Sr. Advisor Data Modernization

Role overview

What you will do

• Lead the data modernization roadmap and translate strategy, operational needs, and stakeholder priorities into scalable solutions and multiyear plans.
• Design and lead data pipelines, curated datasets, analytical solutions, and reusable assets using Azure Databricks, Python, SQL, Power BI, and related technologies.
• Establish data engineering, analytics, governance, quality, reconciliation, and documentation practices.
• Lead analytics and automation for power cost optimization, operational performance, variance drivers, and commercial opportunities.
• Develop executive and operational dashboards, KPIs, reports, and analytical tools.
• Partner with business, TIS, and platform teams on priorities, technical designs, trade-offs, implementation, and sustainment.
• Advise on responsibly integrating AI tools, automation agents, and machine learning into data workflows and business processes.
• Mentor advisors, analysts, and students through coaching, design and code reviews, and knowledge sharing.

Required qualifications

• A relevant university degree and six or more years of progressively responsible related experience are required; candidates without a degree need three additional years of related experience.
• Expert hands-on experience with Azure Databricks or a comparable lakehouse/data engineering platform, plus advanced Python and SQL, is required.
• Advanced Power BI and Excel experience, including modeling, visualization, analytical logic, KPI development, and executive reporting, is required.
• Candidates need experience translating business requirements into data architecture, models, solution designs, reporting logic, and delivery roadmaps.
• Knowledge of data quality, governance, lineage, testing, and reconciliation is required.
• Strong problem-solving, communication, stakeholder alignment, coaching, and mentoring capabilities are required.

Preferred qualifications

• Experience in Liquids Pipelines, energy management, power accounting, commercial structures, scheduling, budgeting, long-range planning, or operational performance analytics is preferred.
• Experience leading production-grade pipelines, automation, AI or machine learning, project management, agile delivery, change management, or data product ownership is preferred.

Working conditions

• The role is described as a typical office environment with minimal travel.
• Eligible employees at Manager level and below may have hybrid FlexWork options, subject to role requirements, including working from home Wednesdays and Fridays.

Benefits

• Benefits include health, dental, insurance and disability coverage, paid parental leave, retirement savings, paid time off, holidays, an employee assistance program, and wellness resources.