What are the responsibilities and job description for the Director- Data and AI position at Incedo Inc.?
Role Overview
We are seeking a dynamic and results-driven professional to lead sales and delivery initiatives within our Data and AI practice. The ideal candidate will be responsible for driving business growth, managing delivery excellence, and collaborating with cross-functional teams to provide cutting-edge Data and AI solutions to clients.
Key Responsibilities
Sales Leadership:
- Develop and execute strategies to drive sales growth for Data and AI services.
- Identify and engage with potential clients to build a robust sales pipeline.
- Present tailored Data and AI solutions to clients, showcasing business value and innovation.
- Collaborate with internal stakeholders to create winning proposals and close deals.
Delivery Management:
- Oversee the delivery of Data and AI projects, ensuring timely and high-quality outcomes.
- Act as the primary point of contact for clients during the project lifecycle.
- Manage cross-functional teams, including data engineers, data scientists, and consultants.
- Ensure alignment with client objectives and adherence to project budgets and timelines.
Practice Development:
- Drive innovation by staying updated on Data and AI industry trends and emerging technologies.
- Foster a culture of continuous learning and professional development within the team.
- Collaborate with leadership to develop and enhance service offerings.
Required Skills and Qualifications:
- Proven track record in sales and delivery of Data and AI solutions.
- Strong understanding of Data and AI technologies, tools, and frameworks (e.g., Azure AI, AWS ML, Data Lakes, etc.).
- Exceptional communication, negotiation, and client relationship management skills.
- Experience managing large-scale projects and leading cross-functional teams.
- Analytical mindset with the ability to translate business needs into technical solutions.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Preferred Qualifications:
- Experience working in a consulting environment.
- Knowledge of key industries (e.g., finance, healthcare, retail) and their Data and AI use cases.
- Certifications in Data and AI technologies or methodologies (e.g., AWS, Azure, Google Cloud, or Agile).
