AI Delivery Manager

ERNI

Mandaluyong

Hybrid

PHP 900,000 - 1,300,000

Full time

3 days ago
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Benefits offered by this job

Hybrid Set-Up
Free Training with Certifications
Baby Basket
Fruit Basket
Free snacks and coffee in the office

Job summary

ERNI in the Philippines seeks an AI Delivery Manager to drive delivery of AI and Big Data initiatives, coordinating requirements through production deployment and ensuring proper documentation and handover. You will align business and technical stakeholders, track risks, and manage dependencies in a hybrid work setting.

Collaborate with product managers, data owners, platform teams, and external partners to ensure go-live readiness and successful delivery of complex projects.

Qualifications

  • Requires degree in IT, business, PM, data, or related field.
  • Experience managing cross-functional projects, stakeholders, and delivery schedules.
  • Experience supporting system implementation, process improvement, or transformation initiatives.

Responsibilities

  • Coordinate AI and Big Data solution implementation from requirements elaboration through deployment support.
  • Translate priorities into actionable implementation plans with clear milestones.
  • Manage delivery dependencies, risks, and issues across business and technology teams.

Skills

Cross-functional coordination
Analytical skills
English communication
Stakeholder management
Delivery planning

Education

Bachelor's degree in IT/Business/PM/Data or related field

Tools

AI platforms
Cloud services
Data dashboards

Job description

ERNIis a fast-growing Software Development company headquartered and founded in Switzerland in 1994, with more than 800 employees. We are highly specialized in IT & software engineering to enable and deliver innovation in process and technology. Our first service center in Asia Pacific is in Metro Manila (Mandaluyong) from where we provide our service to Europe, APAC incl. our local market Philippines, and USA regions. We are now geared towards expansion and are looking for highly motivated joiners.

WHY ERNI is the best place to call HOME?

At ERNI,this is how we can support you;ALLcompanyPERKS AND BENEFITStake effectUPON HIRING!

Contract: there is always a project and opportunity for you.

Personal Development and Travel Opportunities outside the Philippines.

Baby Basket - to welcome your newborn to the ERNI family.

Fruit Basket - boost of vitamins during hospitalization.

Free snacks and coffee in the office

Free Training with Certifications: Grow with us through technical and non-technical training.

Challenging Projects:ERNI is dedicated to developing high-quality software in complex technical environments such as MedTech, Industry, Finance, and Transportation. Have the chance to participate in various technically challenging projects amongst passionate and skilled colleagues.

Employee Welfare:You will be guided by a group of people who will guide and support you to have the right tools and mindset.

Promotions & Recognition:From the very first day, we offer you a way to learn and develop yourself in our company. Your colleagues and superiors consistently recognize and appreciate all efforts, making you feel satisfied with your achievements.

Communication:You will find transparency, honesty, and open communication in our working culture. we value suggestions, opinions, and feedback from all employees.

Hybrid Set-Up:We are combining both remote work and in-person work. The hybrid setup will allow you to reduce commuting time and have a more flexible work schedule. This will help you to manage better your work-life balance.

We provide many opportunities to connect and build relationships. We are learning, growing, and celebrating achievements together. You will experience a wide range of different exciting activities. What to expect? Leisure Events, Summer Events, Family Events, Social Events, and Year-End Events.

What are our wishes?

A degree in Information Technology, Business Administration, Project Management, Data, Digital Transformation, or a related field.

Proven experience managing cross-functional projects, stakeholders, delivery schedules, dependencies, risks, and resource planning.

Experience supporting system implementation, process improvement, migration, or transformation initiatives from planning through delivery.

Strong background in project governance, progress reporting, executive dashboards, and management communications.

Knowledge of portfolio, program, and project management practices, including project planning, delivery tracking, dependency management, and milestone monitoring.

Experience with risk, issue, and control management, including process reviews, escalation management, and remediation tracking.

Ability to coordinate resources, capacity planning, and cross-functional stakeholders across business and technology teams.

Strong analytical and problem-solving skills.

Excellent written and spoken English communication skills.

Ability to prepare clear management-level updates, delivery documentation, and structured reports.

Experience working with business users, technical leads, data owners, platform teams, and external stakeholders.

Nice to Have

Experience delivering AI, Big Data, data product, or digital transformation initiatives.

Experience coordinating solution implementation for AI platforms, cloud services, enterprise systems, dashboards, automation components, or data-enabled products.

Exposure to solution architecture, data engineering, application development, model integration, security, infrastructure, or user experience workstreams.

Experience supporting integration, user acceptance, security, and performance testing.

Experience working in hybrid, multi-stakeholder, or enterprise-scale environments.

Preferred Qualifications

Experience managing implementation activities from requirements elaboration through design, build, integration, testing, migration, and production deployment support.

Experience maintaining solution backlogs, implementation plans, milestone forecasts, release notes, and operational handover materials.

Strong understanding of delivery governance, dependency tracking, change request management, and go-live readiness.

Experience supporting executive or management governance forums.

Familiarity with Agile, Scrum, or iterative product delivery environments is an advantage.

How can you contribute to the team?

As an AI Delivery Manager, you will support the successful delivery of AI and Big Data initiatives by coordinating solution implementation activities from requirements elaboration through production deployment support. You will help translate product priorities into actionable implementation plans, align business and technical stakeholders, and ensure that delivery outputs are properly documented, tested, and ready for operational handover.

You will work closely with product managers, business users, technical leads, data owners, platform teams, and internal stakeholders to manage delivery dependencies, track risks and issues, and support the build of AI and data-enabled solutions.

Translate AI and Big Data product priorities into implementation plans, delivery milestones, and build-ready work packages.

Coordinate requirements elaboration with product managers, business users, technical leads, data owners, and platform teams.

Maintain delivery plans, solution backlogs, and milestone forecasts for product enhancements, new modules, integrations, and platform-enabled capabilities.

Coordinate the design and build of AI and data-enabled product features, workflows, interfaces, dashboards, automation components, and supporting technical artifacts.

Track build progress across solution architecture, data engineering, application development, model integration, security, infrastructure, and user experience workstreams.

Facilitate the resolution of technical, integration, and delivery issues that affect completion of new or enhanced system capabilities.

Coordinate integration activities across internal systems, cloud services, AI platforms, and enterprise technology components.

Support system, integration, user acceptance, security, and performance testing by tracking readiness, defects, remediation actions, and sign-off requirements.

Coordinate configuration, release readiness, deployment preparation, and implementation cutover activities.

Maintain implementation documentation, including delivery plans, design decisions, requirements traceability, test status, release notes, and operational handover materials.

Track delivery risks, dependencies, issues, decisions, and change requests affecting scope, timeline, quality, or acceptance.

Support management reviews and governance forums by reporting progress, completed deliverables, blockers, and go-live readiness.

Collaborate with internal and external stakeholders to ensure smooth delivery and operational handover of AI and Big Data solutions.

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