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Senior Technical Product Manager – Data

Senior Technical Product Manager – Data

CompanyPenn Interactive
LocationPhiladelphia, PA, USA
Salary$135000 – $165000
TypeFull-Time
Degrees
Experience LevelSenior

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