Lead Data Product Manager

6 days ago

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Workiva

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Government Reporting • Internal Controls • Section 16 • SEDAR Reporting • SOX

1001 - 5000 employees

Founded 2008

☁️ SaaS

🏢 Enterprise

💸 Finance

💰 $689.3k Venture Round on 2014-10

Description

• Own the end-to-end lifecycle of strategic data products, from ideation to launch • Collaborate with cross-functional teams including engineering, analytics, and business partners • Define a clear vision, establish scalable frameworks, and ensure data capabilities deliver measurable value • Bridge the gap between business needs and technical solutions • Shape innovative data products that empower stakeholders to make informed decisions • Engage with data users pre-and post-launch to ensure products meet intended outcomes • Define success metrics and KPIs to track adoption, accountability, and impact • Partner with various teams to design and implement scalable data models, pipelines, and analytical solutions • Identify opportunities to streamline data ingestion, transformation, and delivery processes • Foster a data-driven culture through compelling storytelling and enablement resources for teams

Requirements

• 8+ years of product management experience in a related industry • Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field, or equivalent technical experience • Proven track record of delivering impactful data products that drive business growth and innovation • Background in SaaS or experience working with subscription-based business models • Deep understanding of data architecture, ETL processes, APIs, machine learning, and analytical best practices • Strong understanding of data pipelines, databases, data models, and analytics platforms • Exceptional communication and stakeholder management skills, bridging technical and non-technical audiences • Proven ability to lead cross-functional teams in defining product vision, establishing requirements, coordinating resources, and navigating key milestones • Ability to analyze and use data to inform decision-making and product prioritization • Entrepreneurial spirit with a beginner’s mindset and the ability to execute complex product initiatives • Experience with tools such as Cloud Platforms (AWS, Snowflake), Data Technologies (Redshift, BigQuery, Fivetran, Airflow, dbt), Visualization Tools (Quicksight, Superset, Python libraries), and Analytics (SQL, SageMaker)

Benefits

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package