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Senior Technical Product Manager – Data
Company | Penn Interactive |
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Location | Philadelphia, PA, USA |
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Salary | $135000 – $165000 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Senior |
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Requirements
- 3+ years of experience in product management in a technical environment
- Experience with Agile software development methodologies
- Understanding/familiarity of the various components of a data pipeline related to data ingestion, transformation, and presentation
- Understanding/familiarity with BI tech stack tooling/components
- Knowledge/Familiarity with SQL
- Experience communicating across diverse cultures, work styles, and personalities.
Responsibilities
- Continuously improving the development and platform maintenance experience for data analytics developers that contribute to the Penn Interactive Business Intelligence Platform
- Defining and prioritizing project work to empower business stakeholder decisions with high quality data analytics outputs
- Collaborating with delivery teams/resources to ensure prioritized work is completed to specification and released for stakeholder use
- Evaluating outcomes and impact of delivered roadmap commitments
- Attending agile ceremonies (standup, backlog grooming, sprint planning) to stay up to speed on what the team is working on using tools like Jira and Confluence
- Setting up and attending meetings across engineering, product, and project management stakeholders to communicate the state of current roadmap priorities and intake new work for review and roadmap prioritization
- Producing documents and artifacts to streamline development and delivery processes for roadmap items
- Collaborate with Data Org leadership to manage the backlog and plan future work iterations for the development team
- Manage day-to-day operations of the team, using tools like JIRA and Confluence
- Coordinate release cycle of production ready solutions and manage cross team dependencies.
Preferred Qualifications
- Familiarity with Cloud Services – Amazon S3, Google Cloud Storage, Amazon Redshift, BigQuery Kafka
- Experience with monitoring tools like DataDog, Splunk, and Prometheus.
- Ability to read source code