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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
product managementAImachine learningdata governancedata qualitymetadata managementdata catalogingdata lineageAgile development methodologiescloud platforms
Soft Skills
communicationpresentationinterpersonal skillsleadershipstrategic thinkingbusiness acumencustomer-centric approachinfluencing stakeholders
Tools & Technologies
AWSAzureGCP
Certifications & Qualifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringMBA or advanced degree
Industry Keywords
data complianceGDPRCCPAproduct lifecyclemarket researchcompetitive analysiscustomer engagementproduct positioninggo-to-market strategiesproduct performance metrics
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Define and drive the product vision, strategy, and roadmap for AI-Powered Metadata & Data Quality solutions
- Conduct in-depth market research, competitive analysis, and customer engagement to identify market opportunities, customer pain points, and emerging trends in AI, data governance, and data quality
- Translate complex customer needs and market opportunities into detailed product requirements, user stories, and acceptance criteria for engineering teams
- Collaborate closely with engineering, data science, design, and other cross-functional teams to ensure successful product development and delivery
- Lead the entire product lifecycle from concept to launch and post-launch optimization
- Work with sales, marketing, and field enablement teams to develop compelling product positioning, messaging, and go-to-market strategies
- Champion product adoption and customer success through strong advocacy, thought leadership, and engagement with key customers and partners
- Monitor and analyze product performance metrics, identifying areas for improvement and driving continuous product enhancements
- Stay abreast of industry trends, technologies, and best practices in AI, machine learning, data management, and data governance
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, or a related technical field
- MBA or advanced degree is a plus
- 10+ years of experience in product management, with a strong focus on AI/ML, data platforms, data governance, or data quality products
- Proven track record of successfully defining, launching, and managing enterprise-grade software products in a fast-paced environment
- Deep understanding of metadata management, data cataloging, data lineage, and data quality concepts and technologies
- Strong knowledge of AI/ML concepts and their application to data management challenges
- Experience with cloud platforms (AWS, Azure, GCP) and hybrid cloud environments
- Experience with regulated industries and data compliance (e.g., GDPR, CCPA)
- Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences
- Demonstrated ability to lead cross-functional teams and influence stakeholders at all levels
- Strategic thinker with a strong business acumen and a customer-centric approach
- Experience with Agile development methodologies
Benefits
Comp & perks- Generous PTO Policy
- Support work life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups
