Job
Description
Your day at NTT DATA We are seeking an experienced Solution Architect/Business Development Manager with expertise in AI/ML to drive business growth and deliver innovative solutions. The successful candidate 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. What you'll be doing 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. Technical Skills: Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Technical Skills: Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Hyperscaler: Experience with cloud-based AI/ML platforms and tools (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform) Softskill: Excellent business acumen and understanding of business requirements and outcomes Softskill: Strong communication and interpersonal skills, with ability to work with clients and delivery teams Business Acumen: Experience with solution costing and pricing strategies with Strong analytical and problem-solving skills, with 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)
