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Delta Air Lines
United States, Georgia, Atlanta
Source: Delta Air Lines careers · View original posting
From Delta Air Lines's posting. “We” and “our” refer to the employer.
It's an exciting time to be part of the Operations Planning and Performance (OP&P) organization as we modernize the data foundations that support the airline operations. OP&P helps Delta operations function as an integrated system; anticipating risks, aligning priorities, and delivering actionable insights that improve operational performance, customer outcomes, and enable profitable growth.
The Data Foundations team is responsible for designing, building, and stewarding trusted, well-governed data products and platforms that enable analytics, engineering, automation, and AI at scale. Our mission is to create the foundational data capabilities that help OP&P make better decisions, operate more efficiently, and accelerate innovation.
To achieve this, we are leading a transformation strategy to:
This role will primarily serve as the team lead in transforming our current data asset portfolio into a trusted foundation of hardened, reusable data products. Working in close partnership with IT, Operations, and Analytics stakeholders, this individual will translate business priorities into clear, delivery-ready requirements while maintaining accountability for business context, data quality standards, stewardship decisions, and realization of business value.
Additionally, this role will provide thought leadership across the Data Foundations team, helping shape and advance capabilities in data management, governance, infrastructure & frameworks.
Develop, document, and steward the operations semantic layer: business definitions, critical data elements, metadata, business rules & logic, ontology, lineage expectations, and data quality standards.
Facilitate functional specification, source-to-target mapping, and transformation logic reviews to confirm that business intent and data meaning are accurately represented before implementation.
Identify opportunities to consolidate redundant data assets and promote the adoption of common foundational data products across multiple business processes and functional domains.
Collaborate with engineering and architecture teams to design and evolve modern data platforms, developer workspaces, and data pipelines that support scalable and reliable data delivery.
Represent OP&P in enterprise data governance councils and working groups, and coach/mentor junior data stewards as the stewardship function scales.
Drive adoption of enterprise data governance standards, stewardship practices, metadata management, data quality processes, and documentation requirements across the Data Foundations domain.
Lead workshops to define business processes, collect operational context, and better understand upstream policy, process and technology workflows that contribute to how data flows.
Partner with Operations, Technology, IT, Analytics, and business stakeholders to identify data needs, define priorities, and translate business requirements into clear, delivery-ready product roadmaps and requirements.
Serve as the product engineer and steward for foundational data assets & products; ensuring alignment on business meaning, data quality expectations, and consumption for OP&P.
Demonstrates that privacy is a priority when handling personal data.
5+ years of experience in data management, product ownership, data engineering, data modeling, data governance, or related discipline.
Experience gathering business requirements and translating business needs into actionable product priorities and acceptance criteria.
Ability to influence, facilitate, and drive consensus across business, operational, analytical, and technology stakeholders.
Demonstrated experience leading cross-functional initiatives with multiple stakeholder groups and competing priorities.
Strong understanding of data governance, data quality, metadata, lineage, master/reference data, and stewardship principles.
Strong analytical and interpersonal skills, with the ability to develop effective relationships and influence without direct authority.
Superior written and verbal communication skills, as well as executive presence to be an effective representative of the business across the organization.
Experience working in Agile delivery environments and partnering with technical teams on data product delivery.
Familiarity with modern enterprise data platforms, cloud data services, data catalogs, or analytics ecosystems.
Applied experience with SQL & Python.
Consistently prioritizes safety and security of self, others, and personal data.
Embraces diverse people, thinking, and styles.
Possesses a high school diploma, GED, or high school equivalency.
Is at least 18 years of age and has authorization to work in the United States.
Experience implementing enterprise data governance frameworks, stewardship workflows, or domain ownership models from the ground up.
Experience defining critical data elements, business glossaries, source-to-target mapping, transformation rules, and data quality controls.
Experience with AWS or other cloud data solutions and services (Lambda, Glue, Redshift, Airflow).
Experience with Git, Agility (VersionOne) & Aha!
Familiarity or experience within operational domains such as Aircraft, Airspace, Airport, Crew and Flights.
Extensive experience serving as a data product owner, product engineer or data steward.
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