Descripción

The Role

The Business Data Architect serves as the organization’s data governor, thought leader, and subject-matter expert, driving continuous improvement in the quality, efficiency, control, and business use of the team’s data across its lifecycle.

In this role, you will have the autonomy to help design and develop a new data environments that empowers Field Teams, Dealers, and Senior Leadership with insights that improve dealer network decision-making, operational performance, and sales outcomes for GM. The successful candidate will be assertive, self-starting, highly collaborative, and effective at translating business needs into practical data architecture, governance, and control solutions.

What You'll Do (Responsibilities)

Develop and own the data governance framework in partnership with business, legal, and technology teams.
Define and maintain data governance policies, standards, and procedures aligned with security, privacy, and regulatory requirements.
Lead cross-functional governance councils to align priorities, resolve issues, and drive adoption of data standards.
Identify critical data domains and establish clear ownership, stewardship, and accountability models.
Maintain an inventory of Sales Support data sources and ensure proper security, access, and usage controls.
Design and evolve data architecture, models, and shared reporting structures to support business, analytics, and operational needs.
Define and manage metadata, business definitions, and data rules in glossaries, catalogs, and related repositories.
Document end-to-end data flows, including sourcing, transformations, storage, usage, and ownership.
Establish controls, monitoring, and data quality metrics/dashboards to ensure accurate, timely, and consistent data.
Partner with business and technology teams to design controls, remediate data quality issues, and drive sustainable process improvements.
Optimize and support data governance, data quality, MDM, access management, and related enabling technologies.
Design and implement a data operating model (roles, RACI, workflows, change management, issue management).
Liaise with Legal/Public Policy to keep governance practices aligned with changing regulatory requirements.
Respond to Sales Support data inquiries and guide stakeholders on data availability, lineage, definitions, and proper use.
Maintain documentation of processes, standards, and governance decisions; conduct periodic audits of dealer data usage and access.
Educate and coach data owners and users through training and communications, acting as a trusted advisor to leadership on data governance for major initiatives.
Continuously improve governance processes, tools, and practices to boost efficiency, adoption, data quality, and business value.

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree required; technical fields (IT, Engineering, Math/Statistics, Information Systems/Data Management) strongly preferred. Equivalent professional experience considered.
5–8+ years of relevant experience, ideally in data governance, master data management, or similar roles.
5+ years of data modeling experience and strong proficiency with relational/NoSQL databases (e.g., Postgres, Oracle) and advanced SQL.
Experience with modern data platforms, data hubs/warehouses, and reporting/analytics or enterprise data environments.
Hands-on experience with data profiling, cleansing, and defining / applying data quality rules.
Proven ability to translate business requirements into practical data models, governance requirements, and solution designs.
Strong track record leading cross-functional initiatives and influencing senior stakeholders without direct authority.
Deep knowledge of data governance, data quality, and master data management concepts and best practices.
Outstanding communication skills with both technical and non-technical audiences; strong facilitation and stakeholder management.
Demonstrated analytical and problem-solving skills with a structured, continuous-improvement mindset and high attention to data integrity and control.
Experience working in Agile environments; able to move quickly, identify automation opportunities, and collaborate effectively across teams.

What Can Give You a Competitive Advantage (Preferred Qualifications)

Experience with data integration platforms, tools, and techniques such as Azure Databricks, Spark, Informatica, Ab Initio, Hadoop, Hive, and related big data technologies.
Master’s or advanced degree preferred.
Experience working with reporting technologies such as Cognos, Power BI, and Tableau.
Development experience using RDBMS technologies.
SQL and PL/SQL experience.
Experience with data pipeline and workflow management tools such as Azkaban, Luigi, and Airflow.
Experience with AWS cloud services such as EC2, EMR, RDS, and Redshift.
Experience with stream-processing systems such as Storm and Spark Streaming.
Experience with data catalog, data quality, governance, and master data management tools.
Professional certifications in data governance, data management, or analytics such as DAMA or CDMP are a plus.
Background in regulated, complex, or global environments with multiple business units, legal entities, or broad governance requirements.
Prior experience supporting enterprise transformation programs or large-scale system implementations.

#LI-AP1

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

Este puesto no es elegible para beneficios de reubicación. Los posibles costos de relocalización serán responsabilidad del candidato seleccionado.

Información sobre diversidad

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Adecuaciones (EE.UU. y Canadá)

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