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, aligning to the industry to exploit the depth of knowledge and professional experience.
Solution Development: Develop and implement innovative IA solutions, including designing and developing data structures and integration processes to support Big Data, Analytical models, and traditional BI/DW reporting solutions using relational and non-relational data management technologies and Cloud technologies.
Data Integration: Design and develop data integration processes with a variety of structured and unstructured data using tools such as Informatica, Talend, or AWS Glue, Azure Data Factory, and/or Google Cloud Data Fusion.
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.
Predictive Analytics: 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.
Generative AI: Develop and implement Large Language Models (LLMs) and Generative AI in actual business processes.
Governance: Apply core complementary information management disciplines including Data Governance, Data Quality, Master Data Management (MDM), and Metadata management.
Market Presence: Strengthen Deloitte’s presence in the market, 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.
Requirements & Skills:
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 Big 4 or MNC 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.
