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Entry LevelFull-timeGitAI
Salary Range
$55,250 - $74,750 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an experienced Product Manager, Data & Analytics to join our Operations & Technology team. This role involves defining and delivering data products using AI technology to provide marketing and viewership insights.
Key Responsibilities
- →Own and drive the product vision and roadmap for multiple data products
- →Translate business needs into clear product requirements, user stories, and prioritized backlogs
- →Drive alignment between business objectives and enterprise data strategy
- →Ensure accurate ingestion, transformation, and data modeling across enterprise analytics platforms
- →Partner with Research and Analytics teams to ensure methodologies align with industry standards
- →Identify opportunities to apply AI, automation, and agent-based solutions to improve insight generation
- →Establish and enforce data quality standards, validation rules, and reconciliation processes
- →Collaborate with Data Governance teams on metadata, data dictionaries, and semantic layers
- →Work closely with Data Engineering and Platform teams to deliver scalable analytics solutions
- →Own acceptance criteria and validate delivered features against business requirements
- →Proactively manage risks related to data changes, vendor updates, and metric deprecations
- →Communicate product roadmap, progress, and impact to executive leadership
- →Act as the primary point of contact for stakeholders across Analytics, Research, Ad Sales, Programming, and Marketing
- →Drive adoption by ensuring products are intuitive, well-documented, and aligned to user workflows
Requirements
- ✓Experience in product management with a focus on data and analytics
- ✓Strong understanding of data modeling, data governance, and analytics platforms
- ✓Ability to translate business needs into technical requirements
- ✓Experience with AI technology and automation solutions
- ✓Knowledge of industry standards for methodologies and metrics
- ✓Excellent stakeholder management and communication skills
- ✓Experience working with Data Engineering and Platform teams
