Preferred Qualifications
Background in software engineering data science or product delivery within AI or machine learning domains.
Experience in cloud-based delivery (AWS GCP Azure).
Prior exposure to LLM applications RAG systems or AI platform development is a plus.
Additional Information :
Whats in it for you #LifeAtOmio
- Have an impact. With innovation and smart technology we are changing the way people travel and you too can have an impact on this ride
- A competitive and attractive compensation package
- Subsidized Urban Sports Club membership
- A diverse team of more than 45 nationalities
Diversity makes us stronger
We value diversity and welcome all applicants regardless of ethnicity religion national origin sexual orientation gender gender identity age or disability.
Hiring process and background checks
At Omio we work in partnership with Sringworks Screening once a job offer has been accepted Giant will be engaged to carry out background screening. Springworks will reach out to you via email and occasionally via telephone/text message so that they can gather all the relevant information required. Consent will be requested prior to any information being passed to our services company.
Recruitment scams: Important notice
Protect yourself from scammers Omio wants to ensure your ongoing safety during the application process at Omio. Please keep in mind potential scammers impersonating Omio recruiters (mainly via a global professional networking site and messenger apps).
Remember Omio never requests payment or sensitive personal information during the recruitment process. All official job opportunities are exclusively posted on our careers page. If you suspect fraudulent activity report it to Remember to cross-reference against our careers page if you question the authenticity stay vigilant and protect yourself from recruitment scams.
Intrigued Apply here in English.
Remote Work :
No
Employment Type :
Full-time
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