Shipping & handling responsibilities
- Lead and coordinate cross-functional projects, ensuring alignment between R&D, finance, and go-to-market (GTM) teams to deliver on roadmap objectives
- Manage and prioritize the execution of strategic initiatives, such as data infrastructure modernization, centralized data ingestion pipelines, and self-service reporting tools
- Drive the adoption of scalable, reusable solutions across the organization, fostering a culture of data democratization
- Establish and maintain program-level documentation, including project plans, timelines, risk assessments, and status reports for stakeholders
- Partner with engineering to implement data governance frameworks, improve data reliability, and enhance observability across the platform
- Act as the primary point of contact for key internal customers, ensuring their data needs are met effectively and efficiently
- Develop metrics to measure project success, iterate on process improvements, and ensure continuous alignment with strategic business goals
Do you tick the boxes?
- Bachelor’s degree in Computer Science, Information Systems, or a related field; or equivalent work experience
- 10+ years of experience as a Technical Program Manager, Product Manager, or similar role in data, analytics, or software engineering
- Proven ability to manage complex technical projects from concept to delivery, including coordinating across teams and managing dependencies
- Strong understanding of modern data platforms, pipelines, and analytics tools, including familiarity with technologies like Databricks, Kafka, or Looker
- Excellent problem-solving and organizational skills, with the ability to manage multiple priorities in a fast-paced environment
- Exceptional communication and stakeholder management skills, with the ability to tailor messages to technical and non-technical audiences
- Demonstrated experience with agile methodologies and program management tools (e.g. JIRA, Confluence)
Bonus
- Experience scaling data platforms for growth-stage businesses
- Familiarity with data governance and compliance requirements
- Hands-on experience with curated datasets or customer-facing data products
- Background in software or data engineering is a strong plus
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