Director- Data Analytics and AI- Mumbai Location

Title: Director - Data Analytics and AI- Mumbai Location

Location: Mumbai

Experience: 15-20 Years

Title: Director of Business Development - APAC Data Analytics and AI

Location: Bangalore/ Mumbai

Work format: Full time work from office.

Basic Qualifications:

• 10+ years of experience supporting data science projects in a consulting environment.
• Sound experience using Python and/or R to analyze disparate datasets.
• Good understanding of how to integrate major AI and GenAI providers offerings: OpenAI/ Azure OpenAI, AWS, Google, etc.

• Strong experience participating in projects that focused on one or more of the following areas:

1. Predictive Analytics

2. Data Design

3. Statistics

4. AI/ML

5. ML Ops

Job Profile Summary

A visionary leader with a passion for cultivating transformative consulting practices. We are seeking an exceptional individual to spearhead our Data Analytics and AI consulting business across the Asia-Pacific (APAC) region. As the APAC Head of Data Analytics and AI Consulting, you will lead a dynamic journey to establish and expand our data analytics and AI consulting footprint, driving innovation, and delivering unparalleled value to our clients. This pivotal role demands a strategic thinker with a proven track record in building and nurturing high-performing teams, forging strong client relationships, and orchestrating growth strategies tailored to the diverse landscape of the market.

Key Roles and Responsibilities:

Financial and Operational

• Accountable for the profitability of the Data Analytics and AI Consulting Practice.
• Drive aggressive YoY growth.
• Recruit and develop the team of consultants (capability / capacity).

Leading Projects

• Lead projects using expertise in data science, artificial intelligence, and machine learning to develop innovative solutions for complex business problems, ensuring high client satisfaction.
• Define objectives, scope, timelines, and ensure successful outcomes.
• Break down intricate business challenges, devise effective solutions, and focus on client needs.
• Develop innovative solutions for complex business problems, prioritizing high client satisfaction.
• Bring innovative thinking and resourcefulness to achieve successful client outcomes.
• Utilize best practices and creativity to address challenges and deliver impactful solutions.
• Conduct market research, formulate perspectives, and communicate insights to clients and stakeholders.
• Establish strong client relationships, gaining insights into project requirements and challenges.
• Interact at appropriate levels to ensure client satisfaction and project success.

Communication

• Communicate complex technical concepts clearly to non-technical audiences.
• Provide regular updates and comprehensive reports to clients on project progress.

Data Science

• Handle data sets of varying complexity, processing massive data streams in distributed computing environments.
• Implement batch and real-time model scoring for effective decision-making.
• Assemble large, complex data sets meeting functional and non-functional business requirements.
• Apply business acumen to analyze data, develop insightful reports, and solve problems.
• Perform ad hoc analyses based on evolving business needs.
• Participate in the analysis and resolution of issues related to information flow and data content.
• Collaborate with data stakeholders to address challenges and enhance data quality.

Mentorship

• Mentor junior data scientists, fostering professional growth within the team.
• Conduct training sessions to enhance overall data science skills within the organization