
Senior Data Strategist
2 weeks ago
Job Title: Senior AI Transformation Lead
About the Role:
- We are seeking a seasoned professional to lead our AI transformation initiatives, driving business growth through innovative data-driven solutions.
- As a Senior AI Transformation Lead, you will engage with clients to understand their goals, challenges, and workflow gaps, conducting detailed discovery sessions to assess existing data infrastructure and identify AI opportunities.
- You will recommend tailored solutions aligned with each client's use case, designing scalable data pipelines and AI-ready data layers ensuring data quality and integrity.
- Develop and deploy AI/ML models and intelligent agents integrated with business operations, ensuring all solutions align with clients' data security, privacy, and compliance requirements.
- Collaborate with internal teams to ensure smooth delivery, adoption, and long-term success of AI solutions.
- Communicate technical solutions clearly to both technical and non-technical stakeholders.
Key Responsibilities:
- Client Engagement: Engage with clients to understand their goals, challenges, and workflow gaps.
- Data Infrastructure Assessment: Conduct detailed discovery sessions to assess existing data infrastructure, sources, and readiness for AI.
- Solution Design: Identify AI opportunities and recommend tailored solutions aligned with the client's use case.
- Technical Leadership: Design scalable data pipelines and AI-ready data layers ensuring data quality and integrity.
- Solution Deployment: Develop and deploy AI/ML models and intelligent agents integrated with business operations.
- Compliance and Security: Ensure all solutions align with clients' data security, privacy, and compliance requirements.
- Collaboration: Collaborate with internal teams to ensure smooth delivery, adoption, and long-term success of AI solutions.
Required Skills and Qualifications:
- AI Experience: 3+ years of experience in AI/data transformation roles at a consulting or technology services company.
- Leadership: Proven experience in engaging enterprise clients and leading AI strategy and execution.
- Technical Expertise: Strong knowledge of data engineering, cloud data lakes, and modern AI/ML development workflows.
- Programming Skills: Hands-on experience with Python, SQL, and ML frameworks like scikit-learn, TensorFlow, or PyTorch.
- Familiarity with Emerging Technologies: Familiarity with LLMs, AI agent frameworks (e.g., LangChain, RAG), and vector databases (e.g., FAISS, Qdrant).
- Cloud Experience: Experience with cloud platforms like Azure, AWS, or GCP.
- Regulatory Knowledge: Strong understanding of data security and regulatory compliance in solution design.
- Communication Skills: Excellent communication and stakeholder management skills.
Benefits:
- Promoting a culture of innovation
- Providing opportunities for professional growth and development
- Maintaining a collaborative and inclusive work environment
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