Enterprise Data Transformation Leader

3 days ago

San Diego, California, United States Jack in the Box Full time
Job Summary

We are seeking an experienced Enterprise Data Transformation Leader to drive the development and implementation of our data products and common data platform across our portfolio of restaurant brands.

Key Responsibilities
  • Lead data transformation across the organization, defining and building clean and comprehensive data sets, storage and access approaches.
  • Develop and communicate a clear vision and roadmap for data transformation and data products aligned with the company's overall strategy.
  • Build, lead, and mentor the data product and data science functions.
  • Foster a collaborative environment, promoting effective communication and coordination among various internal and external teams involved in the project.
  • Support the strategic initiative by making key data easily available to stakeholders in support of business objectives.
  • Lead the end-to-end product management of the data platform including planning, execution, and monitoring of timelines and milestones.
  • Identify opportunities for, and manage, the application of ML/AI for predictive outputs.
  • Collaborate with internal teams and external vendors to understand inefficiencies, suggest improvements, ensure seamless development, deployment, and operations of the data platform.
  • Manage feature definition and produce user stories. Collaborate with enterprise data tech leads to refine stories to developer-ready status.
  • Guide the product team through the entire product lifecycle, from ideation to development, beta, launch, and sustaining, ensuring that product milestones align with stakeholder and strategic goals.
  • Authors and maintains prioritized backlogs for internal development squads.
  • Actively communicates priorities and timelines to the enterprise data team and stakeholders.
  • Establishes SLAs/SLOs, and observability requirements for data and reporting.
Requirements
  • Bachelor's degree, preferably in Computer Science, Data Science, Marketing, Business, or related field.
  • 10+ years in Product Management and 5+ years building and leading teams with data science and data engineering capabilities.
  • Experience leading and managing large-scale data transformation.
  • Experience managing the application of ML/AI for predictive outputs in the QSR or b2c ecommerce space.
Preferred Qualifications
  • Strong product management skills with a track record of delivering complex technology initiatives on time and within budget.
  • Understands and can simply communicate data transformation and modern data concepts with stakeholders and engineering.
  • Strong understanding of data modeling concepts, relational databases, and SQL, with the ability to work with engineering to optimize data storage and retrieval for performance and scalability.
  • Proven track record of building data integration products from diverse sources, ensuring data quality and consistency across the organization.
  • Familiarity with API integrations, data connectors, and data platforms to streamline data ingestion and synchronization processes.
  • Experience implementing self-serve analytical, automated reporting, and dashboarding solutions using BI tools (e.g., Tableau, PowerBI, Quicksight etc.) and scripting languages (e.g., Python, R) to extract insights from data.
  • Familiarity with AI and machine learning concepts, with the ability to collaborate with data scientists and engineers to develop and deploy AI-driven features and models.
  • Familiarity with AWS tools for data: Sagemaker, Amazon Forecast, Redshift.
  • Excellent communication, interpersonal, and leadership skills, with the ability to collaborate effectively across diverse teams.
  • Strong background in authoring PRDs, user stories, creating roadmaps, and collaborating with stakeholders.
  • Demonstrated success in utilizing data to inform product enhancements and prioritization.
  • Familiarity with agile methodologies and a track record of successful product delivery.
  • Demonstrated integrity and ethical behavior.

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