Job
Description
As a Solution Architect/Business Development Manager at NTT DATA, your role involves driving business growth and delivering innovative solutions in the field of AI/ML. You will be responsible for assessing client business requirements, designing technical solutions, recommending AI/ML approaches, and collaborating with delivery organizations to implement end-to-end solutions. Key Responsibilities: - Business Requirement Analysis: Assess client's business requirements and convert them into technical specifications that meet business outcomes. - AI/ML Solution Design: Recommend the right AI/ML approaches to meet business requirements and design solutions that drive business value. - Opportunity Sizing: Size the opportunity and develop business cases to secure new projects and grow existing relationships. - Solution Delivery: Collaborate with delivery organizations to design end-to-end AI/ML solutions, ensuring timely and within-budget delivery. - Costing and Pricing: Develop costing and pricing strategies for AI/ML solutions, ensuring competitiveness and profitability. - Client Relationship Management: Build and maintain strong relationships with clients, understanding their business needs and identifying new opportunities. - Technical Leadership: Provide technical leadership and guidance to delivery teams, ensuring solutions meet technical and business requirements. - Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. - Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery. Requirements: - Education: Master's degree in Computer Science, Engineering, or related field - Experience: 10+ years of experience in AI/ML solution architecture, business development, or a related field - Technical Skills: - Strong technical expertise in AI/ML, including machine learning algorithms, deep learning, and natural language processing. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Experience with cloud-based AI/ML platforms and tools (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform). - Soft Skills: - Excellent business acumen and understanding of business requirements and outcomes. - Strong communication and interpersonal skills, with the ability to work with clients and delivery teams. - Business Acumen: Experience with solution costing and pricing strategies. - Strong analytical and problem-solving skills, with the ability to think creatively and drive innovation. Nice to Have: - Experience with Agile development methodologies. - Knowledge of industry-specific AI/ML applications (e.g., healthcare, finance, retail). - Certification in AI/ML or related field (e.g., AWS Certified Machine Learning Specialty). Location: Delhi or Bangalore Workplace Type: Hybrid Working NTT DATA is an Equal Opportunity Employer.,
