Chief Data Scientist, Data & AI Advisory
Role details
Job location
Tech stack
Job description
Inviting applications for the role of Chief Data Scientist, Data & AI Advisory This role will lead and shape enterprise-level Data and AI advisory services helping clients define build and scale AI-led transformation programs and build new business capabilities. The ideal candidate will bring deep experience in domain-led AI and analytics consulting data strategy Gen AI and AI-led business transformation combined with strong advisory and client-facing leadership. Responsibilities:
- Client Advisory
- Lead on client engagements to drive AI/Agentic led transformation of business operations incl.
- business case process redesign Tech and AI solutions etc.
- Build and maintain strong relationships with key clients understanding their business needs and technology challenges.
- Guide clients in reimagining their AI and data strategies with hyper focus on generating new business value leveraging AI services and optimizing enterprise structures.
- Provide strategic advice and recommendations to C-level executives and other senior stakeholders.
- AI Solution Leadership
- Oversee the design and implementation of comprehensive enterprise architecture solutions that align with clients' strategic goals.
- Ensure the integration of AI services into clients technology frameworks to drive innovation and efficiency.
- Monitor project delivery ensuring high-quality outcomes and adherence to timelines and budgets.
- Drive responsible AI practices including model risk explainability and compliance.
- Strategic and Business Leadership
- Manage a portfolio of accounts with accountability for growth
- Define and shape new offerings go-to-market campaigns
- Build and lead high-performing teams of AI strategy consultants data scientists and AI Architects
- Establish AI-first operating models governance frameworks and best practices.
- Innovation and Thought Leadership
- Stay abreast of emerging trends and advancements in AI enterprise architecture and related technologies.
- Promote and drive the adoption of best practices and innovative solutions within the consulting practice.
- Represent the company at industry conferences seminars and other events establishing thought leadership in enterprise architecture.
Requirements
Do you have experience in Machine learning cloud services?, Do you have a Master's degree?, Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science, Azure Data Engineering (DP-203) - MicrosoftMicrosoft, Databricks Data Engineer Associate - Databricks AcademyDatabricks Academy, Microsoft Azure Data Fundamentals - MicrosoftMicrosoft, Microsoft Certified: Azure Data Fundamentals (DP-900) - MicrosoftMicrosoft, Microsoft Certified: Power BI Data Analyst Associate - MicrosoftMicrosoft
Required Skills Adaptive Technology, Adaptive Technology, Agile Methodology, Amazon SageMaker, Anticipatory Capability, Artificial Intelligence (AI), Asset Management, Automated Machine Learning (AutoML), Change Management, CI/CD, Client Relations, Collaboration Tools, Commercial Excellence, Commercial Modeling, Computer Vision, Context Awareness, Continuous Delivery, Continuous Integrations, Continuous Testing, Data Provisioning, Data Validation, Design Thinking, Embedded Systems, Executive Presence, Inclusion {+ 12 more}
Language English
Language Proficiency - Proficient - C2