Lead Business Intelligence; BI Engineer
Listed on 2026-06-21
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IT/Tech
Data Engineering
- Location Hybrid, Dover, NH, 03820, United States
- Employee Type Exempt - FT
At Lighthouse Credit Union, we believe all individuals, regardless of position level, are considered leaders. By providing a framework that balances clarity with adaptability, our Leadership Competencies aim to foster a culture of continuous growth and agile leadership. Lighthouse Credit Union is committed to embracing change, nurturing leadership talent, and ensuring our performance management practices are aligned with our vision of fostering a resilient and forward‑thinking organization.
As such, we all hold ourselves accountable to the following:
A cornerstone of our collaborative work environment, this competency emphasizes effective communication, relationship building and teamwork. It also supports creating a positive work environment that values individual contributions and fosters teamwork. As an individual leader, you will demonstrate active listening, clear communication and contribute beneficially to team dynamics.
Embraces Change & LearningThis competency focuses on adaptability, personal development and the advocacy and embracing of progressive change. You will be challenged to explore continuous learning opportunities to achieve excellence and foster a culture of growth and innovation. As an individual leader, you will actively engage in personal development, embrace change enthusiastically and support team members in their growth. You will also demonstrate flexibility and adaptability in response to changing circumstances.
UtilizesCritical & Creative Thinking
Underlining the importance of innovative problem solving, challenging the status quo and strategic thinking, this competency is vital for driving excellence and leadership. This competency challenges team members to take initiative beyond one’s immediate responsibilities. As an individual leader, you will actively look for and share opportunities for improvement, show open‑mindedness to new ideas and professionally challenge inefficient processes. You will also actively contribute to defining solutions and promoting innovation.
TakesPersonal Ownership
This competency focuses on taking responsibility for performance goals, proactive collaboration, and accountability. It highlights the significance of each team member taking ownership of their role and contributions while demonstrating leadership qualities regardless of their position. As an individual leader, you will be actively engaged in setting and achieving performance goals, take responsibility for personal action and decisions and seek opportunities for self‑improvement and skill development.
POSITIONSUMMARY
The Lead BI Engineer is a technical leadership role responsible for defining and governing the organization’s business intelligence (BI) platform and the data and analytics architecture that supports it. This position drives innovation in BI and analytics capabilities, ensures alignment with enterprise data and analytics strategy, and leads initiatives that enhance data‑driven decision‑making across the organization.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES- Defines and establishes enterprise‑wide BI architecture, standards, and best practices.
- Oversees BI platform performance, ensuring reliability, scalability, security, and compliance.
- Leads the development, implementation, and ongoing support of scalable data pipelines and data acquisition approaches.
- Evaluates emerging technologies, tools, and trends, and recommends adoption to improve BI capabilities.
- Collaborates closely with enterprise architecture, engineering and business teams to deliver integrated data solutions.
- Influences and contributes to enterprise data strategy, governance frameworks, and policies.
- Provides leadership, mentoring, and guidance to Data and Analytics team members, fostering innovation and professional growth.
- Ensures data and analytics initiatives support organizational goals and deliver measurable business value.
- Deep expertise in BI architecture, data modeling, and enterprise data strategy.
- Expert‑level…
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