SC 127107 PHI: Controller

1. Project objective

Objective and Purpose of the Assignment

The purpose of this engagement is to assist the Controller’s Department Systems Support Group (CTL CTOC-

SSG) Data and Analytics team in the design, development, administration, and support of CTL data

products, including Power BI dashboards, reports, data marts, and dataflows.

The Senior Data Developer

will play a key role in eliciting and translating requirements from CTL’s finance, accounting, and

control units into robust technical solutions;

building and optimizing dashboards, reports, and data

pipelines;

administering the underlying databases;

applying relevant AI-enabled tools responsibly to

accelerate delivery;

and ensuring the quality, security, and timely delivery of the solutions.

Scope of Work

The developer will work directly with the CTOC-SSG Data and Analytics team, Controller’s department.

Specifically, the Developer will:

• Elicit, analyze, and document business requirements from CTL units, and translate them into technical

specifications, data models, and dashboard designs that are fit for purpose.

• Design, build, and maintain Power BI dashboards, paginated reports, semantic models, and dataflows for

CTL, applying usability, accessibility, and performance best practices (e.g., DAX optimization,

incremental refresh, composite models, row-level security).

• Provide technical support by troubleshooting and resolving issues raised by CTL business users on

existing CTL dashboards and reports, performing root cause analysis, and implementing permanent fixes.

• Extract and ingest data from relevant source systems using appropriate ingestion methods, in

compliance with the ADB Data Platform Architecture (AIDE) and in coordination with the ITD teams.

• Design, develop, and orchestrate scalable data and big data pipelines (e.g., Azure Data Factory,

Databricks/Apache Spark, Delta Lake) that feed the CTL data marts in accordance with the approved data

model.

• Perform database administration tasks for CTL data assets, including managing Azure SQL databases,

performance tuning and indexing, capacity and refresh monitoring, backup and recovery, and access

control and security hardening.

• Apply relevant AI-enabled tools and services (e.g., AI-assisted development tools, Copilot

capabilities in Power BI and Microsoft Fabric, and Azure AI services) to accelerate development and

enrich analytics, in compliance with ADB guidance on the responsible use of AI.

• Embed controls-aware design in all deliverables, including reconciliation and data quality checks,

audit trails, validation rules, and appropriate segregation of duties.

• Ensure compliance with the ADB Data Platform Architecture (AIDE), ADB software engineering standards,

and applicable data governance, classification, and security requirements.

• Maintain an in-depth understanding of the data pipelines that feed data into the data marts according

to the data model, and of the CI/CD pipelines used to deploy solution components.

• Leverage technical components such as Azure Data Factory, Azure Data Lake, Databricks, Azure Blob

Storage, Azure SQL databases, Microsoft Fabric, and Power BI.

• Prepare and maintain standard operating procedures (SOPs), technical documentation, user guides, and

support runbooks, and conduct knowledge transfer and handover sessions for CTL staff.

• Work with the CTL and IADA teams to ensure the timely delivery of project objectives.

Detailed Tasks and/or Expected Output

See Scope of Work

Minimum Qualification Requirements

Required:

• Bachelor’s degree in computer science, information systems, information technology, accounting, or a

related field.

• At least 7 years of experience as a data developer, business intelligence developer, and/or data

engineer, preferably in the banking, financial services, or international organization sector.

• Expert-level proficiency in Power BI, including DAX, Power Query (M), tabular semantic modeling, rowlevel security, deployment pipelines, and report performance optimization.

• Strong experience in big data engineering, including Databricks/Apache Spark, Delta Lake, Azure Data

Factory, and Azure Data Lake, and in designing ETL/ELT processes for large data volumes.

• Solid database administration skills, including administration of Azure SQL databases and/or SQL

Server, advanced T-SQL, query and index tuning, security and access management, and backup and recovery.

• Working knowledge of current AI-enabled tools relevant to data and analytics delivery (e.g., AIassisted development tools, Copilot capabilities in Power BI and Microsoft Fabric, and Azure AI

services), with an understanding of responsible AI practices.

• Demonstrated experience working with finance, accounting, treasury, or internal control units, with a

sound understanding of accounting and control concepts (e.g., general ledger, disbursements,

reconciliations, financial reporting) and the ability to translate business users’ requirements into

appropriate technical solutions.

• Experience in Azure DevOps and CI/CD pipelines for the deployment, testing, and version control of

solution components.

• Experience in designing and setting up data marts and dimensional models (e.g., star schema).

• Ability to liaise effectively with relevant CTL and IT teams to develop effective solutions, with

strong stakeholder management skills.

• Strong communication skills in both spoken and written English, including the ability to explain

technical concepts to non-technical finance and accounting users.

• Experience working with ITIL and/or Scrum/Agile frameworks.

Desired:

• Relevant Microsoft certifications (e.g., PL-300 Power BI Data Analyst, DP-600 Fabric Analytics

Engineer, DP-203 Azure Data Engineer).

• Experience with Microsoft Fabric, the Power Platform (Power Automate, Power Apps), and Python for data

engineering or analytics.

• Familiarity with data governance and cataloging tools (e.g., Microsoft Purview) and data quality

frameworks.

• Prior experience with multilateral development banks or other international financial institutions.

Minimum General Experience 7

Years

Minimum Specific Experience (relevant to assignment) 7

Years

Regional/Country Experience Required

Desired

Not Required

Deliverables

Details Name Type Estimated Submission Date

No results found.

Schedule and Places of Assignment (chronological and inclusive of travel)

Schedule Type Continuous

Intermittent

Max.

Working Days/Week Home Office 5

Field 6

City and Country Working Days Estimated Start Date Estimated End Date Other Details (use if place selected is Others)

Home Office, Other Search and Select: Place

77 15-Sep-2026 31-Dec-2026

Home Office, Other Search and Select: Place

55 01-Jan-2027 16-Mar-2027

Manila, Philippines Search and Select: Place

14 17-Mar-2027 01-Apr-2027

Home Office, Other Search and Select: Place

118 02-Apr-2027 14-Sep-2027

Total

264

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Copyright (c) 1998, 2023, Oracle and/or its affiliates.

All rights reserved.

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