Kinder Morgan, Inc.

Manager of Data and Analytics

Manager of Data and Analytics
Notice info
LocationHouston, TX
Job Typefull time
On-site
Oil and Gas

About This Job

Position Description Overview: The Manager of Data and Analytics will lead a team responsible for designing, enhancing, integrating, and maintaining enterprise IT platforms that support Business Intelligence (BI), Artificial Intelligence/Machine Learning (AI/ML), and reporting capabilities, leveraging the Palantir Foundry platform.

Key Responsibilities

Leadership & Team Development:

Mentor and manage a team of data analysts and developers, fostering a culture of accountability, collaboration, and technical excellence.

Platform Strategy & Development

Oversee the design, development, and optimization of BI, AI/ML, and reporting solutions using Palantir Foundry.

Integration & Interoperability

Ensure seamless integration of data across business units to enable unified enterprise analytics and reporting.

Support & Maintenance

Provide ongoing operational support and maintenance to ensure platform reliability, stability and performance.

System Resiliency

Collaborate with IT technical teams to identify and address system resiliency requirements.

Business Collaboration

Partner with business units and IT stakeholders to develop solutions and advise on various opportunities.

Governance & Compliance

Contribute to the development and improvement of enterprise-wide governance for Palantir Foundry, including data access policies, ontology standards, user provisioning, auditing, and risk mitigation.

Project Delivery

Drive timely execution of projects aligned with Kinder Morgan’s technology strategy and project methodology.

Core Data Management

Identify and integrate core datasets into BI and AI frameworks to support advanced analytics.

Monitoring & Automation

Develop automated reporting and monitoring tools to proactively detect and resolve platform issues.

Flexibility & Availability

Respond to business needs during and outside standard working hours as required.

Business Acumen Essential Skills & Competencies

Understand and evaluate organizational data structures and business processes.

Communication

Strong written and verbal communication skills for interaction with stakeholders at all levels.

Requirements Analysis

Collaborate with subject matter experts to gather requirements, assess data availability, and recommend improvements.

Insight Generation

Translate quantitative and qualitative data into actionable insights aligned with business objectives.

Team Management

Oversee hiring, training, performance management, and resource allocation for the Data and Analytics team.

Partnership Development

Build relationships with external partners to scale analytics capabilities.

Problem Solving & Detail Orientation

Apply strong analytical skills and attention to detail to deliver accurate, high-quality outputs.

Risk Management

Exercise sound judgment in decisions impacting enterprise-wide operations.

Education Position Requirements

Bachelor’s degree in Business, Computer Engineering, Computer Science, Statistics, or Mathematics.

Technical Expertise 5+ years of relevant technology experience, including team leadership.

Proficiency in front-end tools (Visual Studio C#, Power BI, Palantir Foundry) and back-end ETL/automation (SQL, SSIS, SSAS, Python, PySpark).

Knowledge of software development lifecycles and source code management.

Advanced Microsoft Office skills.

Experience building BI platforms using Microsoft technologies (SQL Server, SSRS, SSAS, SSIS, Power BI).

Familiarity with AI/ML programming languages (Python, PySpark, R).

Preferred

Experience with Palantir Foundry and AIP.

Background in data science.

Benefits

Competitive salary and annual bonus.

Comprehensive medical, dental, vision, life, and disability coverage.

401(k) and pension plan.

Generous PTO and vacation policy.

Hybrid work schedule.

EQUAL OPPORTUNITY EMPLOYER STATEMENT: We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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