Overview

　　As a Principal Financials Data Portfolio Lead, you will be responsible for leading complex data and analytics strategic project work as a part of a larger cross-functional team in support of multiple lines of business focused on the lifecycle of the Financials data domain. Principal Data Portfolio Leads design and implement necessary role clarity, process, and implementation requirements on technically complex projects, focusing on developing cross-functional solutions with input from multiple parties across the business, DTT, and Enterprise Data & Analytics to develop and maximize the value of financial data assets. They must be able to quickly develop mastery of the Financials domain needs across the many lines of business that interact with the data assets within the portfolio, influencing strategic direction and impact of related programs, projects, and outcomes, while overseeing the delivery of high quality, broadly consumable, and discoverable financial data assets from source system to consumption.

　　Our Principal Data Portfolio Leads typically work with extensive latitude for action or decisions on projects that are very complex and cross-functional in nature, acting as a subject-matter-expert on the Financials data domain, while facilitating the lifecycle of data-as-a-product by influencing the project prioritization and execution of multiple DTT audience teams and business data & analytics teams. They may represent ED&A in external conversations and will regularly assist with the selection or oversight of outside vendor partners.

　　Successful candidates for this role must have strong analytical and data modeling skills, a deep understanding of data product lifecycle, database technology and data use within analytic platforms, and they must have strong strategic thinking, communication, and project management skills, including prioritization and the ability to make difficult trade-off decisions. We expect our Principal Data Portfolio Leads to have demonstrated fluency and competency across the technical-functional spectrum, able to effectively interface with diverse audiences including DTT, insights analysts, data scientists, and other business leaders. They should have experience developing and implementing data models for broad business use and a moderate level of experience with cloud database architecture. They will need to be fast learners with a keen eye for detail, systems thinking, and process design. They must be team players who work steadfastly to create impactful change.

　　Our Flexible Future model offers a healthy mix of working in person and remotely, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

　　 Responsibilities

　　Exhibits extensive latitude in aligning business stakeholders and DTT to translate business logic into scalable data and analytic solutions on highly complex projects, from source system enhancements to data asset consumption. Casts vision and strategy for the data portfolio, based upon feedback from stakeholders across the enterprise, and is responsible for the data portfolio roadmap. Coordinates portfolio team delivery of outcomes, including backlog management, focused on the development and delivery of consumable, high quality, discoverable, and interpretable financial data products for broad business consumption, establishing patterns for repeatable, scalable products that others can leverage in their work, ensuring that deliverables meet the defined functional requirements, and maximize the value of the data asset within the enterprise. Supports data product best practices for the data & analytics communities, advising on their integration into analytical and operational practices, including documentation and communication strategy. Owns and is accountable for data consistency, integration, and availability through quality review and any relevant documentation for data within the Financials domain. Responsible for implementation of data governance and master data management principles across the domain lifecycle. Act as a subject-matter-expert and resource on Financial specific data issues for the larger communities of practice, proactively communicating issues and resolution. Drives highly complex projects to success and enables others to own the impact. Identifies capability gaps and opportunities and provides feedback to the Data Programs team for future capability development.

　　 Minimum Qualifications

　　Has a minimum of 5 years of experience Has strong analytical and data modeling skills Has a deep understanding of database technology Has a deep understanding of analytic platform data use Has experience developing and implementing data models for broad business consumption Has moderate experience with cloud database architecture Has the skill to partner with cross-functional teams using strong written and verbal communication Has the skill to continually prioritize and influence across multiple audiences Fast learner and proven problem solver Keen eye for system thinking and process design, especially with respect to scalability and automation Keen eye for detail and thoughtful investigation of data Has a steadfast focus on creating impactful change

　　 Preferred Qualifications

　　8-10 years' experience Has strong programming skills in SQL and/or Python Has strong experience using the AWS big data technology stack Has extensive experience with Alteryx or similar ETL platforms Has extensive experience with Tableau or similar data visualization tools

　　 Minimum Years of Experience

　　5

　　 Travel Requirements

　　10%

　　 Required Level of Education

　　Bachelor's Degree

　　 Preferred Level of Education

　　Masters Degree

　　 Major/Concentration

　　MIS, Decision Sciences, Engineering, Business Analytics, Computer Science, or other similar fields