Data analyst - Pasig
Pasig
Job Description
Posted on 11 July 2025As a Data Architect, you will develop, implement, and manage robust data architecture
strategies and systems that meet the specialized needs of a financial institution. Guided by the
DAMA-DMBOK v2 framework, this role emphasizes data security, regulatory compliance, data
quality, metadata management, master data management, and the continuous advancement of
AI and machine learning solutions.
- Banking-Specific Data Architecture Design and Management
(e.g., retail, transaction, investment banking, and risk management).
o Design high-performance data solutions capable of handling large volumes of
financial transactions and customer data.
o Ensure alignment with relevant financial regulations (e.g., Basel, GDPR, PCI-DSS)and industry standards.
- Data Governance and Compliance
principles.
o Oversee data accuracy, integrity, and adherence to financial industry standardsand regulations.
o Formulate and enforce policies for data privacy, security, and ethical data usage.
o Establish and guide metadata management strategies consistent with the bank’soverall data strategy.
- Leadership in Financial Data Management (Applicable for Lead Level Only)
specialized in financial systems.
o Champion the adoption of data warehousing, advanced analytics, and Business
Intelligence (BI) solutions, including AI and Generative AI.
o Foster a data-driven culture by advocating for insights-based decision-making atall organizational levels.
- Technology Integration and Innovation
ensure alignment of data strategies with broader organizational goals.
o Take ownership of technology selection for data platforms and collaborate with
technology teams to implement these solutions.
o Continually evaluate and integrate emerging technologies (AI, ML, Generative AI)
into the data architecture, ensuring performance and compliance.
o Oversee cloud migration and evaluate cloud-based data management solutions
(e.g., AWS, Azure, Snowflake, Databricks), ensuring they meet security and
regulatory mandates.
o Lead the architecture and design of AI, ML, data science, and generative AI
solutions to elevate the bank’s analytical and predictive capabilities.
o Stay current with new and upcoming trends in data practices, proactivelyrecommending improvements and innovations.
- Project Management and Collaboration
o Collaborate with IT, Risk Management, Finance, and other departments to align
data architecture strategies with overarching business objectives.o Lead and execute data architecture projects within budget and time constraints, adhering to industry and internal standards.
o Serve as the primary liaison to external stakeholders, including regulatory bodiesand technology partners.
Qualifications/Requirements
Qualifications:
- Bachelor’s degree or higher in Computer Science, Information Technology, Finance, or
- A minimum of 5 years’ experience in data architecture within the banking/financial
- Thorough understanding of financial regulations (e.g., Basel III, GDPR, PCI-DSS) affecting
- Proven track record in banking data and technology environments.
Skills:
- Deep expertise in financial databases, data modeling, and ETL processes specific to
- Proficiency in data security and compliance technologies aligned with regulatory
- Familiarity with fintech innovations and their applications in data architecture.
- Strong strategic planning, communication, and stakeholder management skills.
- Experience with cloud services (AWS, Azure, Snowflake, Databricks) tailored for financial
- Professional certifications relevant to data management (e.g., CDMP) or financial
services (e.g., FRM, CFA) are a plus.
Experience Levels:
- Data Architect
a financial setting.
o Solid understanding of risk management, financial reporting, and transactionprocessing systems.
- Senior Data Architect
architectures within banking and finance.
o Demonstrated leadership in rolling out major data initiatives, as well asmentoring junior team members.
- Lead Data Architect
environment.
o Proven track record in executive-level communication, strategic planning, and
driving enterprise-wide data initiatives.
o Strong managerial skills to lead cross-functional teams and shape organizationaldata strategies.
Work location
CITY OF PASIG, NCR, SECOND DISTRICT
Remarks
No additional remarks
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