AI Delivery Engineer

Globe Telecom; Philippines; Sur place; PHP 1 200 000 - 1 900 000; Plein temps

Résumé du poste

Globe Telecom is seeking a delivery-focused professional to bridge Finance demands with technical delivery. You will scope work, sequence tasks across concurrent streams, and keep teams aligned to the plan while staying close to build estimates.

Hands-on Python and SQL are advantageous for data checks, automation, and small data products. You will collaborate with engineers and Finance business partners, using AI tooling for automated reporting and documentation and supporting governance through

Qualifications

• Experience turning business needs into scoped, testable deliverables.
• Proven ability to manage multiple technical workstreams with risk awareness.
• Strong stakeholder management across finance, engineering, and partners.
• Ability to influence without formal authority and drive alignment.
• Familiarity with finance and risk use cases and requirements.
• Comfortable following technical discussions and challenging estimates.

Responsabilités

• Elicit and document requirements from Finance and Risk stakeholders—user stories and acceptance criteria.
• Manage intake and backlog; scope, sequence, and prioritize across concurrent workstreams.
• Run project lifecycles—planning, dependency and risk management, delivery tracking.
• Coordinate delivery cadences—standups, milestone reviews, stakeholder updates.
• Coordinate dependencies across AI Engineering, Decision Science, and Operations/Automation.
• Lead UAT, acceptance, and handover into BAU support.
• Use AI tooling to automate status reporting, tracking, and documentation.
• Support governance requirements—model approvals, data classification, audit documentation.

Connaissances

Requirements engineering

Delivery management

Stakeholder mgmt

Influence skills

Finance knowledge

Technical dialogue

Outils

Python

SQL

AI tooling

Description du poste

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

Own the delivery path between Finance stakeholders and technical teams — translating Finance requirements into scoped work, coordinating execution across technical sections, and keeping concurrent workstreams on track.

This is a delivery role at its core: requirements, backlog, sequencing, and stakeholder management. It is technical in the work it manages and in the tools it uses. You will use AI tooling to automate status reporting, tracking, and documentation.

There will also be room to do hands-on AI-assisted development — prototypes, data checks, automation, and small data products — depending on your skills and what the workstreams need. This is not the main deliverable, but it is real work and it will grow with the person in the role. Hands-on Python and SQL are a big advantage and will shape how far the role can go.

You will work directly with both engineers and Finance business partners.

Purpose

This role sits between Finance demand and technical delivery. It scopes the work, sequences it across concurrent workstreams, holds teams to the plan, and stays close enough to the build to know when an estimate does not add up.

Responsibilities

• Elicit and document requirements from Finance and Risk stakeholders — user stories, acceptance criteria, process flows
• Manage intake and backlog; scope, sequence, and prioritize across concurrent workstreams
• Run project lifecycles — planning, dependency and risk management, delivery tracking
• Run delivery cadences — standups, milestone reviews, stakeholder updates
• Coordinate dependencies and governance across AI Engineering, Decision Science, and Operations/Automation
• Coordinate UAT, acceptance, and handover into BAU support
• Use AI tooling to automate status reporting, tracking, and documentation
• Support governance requirements — model approvals, data classification, audit documentation

Essential Skills

• Requirements engineering — turning ambiguous business needs into scoped, testable deliverables
• Delivery experience across concurrent technical workstreams, with real dependency and risk management
• Stakeholder management across Finance, engineering, and cross-functional partners
• Influence without formal authority — driving alignment and accountability across peers
• Working knowledge of Finance and Risk use cases and requirements
• Credible with technical teams — able to follow technical discussion, challenge estimates, and hold delivery to account

Strong Advantage

• Python and SQL for data analysis, automation, and AI-assisted development, ideally hands-on
• ETL pipeline development, data cleansing, scheduling, and data rationalization, ideally hands-on
• AI-assisted development workflows — agentic coding tools (Claude Code, Copilot), LLM APIs, prompt and context engineering
• Platform familiarity across cloud environments — AWS, GCP, Databricks, and related tools
• Using generative AI tools to support development, documentation, code optimization, testing, and data product delivery
• Credit risk domain — portfolio behaviour, collections, provisioning, IFRS 9 ECL
• Regulated finance delivery — model governance, audit trails, data classification

Equal Opportunity Employer

Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.