Manager of Data and Analytics

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

Overview:

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.

 

Essential Skills & Competencies

Business Acumen:

• 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.

Responsibilities:

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.

 

Qualifications:

Education:

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.