Technical Project Manager-AI
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Job Description
Job Description:
• Expected Around 10+ - 12Yrs As a Project Manager, you will be responsible for planning, organizing, and executing data-led technology projects for automation (Generative AI/AI/ML/NLP/Computer Vision).
• You will work across data science, engineering, sales teams, and domain experts throughout the lifecycle of projects: from proposal to closure.
Your key responsibilities include:·
• Working with business customers to identify new opportunities with Automation, AI/ML, NLP, Computer Vision, etc. that aligns with department goal·
• Lead and grow the team on Data scientists and AI engineers. Provide tactical leadership and manage AI/ML teams with diverse talents and responsibilities.·
• Manages and leads team, communicates goals and objectives, provides iterative feedback and monitors performance of team members.·
• Contributes to the growth of the organization in acquiring new customers, hiring, training, and mentoring teams for growth and competency development.·
• Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up to date with and extending the state-of-the-art in data science research.·
• Lead teams building new assets and products by supporting the team and assisting to clear QG stages·
• Organizing programs and activities in accordance with the mission and goals of the department and the organization.·
• Developing new programs to support the strategic direction of the department. Identify cross-team dependencies to incorporate them into the program planning process.·
• Developing a budget, operating plan for the program, evaluation method to assess program strengths and identify areas for improvement.·
• Managing schedule, planning, audit, PSR, PQSR, Management review meeting for projects that are being handled·
• Writing funding proposals to guarantee uninterrupted delivery of services.·
• Ensuring project goals are met in areas including customer satisfaction, safety, quality, and team member performance.·
• Meeting with stakeholders to make communication easy and transparent regarding project issues and decisions on services to senior management and cross-functional stakeholders·
• Producing accurate and timely reporting of project status throughout its life cycle. Anticipating risks and mitigation plans.
Requirements:·
• 10+ years of experience in software development lifecycle, 5+ years of experience on AI/ML delivery management·
• Prior experience with accessibility solutions and their technical aspects is a plus.·
• An ability to identify customer needs and translate them into technical and product requirements is a must.· You need to have a customer-first mindset to determine what the customer wants, how they want it, and in what capacity.·
• Prior experience in planning and conducting usability studies among various groups of customers is a preference.
• Experience in conducting usability studies based on accessibility solutions is a plus.·
• Willingness to keep up to date w.r.t. new AI/ML and other niche technologies.·
• Research mindset to understand upcoming trends and technologies and challenge the status quo.·
• Proven experience delivering solutions to customers and managing teams.·
• Excellent communication and interpersonal skills·
• A good understanding of business administration and management·
• Experience with SDLC methodologies such as Agile, Waterfall, SAFe etc.·
• Domain expertise in mobility, healthcare, industry 4.0 would be a bonus.
Requirements
Function: Business Development
Experience Level: Mid-Senior Level