Business Analytics Data Science Jobs in Houston, TX

Targa is seeking a strategic and execution-oriented Director, Business Analytics & Data Products to lead the business-facing analytics capability within the Data & Analytics organization. This leader will translate enterprise priorities across Operations, Engineering, Commercial, Finance, Supply Chain, and Corporate functions into trusted, reusable Data Products and analytical capabilities that improve decision-making, operating performance, and business value.

The role will establish a product-oriented operating model for analytics, moving the organization from primarily report-by-report delivery toward governed domain capabilities with clear ownership, reusable data and semantic models, measurable adoption, and sustainable support. The Director will lead demand management, analytics delivery, product lifecycle management, Power BI and semantic consumption, business adoption, and the partnership between Data Governance, Citizen Development, and Data Platform Engineering. The role will also connect business-facing analytics to the enterprise data architecture by helping ensure that analytical products leverage curated, governed assets from the Medallion Architecture and support the organization's long-term evolution toward domain-oriented Data Products and Data Mesh principles.

Establish and lead Targa's Business Analytics & Data Products capability, including operating model, organization design, role clarity, delivery standards, and talent development.

Partner with senior business and Technology leaders to understand strategic priorities, shape demand, and translate business needs into sequenced analytics roadmaps and reusable Data Products.

Own the enterprise analytics demand portfolio, including intake, prioritization, backlog management, resource allocation, delivery commitments, service levels, and executive reporting.

Lead end-to-end delivery and lifecycle management for dashboards, analytical applications, semantic models, curated data marts, and Data Products from discovery through adoption, enhancement, and retirement.

Partner with Data Platform & Engineering teams to define, prioritize, and consume curated datasets and business-ready assets from the enterprise Medallion Architecture (Bronze, Silver, Gold), ensuring analytics products leverage governed, reusable, trusted data assets rather than point-to-point integrations.

Define the minimum product artifacts for analytics delivery, including business purpose, target users, measures and calculations, ownership, stewardship, data-quality expectations, security, lineage, adoption measures, and support model.

Drive the transition from one-off reports and duplicated semantic models toward domain-oriented, reusable analytical capabilities that can support multiple use cases and user groups.

Lead the evolution toward a domain-oriented Data Product operating model by establishing clear ownership, stewardship, lifecycle management, adoption accountability, and business value realization for analytical products across business domains.

Lead Power BI and enterprise BI delivery practices, including user experience, data storytelling, report certification, semantic model reuse, release quality, and production support.

Integrate Citizen Development and self-service analytics into the product model by establishing appropriate guardrails, approved data sources, reusable templates, communities of practice, training, and governed paths to production.

Partner with Data Governance to embed data ownership, stewardship, quality, glossary, classification, access, lineage, and certification requirements into analytics products and business processes.

Contribute to the organization's long-term transition toward Data Mesh principles by enabling discoverable, governed, reusable, and domain-owned Data Products that can be consistently consumed across business functions while maintaining enterprise standards for security, governance, and interoperability.

Partner with Data Platform & Engineering, Enterprise Architecture, Infrastructure, Cybersecurity, and source-system teams to ensure analytics products align to the enterprise data architecture, leverage the Medallion Architecture, promote semantic model reuse, and enable scalable business consumption through governed Data Products and future-state data access services.

Establish and maintain an enterprise catalog of analytical and data products, including ownership, stewardship, certification status, lineage, dependencies, adoption metrics, lifecycle stage, and business value realization.

Establish metrics for throughput, delivery predictability, product adoption, user satisfaction, reuse, data quality, service performance, and measurable business value.

Build and lead a high-performing blended organization of employees, contractors, and strategic partners; provide coaching, performance management, succession planning, and clear career paths.

Manage budgets, vendors, contracts, and delivery partners to achieve business outcomes with appropriate cost, quality, and accountability.

Promote a customer-focused, consultative culture while ensuring compliance with Technology processes for requirements, testing, change management, release, documentation, and production support.

Other duties as assigned.

Bachelor's degree in Computer Science, Management Information Systems, Data Analytics, Engineering, Finance, Business, or a related field; equivalent relevant experience will be considered.

12+ years of progressive experience in enterprise data, analytics, business intelligence, Data Products, or related technology disciplines, including 7+ years in people leadership or large-scale delivery leadership.

Demonstrated experience translating business priorities into reusable Data Products, semantic models, curated data assets, analytical applications, and measurable business outcomes across multiple business domains.

Experience managing a blended organization of employees and strategic contractors across multiple delivery teams or workstreams.

Experience establishing demand management, product management, portfolio governance, backlog prioritization, and delivery performance practices.

Strong experience with Power BI or comparable enterprise BI platforms, semantic models, data marts, data warehousing, ETL/ELT, and modern cloud analytics architectures.

Working knowledge of Microsoft Azure data services and modern platforms such as Microsoft Fabric, Snowflake, and/or Databricks.

Demonstrated ability to partner across business and technology functions, including Operations, Engineering, Commercial, Finance, Supply Chain, and Corporate Services.

Solid understanding of data governance, master data, data quality, metadata, lineage, security, and access-control principles.

Strong executive presence, communication, presentation, facilitation, and data-storytelling skills, with the ability to influence senior leaders and translate between business and technical audiences.

Demonstrated experience defining and tracking adoption, service, delivery, and business-value metrics.

Strong financial, vendor, and resource-management skills, including accountability for budgets and external delivery partners.

High level of accountability, customer focus, sound judgment, and ability to operate effectively in a fast-paced, growing organization.

Regular and reliable attendance.

Experience in midstream, oil and gas, chemicals, manufacturing, utilities, or another asset-intensive industrial environment.

Experience leading enterprise-scale teams of 50+ employees and contractors across a matrixed operating model.

Experience transforming an IT-led analytics delivery model into a product-oriented, self-service, or Center of Excellence model.

Experience delivering analytics across manufacturing or operational telemetry, commercial and pricing, supply chain, finance, risk, audit, and customer domains.

Experience creating communities of practice, data-literacy programs, enablement frameworks, and enterprise adoption strategies.

Experience with AI/ML-enabled products, predictive analytics, intelligent automation, or agentic analytics use cases.

Experience with Microsoft Fabric, Snowflake, Azure Data Explorer, Azure Data Factory, Power BI, and enterprise data catalogs.

Experience with domain-oriented Data Product operating models, Data Mesh concepts, Medallion Architectures, semantic-layer strategies, and modern cloud analytics platforms supporting reusable enterprise data assets.

Experience applying risk, controls, audit, or compliance perspectives to analytics delivery and Data Products.

Relevant certifications in data management, analytics, product management, project management, governance, or information systems.

Targa Resources provides equal employment opportunities based on merit, experience, and other work-related criteria and without regard to race, color, ethnicity, religion, national origin, sex, age, pregnancy, disability, veteran status, or any other status protected by applicable law. We also strive to provide reasonable accommodation to employees’ beliefs and practices that do not conflict with Targa’s policies and applicable law. We value the unique contributions that every employee brings to their role with Targa.

Create and manage profiles for future opportunities.