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Company Overview: This professional services network provides a comprehensive suite of services to clients globally, encompassing audit, consulting, financial advisory, risk advisory, tax, and legal services. The firm’s services are tailored to meet the diverse needs of clients across various industries, helping them navigate complex business challenges, mitigate risks, and achieve sustainable growth.
Senior Manager – Artificial Intelligence & Data
Key Responsibilities:
Client Engagement:
Lead the delivery of client work, managing a cross-service line team for major projects.
Take ownership of practice development and business management activities to grow the AI&D practice.
Identify and pursue new business opportunities.
Solution Development:
Develop and implement innovative AI solutions, including designing and developing data structures and integration processes.
Design and develop data integration processes with a variety of structured and unstructured data1 using tools such as Informatica, Talend, or AWS Glue, Azure Data Factory, and/or Google Cloud Data Fusion.
Design modeling approaches and solutions, applying analytical models to predict business outcomes using tools such as Dataiku, AWS Sagemaker, GCP VertexAI, TensorFlow, Keras, or PyTorch.
Develop and implement Large Language Models (LLMs) and Generative AI in actual business processes.
Data Visualization:
Partner with business users to co-design impactful visual, interactive dashboards and reports using technologies such as QlikView, Tableau, Spotfire, PowerBI, AWS QuickSight, and Google Looker.
Data Governance:
Apply core complementary information management disciplines including Data Governance, Data Quality, Master Data Management (MDM), and Metadata management.
Market Presence:
Strengthen market presence, identify revenue-generating opportunities, and get involved in proposal writing and pitch presentations.
Client Relationships:
Build and maintain trusted relationships with key clients and maintain project portfolio/pipeline.
Your Role as a Leader:
Visionary Leadership: Inspire and lead a team of professionals to achieve strategic goals and drive innovation.
Client Centricity: Build and nurture strong client relationships, understanding their needs and delivering tailored solutions.
Team Development: Mentor and develop team members, fostering a culture of continuous learning and growth.
Strategic Thinking: Align team efforts with broader business goals and market trends, driving sustainable growth.
Integrity and Inclusion: Promote a culture of integrity, respect, and inclusion, valuing diverse perspectives.
Thought Leadership: Represent the company as a thought leader in AI & Data, contributing to industry forums and publications.
Requirements:
Educational Background: A good honors Degree, preferably at the postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics, or related disciplines.
Experience:
Extensive experience in a consulting firm or equivalent industry role, with a minimum of 10 years of relevant experience and solid experience in the sales cycle and leading project teams.
Strong experience directly interfacing with senior business and IT stakeholders for clients.
Technical Expertise:
Proficiency in programming languages such as Scala, Python, or R.
Extensive experience with relational and non-relational data stores, and building data ingestion and transformation pipelines using Big Data technologies and ETL tools.
Proficiency in cloud Data Engineering, including implementing Azure Data Factory, AWS Glue, Google DataProc, or Google DataFlow.
Familiarity with Agile methodologies and tools like Git, Subversion, or Mercurial.
General knowledge of Linux/Unix operating systems and Shell scripting.
Interpersonal Skills:
Exceptional problem-solving skills, client-focused mindset, and results orientation.
Outstanding communication, presentation, and negotiation skills in English.
Consulting Lifestyle: Ability to travel and adapt to the consulting lifestyle.
Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
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No Liability: SpringCube is not liable for inaccuracies.
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