Motiva Enterprises LLC

Lead Architecture & Advanced Analytics

LocationHouston, TX
Job TypeFull-time

About This Job

At Motiva, our employees' energy, passion, and dedication to excellence are what make us who we are and what allows us to generate energy that makes a house a home, gets us from point A to point B, and enables our health and wellbeing. We invest in every aspect of our employees' lives because, at Motiva, our people matter.



Headquartered in Houston, Texas, Motiva refines, distributes and markets petroleum products throughout the Americas. The company's Port Arthur Manufacturing Complex in Port Arthur, TX, is comprised of North America's largest refinery with a total throughput of 720,000 barrels per day, the world's second largest base oil plant, and an integrated chemical plant. Under exclusive long-term brand licenses with Shell and Phillips 66 (for the 76® brand), Motiva's commercial operations supply more than 12 billion gallons of fuel to customers annually. Motiva is wholly owned by Aramco, one of the world's largest integrated energy and chemicals companies.





Position Overview:


As the Lead Data Architecture & Advanced Analytics, you will be responsible for leading a team that ensures the quality, security, and compliance of the organization's data assets. In this role, you will facilitate data access and usage for various stakeholders across the organization. Key responsibilities include overseeing data lifecycle management, metadata management, data quality monitoring, and data lineage tracking.



This position is based in-office at our Downtown Houston headquarters and reports directly to the Director of Data Strategy & Management (Chief Data Officer). You will play a critical role within the Data Strategy & Management Team, ensuring data governance and advanced analytics initiatives align with business goals.




Responsibilities:


Establish, develop and lead a team which will aide in the definition of Data Governance and ensure understanding and compliance of requirements defined.

Define and create Data Operating Model while collaborating with data owners, stewards, and users to define and document data definitions, business rules, data lineage, and data quality requirements.

Identify Critical Data Elements (CDEs) across Motiva ecosystem (including Business and Operational data) to successfully govern and manage data to meet business objectives,

Analyze and profile data sources related to CDEs to identify data quality issues and define prioritized opportunities for improvement.

Develop and maintain data quality rules, metrics, and dashboards to monitor and report on data quality for CDEs.

Review Motiva's business application and data landscape to identify appropriate platform and tool(s) (including platforms and tools already in-place) for data governance policy definition and enablement.

Provide guidance to various Motiva teams across applications, cloud, security and data analytics domains on Motiva's data governance and data quality policies and review/recommend approaches for applying policies and tracking results with the platform and tool(s) of choice.

Work with Motiva AI governance council and Motiva's Data Analytics, AI and RPA teams to ensure appropriate policies are being defined and applied to enable Responsible and Explainable AI for both AI and Generative AI initiatives.

Participate in data governance initiatives and projects to ensure alignment with data quality and governance objectives and standards.

Provide data quality and governance training and guidance to data stakeholders and users.

Schedule and coordination of meetings with governing groups.

Other duties as assigned related to data architecture and management.




Experience and Qualifications:



Required Education and Experience:


Bachelor's degree in computer science, information systems, statistics, or related field.

At least 7 years of experience in data analysis, data quality, or data governance roles.

At least one of the following Data Architect or Engineer certifications (e.g., Google, Microsoft Azure, AWS, certified data engineer, DASCA, DGSP, CDP, CDS, IGP, etc. )

Proficient in SQL and data analysis tools such as Excel, Power BI, Tableau, etc.

Prior hands-on experience in data profiling, master data management and data quality tools and platforms such as Informatica, IBM, Oracle etc.

Prior hands-on experience in data governance tools and platforms such as Informatica, Collibra, Alation, BigID, Purview, etc.

Proficient in AI/ML technologies and practical experience in identifying and managing governance risks with AI and Generative AI.

Familiar with data governance frameworks, methodologies, and best practices (e.g. DMBOK, ADM).

Excellent communication, collaboration, and problem-solving skills.

Attention to detail and quality-oriented mindset.




Preferred Education and Experience:


Additional relevant certifications (e.g., DASCA, DGSP, CDP, CDS, IGP, CISA) are highly desirable.

Experience leveraging APIs and scripting for integration and automation

Able to effectively draft governance documentation and manage assigned initiatives

Experience in Microsoft Suite products i.e., Excel, Word, PowerPoint, etc.

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