Head - Data and Analytics - Banking and Financial Services

CAPGEMINI SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading consultancy firm in Singapore is looking for a seasoned Data and Analytics lead. You will be responsible for driving enterprise data strategies, designing innovative data solutions, and leading cross-functional teams. Candidates should have over 15 years of experience in data engagements, with strong expertise in banking domains and data governance. This role requires a deep understanding of data architecture methodologies and the ability to collaborate effectively with stakeholders.

Qualifications

• 15+ years of experience in data engagements.
• Expertise in data architecture methodologies.
• Proven banking domain knowledge.

Responsibilities

• Lead the design and implementation of enterprise data strategies.
• Collaborate with sales team for solution architecture.
• Define data governance frameworks to meet compliance.

Skills

Data strategy leadership

Data architecture

Banking domain knowledge

Data migration strategies

Master Data Management

Tools

PowerDesigner

Spark SQL

PostgreSQL

AWS

Job description

Are you passionate about designing innovative data solutions that align with business strategies and drive organizational transformation? We are seeking a seasoned Data and Analytics lead to lead the design, development, and implementation of enterprise data strategies and architectures. If you have extensive experience in data engagements and a strong background in banking domains, we’d love to hear from you.

Architecture and Strategy

• Understand existing landscapes, client capabilities, and requirements to design scalable, high-performance, and reliable data solutions.
• Build data pipelines to ingest, store, process and publish data, data models and Unit testing
• Develop enterprise data strategies aligned with business objectives, including data roadmaps and transformation projects.
• Design and implement various data architecture models, including data warehouse, integration, and business information models.
• Provide strategic guidance, roadmaps, and detailed implementation plans for data solutions.

Leadership and Development

• Lead cross-functional teams to design and develop data solutions as per proposed architectures.
• Act as the primary point of contact for architecture design and development queries.
• Identify and adopt new technologies and methodologies to enhance performance, automation, and scalability.
• Business Development Support
• Collaborate with the sales team to shape and design solution architectures for proposals.
• Participate in client meetings, addressing technical and strategic concerns.

Governance and Compliance

• Define and implement data governance frameworks, including assessments, roadmaps, and execution plans.
• Ensure compliance with analytical, regulatory, and compliance reporting requirements.

Key Responsibilities

Primary Skills

• 15+ years of experience in data engagements, including leading data strategies, roadmaps, and implementations.
• Expertise in data architecture methodologies, including enterprise data strategy, data models (ER, star schema, normalized/denormalized), and lifecycle management.
• Proven banking domain knowledge and experience with regulatory compliance and reporting.
• Strong experience in data migration strategies, including planning, costing, and execution.
• Master Data Management expertise, with tools such as Informatica MDM, Stibo PIM, Talend Data Fabric.

Technical Proficiencies

• Required Skills: Spark SQL (Python) +ADO CICD; Spark Structure Streaming (Python) + ADO CICD, Java + Spark Scala + ADO CICD
• Data and Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin.
• Databases: PostgreSQL, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake.
• Programming and Scripting: SQL, PL/SQL, NoSQL, Shell scripting, T-SQL, DAX.
• Design Methodologies: Inmon and Kimball methodologies, hierarchical models.
• Cloud and Web Tools: Amazon AWS, WordPress, Google Analytics/GTM.

Additional Skills

• Familiarity with TOGAF for architecture frameworks and DAMA-DMBOK for data management.
• Experience in tools like MS Project, JIRA, and rLean for management.