Lead Data Product Manager

🔥 19 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Workiva

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.

📋 Description

• Own the data product roadmap and partner with Finance and People & Culture leaders to identify data gaps and prioritize opportunities • Design data products supporting BI tools, AI-enabled experiences, and business applications • Translate business objectives into clear requirements and challenge assumptions early • Serve as a strategic data partner across stakeholders, Analytics, and Data Engineering • Build prioritization frameworks and communicate trade-offs • Own the full product lifecycle from discovery through Alpha, Beta, and GA releases • Define semantic contracts, including field definitions, metric logic, and data grain specifications • Identify reusable data assets and scalable models for downstream use cases • Maintain accuracy, freshness, and reliability of data products • Use AI tooling for requirements synthesis, SQL validation, catalog generation, and data pattern analysis • Define success metrics and measure adoption and business impact • Gather post-launch feedback and continuously improve products • Partner with Data and Analytics Engineering on semantic layer design and dbt transformations • Improve ingestion, transformation, and delivery processes • Lead Agile delivery cycles by translating roadmap priorities into Initiatives and Epics with acceptance criteria • Lead data catalog efforts, including discoverability, lineage tracking, and documentation • Champion data quality, governance, access controls, retention, and responsible data usage • Present data stories and develop workshops, documentation, and training • Build AI literacy and contribute reusable components, patterns, and best practices

🎯 Requirements

• 6+ years in product management, with 3+ years focused on data products, analytics platforms, or data infrastructure • Demonstrated experience building data products in a Finance, HR, Legal, operations, or similar business domain • Bachelor’s degree in Engineering, Computer Science, Data Science, Business, or equivalent experience • Proven ability to operate in greenfield or early-stage data environments • Strong understanding of data pipelines, dimensional modeling, semantic layers, and modern analytics stacks • Solid understanding of data governance principles, including metadata management, lineage, quality frameworks, and access controls • Proficiency in SQL with the ability to independently query and validate data • Exceptional stakeholder management skills across senior business and technical audiences • Background in SaaS or product-led growth companies • Experience with data catalog platforms such as Atlan or Alation • Familiarity with AWS, Snowflake, dbt, Fivetran, Airflow, Quicksight, Omni, Sigma, SageMaker, Python, Pandas, Seaborn, Jira, Confluence, and Figma • Reliable internet access for remote work

🏖️ Benefits

• Up to 10% travel for team events and internal company meetings • Reliable internet access required for remote work • Remote work from any location within the employee's country of employment • Comprehensive security and privacy training • Equal opportunity employment • Reasonable accommodations for applicants with disabilities