Data Specialist (Manager / Senior Manager)

PricewaterhouseCoopers; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading professional services firm is seeking a Data Governance Consultant in Singapore. The role involves implementing data governance platforms, designing enterprise data models, and developing data architectures to support AI solutions. Ideal candidates will have over 10 years of experience in data architecture and extensive consulting experience in the region. Strong expertise in data modeling and governance tools is required.

Qualifications

• 10+ years of experience in data architecture and data warehousing.
• 8+ years in consulting experience in Singapore and region.
• Strong expertise in data modeling and governance.

Responsibilities

• Implement Data Governance platforms.
• Design and maintain enterprise data models.
• Develop and optimize data warehouse architectures.

Skills

Data Governance implementation

Data modeling

Data warehousing

Data integration

Stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Informatica

Snowflake

AWS

Azure Data Factory

Databricks

Job description

Job Summary

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

Our Risk Services Practice provides an invaluable safeguard in today’s complex operating environment with insights and independent assurance. We work with clients to deliver business control to help them to protect and strengthen every aspect of their business from people to performance, systems to strategy, business plans to business resilience. We help clients manage, mitigate and control risks from potential cybersecurity breaches to possible breaks in the supply chain. We assess and prepare businesses by looking into their technology, finance, data analytics, regulatory requirements, data security and privacy, internal audit, and the third parties our clients rely on, to help clients deliver quality results and meet their strategic objectives.

How you add value

• Implement Data Governance platforms to enable glossary, metadata/lineage scanning, and data quality rules build
• Design and maintain enterprise data models, including dimensional modeling, database normalization, and conceptual / logical / physical data models
• Develop and optimize data warehouse, ODS and data mart architectures to support AI and BI solutions
• Establish Master Data Management (MDM) frameworks and tools for consistent and accurate reference data
• Define and implement data quality management practices, ensuring data integrity, accuracy and compliance
• Develop and enforce data governance policies, standards and procedures across the organization
• Partner with business and IT stakeholders to drive data stewardship, ownership and accountability
• Ensure compliance with regulatory and industry standards (e.g. BCBS 239, GDPR, MAS Requirements).

About you

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering or related field
• 10+ years of experience in data architecture, data warehousing, and enterprise data integration
• 8+ years in consulting experience in Singapore and regionally
• Strong expertise in Data Modeling: Dimensional modeling, Normalization
• Data Governance: Informatica CDC, Alation, Collibra
• Data Platforms: Databricks, Snowflake, Cloud native data solutions
• Big Data: Hadoop ecosystem, Spark, or equivalent
• ETL / ELT: Informatica, Talend, Azure Data Factory, AWS Glue, or similar
• Cloud Platforms: AWS, Azure, GCP (certifications a plus)
• Solution Architecture: TOGAF, SOA, APIs, Microservices
• Proven track record of implementing data management solutions in large organizations
• Excellent communication & stakeholder management skills with the ability to bridge technical and business requirements