Business Analytics & Data Products Director

POSITION SUMMARY

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.

JOB FUNCTIONS AND KEY RESPONSIBILITIES

• 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.