215 Data Strategy Director jobs in the Philippines

Job brief

We are seeking a visionary
Head of
Data Architecture
for a global company building AI platforms from scratch to lead the design and execution of our enterprise-wide data backbone. This leader will unify data across CAD, Finance, Operations, and GTM functions, ensuring our organization has a trusted, scalable foundation for analytics, AI, and business decision-making.

Responsibilities

• Design, implement, and own the enterprise-wide data architecture that connects critical business domains (CAD, Finance, Operations, GTM).
• Lead the development and maintenance of data models, pipelines, lineage, quality frameworks, adnd governance standards.
• Ensure the delivery of reliable, well-documented datasets to enable AI, ML, and advanced analytics use cases.
• Establish and enforce best practices for data management, scalability, and cloud-native architectures.
• Collaborate with cross-functional stakeholders to translate business needs into data solutions.
• Build, lead, and mentor a high-performing team of data engineers and architects.

Requirements

• Proven track record of designing and scaling enterprise-level, cloud-native data platforms beyond reporting and BI.
• Hands-on expertise with Snowflake or BigQuery, along with modern orchestration and transformation tools (e.g., dbt, Airflow) in AWS, GCP, or Azure environments.
• Demonstrated impact through enabling AI/ML and advanced analytics initiatives
• Strong leadership presence: ability to recruit, develop, and inspire data engineering talent.
• Excellent communication and collaboration skills, with experience working across executive, technical, and operational teams.

We are seeking a visionary Head of  Data Architecture  for a global company building AI platforms from scratch to lead the design and execution of our enterprise-wide data backbone. This leader will unify data across CAD, Finance, Operations, and GTM functions, ensuring our organization has a trusted, scalable foundation for analytics, AI, and business decision-making. 

• Design, implement, and own the enterprise-wide data architecture that connects critical business domains (CAD, Finance, Operations, GTM).
•  Lead the development and maintenance of data models, pipelines, lineage, quality frameworks, adnd governance standards.
• Ensure the delivery of reliable, well-documented datasets to enable AI, ML, and advanced analytics use cases.
• Establish and enforce best practices for data management, scalability, and cloud-native architectures.
• Collaborate with cross-functional stakeholders to translate business needs into data solutions.
• Build, lead, and mentor a high-performing team of data engineers and architects.

• Proven track record of designing and scaling enterprise-level, cloud-native data platforms beyond reporting and BI.
• Hands-on expertise with Snowflake or BigQuery , along with modern orchestration and transformation tools (e.g., dbt, Airflow ) in AWS, GCP, or Azure environments.
• Demonstrated impact through enabling AI/ML and advanced analytics initiatives
• Strong leadership presence: ability to recruit, develop, and inspire data engineering talent.
• Excellent communication and collaboration skills, with experience working across executive, technical, and operational teams.

We are seeking an experienced and strategic Director of Data Architecture to lead the design and implementation of an enterprise-wide data backbone that seamlessly integrates data across CAD, finance, operations, and go-to-market functions. This role will be responsible for building and maintaining robust, scalable data infrastructure that supports our business intelligence, analytics, and AI capabilities.

KEY RESPONSIBILITIES

• Design and implement enterprise‑wide data backbone that unifies CAD, finance, ops, and GTM data.
• Own data models, pipelines, quality, lineage, and governance.
• Enable AI/analytics by delivering reliable, well‑documented datasets.

QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• 10+ years of experience in data architecture, data engineering, or related fields, with at least 5 years in leadership roles.
• Proven track record of designing and implementing enterprise-scale, cloud-native data platforms beyond traditional reporting.

• Hands-on expertise with:

• Cloud platforms: AWS, GCP, or Azure.

• Data warehousing: Snowflake, BigQuery, or similar.

• Data pipeline/orchestration: dbt, Airflow, or equivalent.

• Experience enabling AI/ML or advanced analytics use cases through robust data foundations.

• Strong background in data governance, quality, and security frameworks.
• Demonstrated ability to recruit, mentor, and lead data engineering teams.
• Excellent communication and collaboration skills, with ability to influence technical and business stakeholders.

About the Position: Lead Consultant Data Architecture & Engineering (GDC) | Remote

Work Arrangement: Fully Remote

Schedule: Midshift

At least 5 years of relevant experience and at least 4 years of relevant leadership experience is needed.

Job Overview:

**Leadership Development** This role offers opportunities to enhance your technical leadership skills, including making technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipall while remaining actively involved in your technical domain.

**Technology Focus & Growth** Our primary focus is on Azure, providing numerous chances to develop your expertise within the Microsoft and Azure ecosystems in an environment dedicated to technical excellence and exceptional client experiences. Just six months with our team can equate to years of experience elsewhere.

**Partnerships & Opportunities** Our strong global partnership with Microsoft ensures access to innovative Azure projects and direct collaboration with the platforms creatorsan advantage not commonly found elsewhere.

**Compensation & Culture** We offer a competitive salary, allowances, standard benefits, and performance-based bonuses (quarterly and annually). Our company fosters a positive working environment and culture, with flexible options for remote work.

**Core Technical Skills Required:**

• Proven experience leading small to medium technical teams, including task delegation, technical escalation, support, and representing the team in Agile ceremonies and client meetings

• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments

• Experience in developing data architectures supporting diverse data formats: structured, semi-structured, and unstructured data

• Hands-on involvement in full lifecycle data warehouse projects

• Knowledge of data architecture necessary for data integration processes

• Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar

• Familiarity with Microsoft Azure Data Platform services like Azure Data Lake Storage, Azure Blob Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs

• Demonstrated ability to quickly learn, adapt, and apply new technologies

• Experience in data profiling and mapping source-to-target data transformations

• Ability to provision and configure Azure data services

**Detailed Technical Skills:**

• Python and SQL scripting

• SQL and PySpark

• General cloud architecture skillscapable of translating requirements into data pipeline solutions

• API development knowledge; candidates with API creation skills are preferred

**Preferred Skills, Experience, & Certifications:**

• Microsoft Fabric

• Microsoft Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory

• Experience designing migration strategies from on-premise environments to Azure

• Power BI and semantic data modeling

• AWS Glue and Azure Data Factory

• AWS S3 and Azure Blob Storage

• AWS Athena and Azure Databricks

• AWS Redshift and Azure Synapse Analytics

• AWS ECS and Azure AKS

About The Role
The Data Governance and Management Analyst plays a vital role in the implementation of master data and reference data changes, data governance programs within Finance and Compliance organization. This role will develop key operating procedures, act as a subject matter expert in data management and Finance/Compliance data definition, and will be responsible for ensuring the accuracy, consistency, and integrity of Finance/Compliance data across various financial systems and processes within the Bank

How You'll Contribute

• Serve as data steward for Finance and Compliance data domains, ensuring proper stewardship and ownership
• Support the implementation of data governance frameworks and policies for the supported units
• Serve as a subject matter expert (SME) on reference data, providing guidance and support to other teams within Finance and across the organization
• Identify opportunitiesfor process improvement in reference data management and lead initiatives to enhance data quality and efficiency
• Develop and maintain comprehensive documentation, including operating procedures and data dictionaries, to ensure clarity and consistency in reference data management practices
• Conduct regular data quality checks and audits to identify and resolve discrepancies, ensuring high data integrity
• Ensure compliance with relevant regulatory requirements and internal controls related to reference data management
• Other related tasks which may be assigned from time to time

What We're Looking For

• Bachelor's degree in Finance, Accounting, Business, or a related field
• Minimum 2 years of experience in reference data management, data analysis, or a similar role within the Finance industry
• Good understanding of financial reporting, general ledger, accounting, banking products, financial instruments, securities, and market data
• Proficiency in using reference data tools and systems (e.g., Bloomberg, Reuters, Oracle ERP and EPM modules, etc)
• Familiarity with data governance frameworks and best practices
• Excellent analytical and problem-solving skills with a keen eye for detail
• Effective communication and interpersonal skills to collaborate with cross-functional teams
• Ability to work independently and manage multiple tasks in a fast-paced environment
• Strong organizational skills and a proactive approach to process improvement

About Security Bank
Security Bank is one of the Philippines' best capitalized private domestic universal banks. Established in 1951 and publicly listed with the Philippine Stock Exchange (PSE:SECB) in 1995, our major businesses cover retail, corporate, commercial, and business (MSME) banking.

We're recognized as an Employer of Choice in Philippine banking by various award-giving bodies for our values-based culture, industry-leading engagement and benefits, and commitment to work-life balance.

Most recently, we ranked as the #2 best employer in the Philippines and #54 globally on the prestigious Forbes' World's Best Employers 2023 list.

At Security Bank, our approach to Human Capital Management (HCM) is embodied by our Employee Value Proposition (EVP): "YOU matter."

Start your BetterBanking career with us today.

About the Role

As a Data Governance and Management Officer, you will manage a team of Reference Data Analysts and oversee the implementation of
master data and reference data changes, primarily of (but not limited to) the
Bank's Chart of Accounts across Finance-owned systems. You will review key operating procedures, act as a subject matter expert in reference data
management, and provide guidance to the Data Governance and Management Analysts.
Also, you will be accountable for ensuring the accuracy, consistency, and
integrity of reference data across various financial systems and processes
within the Bank, as well as managing the performance and development of the
analysts.

How you'll contribute

• Manage a team of Reference Data Analysts and oversee the
  implementation of reference data changes, ensuring data accuracy and
  consistency in line with industry best practices and internal policies.
• Collaborate, influence, and build relationship with
  stakeholders to establish and enforce data governance standards, policies, and
  procedures related to reference data management.
• Serve as a subject matter expert (SME) on reference data,
  providing guidance and support to other teams within Finance and across the
  organization.
• Support the process improvement initiatives within the team
  with the aim of enhancing data quality and efficiency.
• Review process documentation, including operating procedures
  and data dictionaries, to ensure clarity and consistency in reference data
  management practices.
• Drive the scheduled data quality checks and audit activities to
  identify and resolve discrepancies, ensuring high data integrity.
• Ensure team compliance with relevant regulatory requirements
  and internal controls related to reference data management.
• Plan, organize and oversee the completion of projects and
  initiatives related to reference data while ensuring these projects are on
  time, on budget and within scope.
• Other
  related tasks which may be assigned from time to time.

What We're Looking For

• Bachelor's degree in Finance, Accounting, Business, or a
  related field
• At least five years of experience in reference data management, data analysis, or a similar role within the Finance industry
• Very good
  understanding of financial reporting, general ledger, accounting, banking
  products, financial instruments, securities, and market data
• Extensive
  experience in using reference data tools and systems (e.g., Bloomberg, Reuters,
  Oracle ERP and EPM modules, etc)
• Familiarity
  with data governance frameworks and best practices
• Excellent
  analytical and problem-solving skills with a keen eye for detail
• Effective
  communication and interpersonal skills to collaborate with cross-functional
  teams

About Security Bank

Security Bank is one of the
Philippines' best capitalized private domestic universal banks. Established in
1951 and publicly listed with the Philippine Stock Exchange (PSE:SECB) in 1995,
our major businesses cover retail, corporate, commercial, and business (MSME)
banking.

We're recognized as an
Employer of Choice in Philippine banking by various award-giving bodies for our
values-based culture, industry-leading engagement and benefits, and commitment
to work-life balance.

Most recently, we ranked as
the #2 best employer in the Philippines and #54 globally on the prestigious
Forbes' World's Best Employers 2023 list.

At Security Bank, our
approach to Human Capital Management (HCM) is embodied by our Employee Value
Proposition (EVP): "YOU matter."

Start your BetterBanking
career with us today.