Data Product Manager
Key Responsibilities:
Product Strategy & Roadmap:
- Define and execute the product strategy and roadmap for data products.
- Identify opportunities and customer needs to develop data-driven solutions.
- Align product vision with the company’s overall strategy and objectives.
Product & Dataset Catalog Management:
- Develop and maintain a detailed catalog of data products and datasets.
- Ensure the catalog is comprehensive, up-to-date, and accessible to relevant stakeholders.
- Work with data governance and engineering teams to standardize dataset documentation and metadata.
- Promote the catalog internally to ensure teams are aware of available data assets and how to leverage them.
Product Development:
- Collaborate with engineering and data science teams to build and deliver data products.
- Prioritize features, define product requirements, and ensure timely delivery.
- Drive the product lifecycle from concept through launch and iteration.
Data Management:
- Oversee the collection, storage, and use of data, ensuring data quality, security, and compliance with regulations.
- Work closely with data governance teams to establish and maintain data policies.
- Advocate for best practices in data management and usage across the organization.
Customer & Stakeholder Engagement:
- Engage with customers and stakeholders to understand their data needs and pain points.
- Translate customer feedback into actionable product features.
- Collaborate with sales and marketing teams to develop go-to-market strategies.
Analytics & Insights:
- Utilize data analytics to monitor product performance and make data-driven decisions.
- Define key performance indicators (KPIs) for data products and track progress.
- Provide insights and recommendations to improve product outcomes.
Leadership & Collaboration:
- Lead cross-functional teams to ensure successful product delivery.
- Foster a culture of innovation and continuous improvement.
- Mentor and guide junior product managers or team members.
Qualifications:
Experience:
- 5+ years of experience in product management, with a focus on data products or analytics.
- Proven track record of delivering successful data-driven products.
Skills:
- Strong understanding of data management, data governance, and data privacy.
- Proficiency in data analytics tools and techniques.
- Excellent project management skills, with the ability to manage multiple priorities.
- Strong communication and presentation skills, with the ability to convey complex ideas to both technical and non-technical audiences.
- Familiarity with agile methodologies and product development processes.
Education:
- Bachelor’s degree in Computer Science, Data Science, Business, or a related field. MBA or equivalent advanced degree is a plus.
Preferred Qualifications:
- Experience with cloud-based data platforms and big data technologies.
- Understanding of machine learning and AI principles.
- Experience in a fast-paced startup or technology company.
Why Join Us:
- Opportunity to work on cutting-edge data products.
- Collaborative and innovative work environment.
- Career growth and development opportunities.
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We thank you for your interest. Only those selected for an interview will be contacted.
GFL is committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, please contact myworkdayrecruitment@gflenv.com