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San Juan, Puerto Rico, United States
Onsite
Job Summary:
Leads enterprise analytics, data science, and artificial intelligence, initiatives that enable trusted, governed, and data-driven decision-making across the organization. Defines standards, platforms, and capabilities that transform enterprise data into secure, actionable insights that improve operational performance, customer experience, regulatory compliance, and strategic outcomes.Job Description:
Acts as the primary liaison between analytics teams and upper management to ensure clear, consistent communication and alignment on analytical priorities and initiatives.
Defines enterprise analytics, data science, and artificial intelligence strategies to advance organizational data-driven decision-making capabilities.
Leads the development of analytical architecture, including Data Lake, semantic models, curated datasets, and analytical data products to provide scalable and governed analytics solutions.
Establishes analytics, reporting, data modeling, and self-service BI standards to improve consistency, quality, and adoption across the organization.
Develops data governance, metadata, data catalog, lineage, and stewardship frameworks to strengthen data ownership, accountability, and trust.
Directs development of certified datasets, KPI frameworks, dashboards, and analytical products to support operational, regulatory, executive, and customer experience reporting needs.
Evaluate and promote artificial intelligence, machine learning, predictive analytics, and advanced analytics opportunities to improve business performance and operational efficiency.
Collaborate with business, cybersecurity, infrastructure, application, integration, and reporting teams to deliver secure, scalable, and sustainable analytics solutions.
Serves as a subject matter expert and provides technical leadership, mentoring, and guidance to Data Scientists, BI & Reporting Analysts, and analytics resources to strengthen organizational capabilities.
Demonstrates and reinforces adherence to company policies and procedures within the team to foster a culture of accountability and compliance.
Coordinates and supports the execution of restoration tasks and preparedness exercises to ensure the team’s effective emergency response.
Takes initiative to perform supplementary responsibilities within scope of expertise to enhance team performance and adaptability.
Additional Job Description:
Education
Bachelor’s degree in computer science, Information Systems, Data Science, Statistics, Mathematics, Engineering, Business Analytics, or related field. Master's degree in Data Science, Analytics, Information Systems, Business Analytics, Computer Science, or related field preferred.
Experience
3 years of experience in data analytics, business intelligence, reporting, data science, data architecture responsibilities and at least 1 year in a Specialist or similar technical role. Experience with Data Lake, Data Warehouse, curated datasets, semantic models, dimensional modeling, and enterprise reporting platforms.
Additional experience may substitute for required education when it aligns with the competencies and knowledge necessary for the role:
Associate’s degree in a relevant field may substitute when accompanied by a minimum of 5 years of experience performing similar functions and at least 3 years of experience performing a previous position as Lead, Team Leader or Specialist role.
High School or equivalent (GED) when accompanied by a minimum of 8 years of experience performing similar functions described and at least 5 years of experience performing a previous Lead, Team Leader or Specialist role.
Competencies (Skills)
Enterprise analytics strategy and roadmap development.
Data Lake, Data Warehouse, and cloud analytics platform knowledge.
Data modeling, dimensional modeling, semantic modeling, and analytical data product design.
Power BI development, governance, administration, and self-service BI enablement.
SQL, data analysis, data validation, and data quality management.
Python, R, machine learning, predictive analytics, and AI concepts.
Data catalog, metadata management, business glossary, and data lineage practices.
Role-based security, least privilege access, and data governance controls.
KPI development, reporting standards, and executive dashboard design.
Strong analytical thinking, problem-solving, and decision-making skills.
Ability to translate business needs into scalable analytical solutions.
Ability to communicate technical concepts to non-technical stakeholders.
Strong stakeholder management and cross-functional collaboration skills.
Technical mentoring, coaching, and thought leadership.
Strong written and verbal communication skills.
Bilingual proficiency in English and Spanis
Licenses/Certifications
No required licenses or certifications.
Preferred certifications include Microsoft Power BI Data Analyst, Azure Data Fundamentals, Azure Data Engineer, Azure AI Engineer, Azure Solutions Architect, or related analytics and cloud certifications.
Travel Requirements
Seldom (approximately 10%).
Physical Demands
Stationary Position: Frequently
Pushing/ Pulling/ Reaching: Seldom
Kneel: Seldom
Grab: Seldom
Bend: Seldom
Lift/Carry over: 10 - 30 LBS approximately
Vision: 20/20 Corrected vision
Hearing: Receive detailed information if spoken to
Working Conditions
Wet or humid: Seldom
Working near or on moving mechanical parts: Seldom
Working near or on heavy machinery: Never
Working in high places: Seldom
Exposed to fumes or airborne particles: Seldom
Frequency of working in outdoor weather conditions: Never
Work with electricity: Never
Loud noise conditions: Seldom
LUMA Energy is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, military status, disability, or any other characteristic protected by federal or local laws.