Head of Solution & Quality Assurance cum Head of Data Analytics & AI

Head of Solution & Quality Assurance
Enterprise & Solution Architecture
- Define, maintain, and communicate the enterprise architecture roadmap aligned with business and technology strategy.
- Oversee solution architecture design across application domains, ensuring consistency, scalability, and reusability.
- Evaluate emerging technologies and recommend adoption where they deliver clear business value.
- Promote and enforce modern architectural principles, including microservices, API- first, cloud- native, and event- driven architectures.
- Establish and operate architecture governance forums, design review processes, and approval mechanisms.
- Govern technology standards, reference architectures, design patterns, and architectural best practices.
Business Analysis & Demand Management
- Oversee the elicitation, documentation, validation, and management of business requirements and user stories.
- Ensure effective translation of business requirements into solution designs in close collaboration with architecture, product, and technology teams.
- Manage scope, prioritization, and end- to- end traceability of requirements across projects and programs.
- Establish standards, tools, templates, and best practices for business analysis across the organization.
Quality Assurance & Testing
- Drive the adoption and continuous improvement of test automation frameworks to enhance efficiency and reduce time- to- market.
- Oversee the full testing lifecycle, including functional, performance, security, automation, and UAT.
- Define and enforce QA strategy, methodologies, and quality standards across all technology initiatives.
- Establish and monitor quality metrics and KPIs to continuously improve product and delivery quality.
Security, Compliance & Risk Management
- Ensure technology solutions comply with regulatory and industry standards (e.g. ISO, PCI DSS, and local financial regulations).
- Identify, assess, and manage risks related to architecture decisions, technical debt, and quality issues.
- Ensure systems are secure, resilient, and meet defined performance and availability SLAs.
Leadership & Stakeholder Management
- Lead, mentor, and develop enterprise architects, solution architects, business analysts, and QA professionals.
- Collaborate closely with business leaders, CIO, and functional heads to align technology initiatives with organizational objectives.
- Build and maintain strong relationships with internal stakeholders, technology vendors, partners, and regulators.
Head of Data Analytics & AI
Data, Analytics & AI Strategy
- Identify and prioritize opportunities to apply Advanced Analytics and AI to generate business value, operational efficiency, and competitive advantage.
- Oversee the design, implementation, and governance of enterprise data platforms, including data lakes, data warehouses, and analytics tools.
- Promote and embed a data- driven culture across all levels of the organization.
- Define and drive the enterprise- wide Data Analytics & AI strategy aligned with overall business objectives.
Data Platform & Analytics Enablement
- Ensure data quality, integrity, and compliance with applicable regulations (e.g., GDPR, local banking and financial regulations).
- Lead the development of dashboards, management reporting, and self- service analytics capabilities.
AI/ML & Advanced Analytics
- Build and scale MLOps capabilities to ensure robust model lifecycle management, monitoring, and continuous improvement.
- Lead the research, development, and deployment of machine learning models, natural language processing, computer vision, and other AI techniques.
- Partner with business functions (e.g., Risk, Credit Scoring, Customer Engagement, Fraud Detection, Operations) to design and implement AI- driven use cases.
People, Stakeholder & Vendor Management
- Collaborate closely with the CIO and senior business leaders to translate business challenges into scalable Data & AI solutions.
- Lead, mentor, and develop high- performing teams of Data Scientists, Data Engineers, and Analysts.
- Manage vendor relationships and evaluate emerging technologies, tools, and strategic partnerships.
Governance, Risk & Compliance
- Identify and manage risks related to AI adoption, including model bias, explainability, and accountability.
- Establish and maintain data governance and AI governance frameworks, ensuring ethical and responsible AI practices.
- Ensure compliance with data security, privacy, and data usage regulations.
Other tasks as assigned by the manager.

Education
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline; PhD is a strong advantage.
Experience
- Strong track record of delivering measurable business outcomes through data- driven, analytics, and AI- powered solutions.
- At least 8 years of experience in data, analytics, or AI- related roles, including exposure to enterprise architecture, business analysis, and quality assurance; with a minimum of 5 years in leadership or people management positions.
- Demonstrated expertise in enterprise architecture frameworks (e.g. TOGAF, Zachman) and modern technology architectures, including cloud- native, microservices, API- led, and event- driven models.
- Proven experience leading and scaling AI/ML initiatives in a commercial environment, preferably within financial services, fintech, or consumer- oriented industries.
- Solid understanding and hands- on application of business analysis frameworks and practices such as BABOK, Agile BA, Lean, and Design Thinking.
Skills & Professional Competencies
- Advanced expertise in big data platforms, cloud technologies (AWS, Azure, GCP), and modern data & AI architectures.
- Strong knowledge of data governance, AI ethics, privacy, and regulatory compliance requirements, particularly in regulated environments.
- Excellent leadership, stakeholder management, and communication skills, with the ability to bridge business strategy and advanced technology solutions.

Chế độ bảo hiểm, Du Lịch, Chế độ thưởng, Chăm sóc sức khỏe, Đào tạo, Tăng lương

Cập nhật gần nhất lúc: 2026-02-01 07:10:02