Product Manager

1 month ago


Bengaluru, India SmartQ Full time
As a Product Manager for Data & AI, you will be responsible for driving the vision, strategy, and execution of data and AI-driven products and features. You will collaborate with cross-functional teams to ensure our solutions meet user needs and align with our business objectives.

Key Responsibilities:

- Product Strategy: Define and communicate the product vision and roadmap for data and AI products, ensuring alignment with company goals and user needs.- AI Integration: Identify opportunities to incorporate AI and machine learning into existing products and new offerings, enhancing user experience and operational efficiency.- Market Research: Conduct market analysis to identify trends in data and AI, customer needs, and the competitive landscape to inform product development.- Stakeholder Collaboration: Work closely with engineering, data science, design, marketing, and sales teams to develop and launch data and AI products that drive business value.- User Insights: Gather and analyze user feedback to prioritize features and enhancements, ensuring that our data and AI products are user-centric.- Performance Metrics: Establish KPIs and monitor product performance, particularly in AI effectiveness, to inform future improvements and demonstrate the value of data initiatives.- Data Governance: Collaborate with data teams to ensure adherence to data governance and compliance standards, while promoting best practices in data management and AI ethics.- Documentation: Create and maintain clear product documentation, including user stories, requirements, and technical specifications.

Must-Have Requirements:

- Bachelor’s degree in business, Computer Science, Data Science, or a related field; master’s degree preferred.- 3+ years of experience in product management, with a focus on data and AI products or analytics.- Strong understanding of data analytics, machine learning, AI technologies, and data management principles.- Proven ability to lead cross-functional teams and manage multiple projects simultaneously.- Excellent analytical, problem-solving, and decision-making skills.- Strong communication and interpersonal skills, with the ability to convey complex concepts to non-technical stakeholders.- Experience with agile methodologies and product management tools (e.g., Jira, Trello).

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