Manager of Data and Analytics

Kinder Morgan
Houston, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Houston, United States of America

Tech stack

Artificial Intelligence
C Sharp (Programming Language)
Computer Engineering
Data Integration
ETL
Data Security
Data Structures
Fault Tolerance
R
Monitoring of Systems
Interoperability
Python
Machine Learning
Microsoft Visual Studio
Microsoft Office
Microsoft Software
Microsoft SQL Server
Power BI
Software Engineering
SQL Databases
SQL Server Reporting Services
SQL Server Integration Services
SQL Server Analysis Services
Systems Integration
User Provisioning Software
System Availability
Backend
PySpark
Core Data
Information Technology
Data Analytics
Front End Software Development
Software Version Control

Job 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.

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., 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.

Requirements

  • Apply strong analytical skills and attention to detail to deliver accurate, high-quality outputs., Bachelor's degree in Business, Computer Engineering, Computer Science, Statistics, or Mathematics., * 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.

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