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Manager - Artificial Intelligence & Data - ID

2 months ago

Jakarta, Jakarta, Indonesia Deloitte SEA Full time

Deloitte is seeking a Manager to lead the Artificial Intelligence (AI) & Data team in Southeast Asia, driving the growth of IA business and creating, selling, and delivering AI & Data solutions.

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and our WorldImpact portfolio of initiatives focuses on making a tangible impact on society's biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive, and sustainable business practices.

This role sits within the AI & Data team, which leverages the power of data, analytics, robotics, science, and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. We help clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Key Responsibilities:

  • Client Engagement: Deliver client work and lead a cross-service line team for major deliverables and projects, working as a key business partner to high-profile clients, developing expertise from strategy to execution.
  • 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.
  • 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 GCP Looker.
  • Predictive Analytics: Design modeling approaches and solutions, applying analytical models to predict business outcomes using tools such as Dataiku, AWS Sagemaker, GCP VertexAI, and languages like Python or R.
  • 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 trusted relationships with key clients and provide strategic insights and solutions across various industries, including Energy and Resources, Public Sector, Financial Services, Life Sciences and Health Care, Consumer Business, Manufacturing, and Telecommunications.

Your role as a leader:

  • Demonstrate a strong commitment to personal learning and development.
  • Understand how your daily work contributes to the priorities of the team and business.
  • Understand the set expectations and demonstrate accountability in keeping personal performance on track.
  • Actively focus on developing effective communications and relationship-building skills with stakeholders, clients, and team.
  • Demonstrate an appreciation for working with others.
  • Understand what is fundamental to Deloitte's success as a business.
  • Demonstrate integrity and an awareness of strengths, differences, and personal impact.
  • Develop your understanding of Deloitte and offer a fresh perspective.

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 Big 4 or MNC Consulting firm or equivalent industry role, with a minimum of 8 years of relevant experience and solid experience in the sales cycle and leading project teams.
  • Technical Expertise: Proficiency in programming languages such as Scala, Python, or R, and extensive experience with relational and non-relational data stores, and building data ingestion and transformation pipelines using Big Data technologies and ETL tools.
  • Interpersonal Skills: Exceptional problem-solving skills, client-focused mindset, and results orientation, and outstanding communication, presentation, and negotiation skills in English.