Lotte Finance Việt Nam ★ 3.1

Mô tả Công việc

Head of Solution & Quality Assurance

1. 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.

- Promote and enforce modern architectural principles, including microservices, API-first, cloud-native, and event-driven architectures.

- Govern technology standards, reference architectures, design patterns, and architectural best practices.

- Evaluate emerging technologies and recommend adoption where they deliver clear business value.

- Establish and operate architecture governance forums, design review processes, and approval mechanisms.

2. Business Analysis & Demand Management

- Establish standards, tools, templates, and best practices for business analysis across the organization.

- 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.

3. Quality Assurance & Testing

- Define and enforce QA strategy, methodologies, and quality standards across all technology initiatives.

- Oversee the full testing lifecycle, including functional, performance, security, automation, and UAT.

- Drive the adoption and continuous improvement of test automation frameworks to enhance efficiency and reduce time-to-market.

- Establish and monitor quality metrics and KPIs to continuously improve product and delivery quality.

4. Security, Compliance & Risk Management

- Ensure technology solutions comply with regulatory and industry standards (e.g. ISO, PCI DSS, and local financial regulations).

- Ensure systems are secure, resilient, and meet defined performance and availability SLAs.

- Identify, assess, and manage risks related to architecture decisions, technical debt, and quality issues.

5. 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

1. Data, Analytics & AI Strategy

- Define and drive the enterprise-wide Data Analytics & AI strategy aligned with overall business objectives.

- Promote and embed a data-driven culture across all levels of the organization.

- 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.

2. Data Platform & Analytics Enablement

- Lead the development of dashboards, management reporting, and self-service analytics capabilities.

- Ensure data quality, integrity, and compliance with applicable regulations (e.g., GDPR, local banking and financial regulations).

3. AI/ML & Advanced Analytics

- 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.

- Build and scale MLOps capabilities to ensure robust model lifecycle management, monitoring, and continuous improvement.

4. People, Stakeholder & Vendor Management

- Lead, mentor, and develop high-performing teams of Data Scientists, Data Engineers, and Analysts.

- Collaborate closely with the CIO and senior business leaders to translate business challenges into scalable Data & AI solutions.

- Manage vendor relationships and evaluate emerging technologies, tools, and strategic partnerships.

5. Governance, Risk & Compliance

- 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.

- Identify and manage risks related to AI adoption, including model bias, explainability, and accountability.

6. Other tasks as assigned by the manager.

Yêu Cầu Công Việc

Education

- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline; PhD is a strong advantage.

Experience

- 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.

- Proven experience leading and scaling AI/ML initiatives in a commercial environment, preferably within financial services, fintech, or consumer-oriented industries.

- Strong track record of delivering measurable business outcomes through data-driven, analytics, and AI-powered solutions.

- Demonstrated expertise in enterprise architecture frameworks (e.g. TOGAF, Zachman) and modern technology architectures, including cloud-native, microservices, API-led, and event-driven models.

- 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.