Director, Financial Services Consulting - Geylang

• Originate and sell large data and AI (Generative/ Traditional) programmes that serve complex multinational financial services sector organisations with a focus on ASPAC priority clients across the region
• Advise FS clients across Banking, Insurance and Asset Management/ Private Equity on their data management programmes across the Data lifecycle - including but not limited to governance, quality, lineage, architecture and operating models
• Lead and deliver complex client engagements that analyse data environment, enterprise requirements and subsequent organisational transformation for large-scale businesses
• Support the safe delivery of large data transformation projects for KPMG by designing the safe and engineered delivery of change
• Develop a financial services specific set of client value propositions and service catalogue in Data and AI for ASPAC member firms that aligns to the global firm strategy, areas of investment and is tailored to client demand and priorities
• Work with other ASPAC member firms to identify and build the resourcing requirements for a regional FS Data and AI capability that will meet the increasing client demand across the region
• Develop and build a community of practice that helps identity and convert emerging client demand, working closely with the global firms’ field of play priorities
• Build KPMG external market presence by working with member firms to establish external marketing and sales campaigns – be the face of the firm at key industry events, programmes and regulatory working groups
• Establish and deliver technologies, tools, approaches and methodologies to enable the management of data within financial service organisations
• Translate complex business requirements into scalable multidisciplinary solutions to solve cross-team problems at scale and delight internal customers
• Design and develop client Data and AI Platforms to scale to support additional use cases. Identify opportunities for product innovation and shape design proposals for taking this forward
• Develop firm-wide data architecture standards & guidelines, and work with business and IT teams to ensure architecture requirements are captured and addressed by designs that uphold the firm-wide principles and standards
• Mentor and guide junior staff and help build a positive team culture

The ideal candidate should possess:

• Master’s degree in business administration, Computer Science, Information Systems, Data Science or equivalent
• Minimum 20 years of working experience in Data Management and FS AI with proven experience on delivering transformation projects such as platform modernization, operating model definition & Implementation, process re-design, data governance and regulatory compliance
• Demonstrated experience in industry and consulting domains leading the strategy, plan and design of Data roadmap and solutions to support business and operations across the organization
• Demonstrated track record in originating and selling complex FS data and AI client projects
• Demonstrated ability in providing technical leadership developing internal teams and capabilities as well as building out external business partnerships
• Excellent working experience with cloud technology and providers such as Microsoft, OpenAI, Anthropic, Quantexa, Abinitio, Palantir etc.
• Proficiency in Python, Java, SQL, AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow)
• Experience in large data warehouses, Big Data technologies, infrastructure components, ETL/ ELT and reporting/analytic tools
• Experience in designing solutions utilizing one or more emerging technologies (e.g., cloud, GenAI and machine learning) to deliver business value which are secure, scalable, reliable and effective for adoption
• Strong client and stakeholder management abilities coupled with excellent communication, written, analytical, organisational and problem-solving skills