Data Entry Jobs 2026 (Now Hiring) – Smart Auto Apply
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Data Product Manager - (AI - Data Platforms)
$175,000 - $215,000 / year
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Overview
Job Description
- Competitive Compensation: $175,000 – $215,000 base salary (depending on experience) + Bonus
- Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide
- Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities
- Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more
- Award-Winning Culture: Collaborative, inclusive, and committed to professional development
- Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation
- Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks
- Own solution vision and roadmap for client data and AI platforms and products.
- Serve as the primary advisor to executive stakeholders, defining objectives, KPIs, and success metrics tied to business value and ROI.
- Translate business requirements into technical direction in partnership with architects, engineers, analysts, and change leaders.
- Lead planning and execution using agile practices across multiple initiatives, managing scope, risk, dependencies, and timelines.
- Establish and track KPIs across business, product, customer, and delivery teams.
- Drive solution quality, adoption, testing, validation, and iteration, connecting solution updates to organizational change needs.
- Support business development by contributing to proposals and participating in client presentations.
- Monitor industry trends in data, analytics, and AI and share insights with internal teams and clients.
- Experience in product management roles focused on data, analytics, or AI platforms.
- Consulting experience managing multiple stakeholders and priorities.
- Working knowledge of cloud data platforms, data modeling, analytics, AI/ML use cases, and data governance concepts.
- Experience leading cross-functional technical and non-technical teams in an agile environment.
- Ability to work directly with executive stakeholders and translate business needs into technical solutions.
- Understanding of product development life cycles, backlog management, and KPI-driven delivery.
- Experience supporting digital, data, or AI transformation programs.
- Proficiency with project and product management tools.
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