Enterprise Intelligence Manager

BLACK HILLS FEDERAL CREDIT UNION•Rapid City, SD

23h•Remote

About The Position

The Enterprise Intelligence Manager executes Black Hills Federal Credit Union’s enterprise data, analytics, artificial intelligence, and automation strategies. The role connects strategic vision with operational delivery, helping ensure that data and AI capabilities create measurable business value, improve member experience, increase organizational efficiency, and support strategic decision-making. Working across business units, the manager identifies opportunities, prioritizes initiatives, establishes governance, and leads intelligence initiatives from concept through implementation and adoption. The role ensures alignment with organizational priorities, regulatory expectations, and member-centric objectives, and advances the use of information to generate insight and member value.

Requirements

Bachelor’s degree in Business Administration, Information Systems, Data Analytics, Computer Science, Technology Management, Finance, or a related field.
Eight to ten years of progressive experience in data architecture, data management, artificial intelligence, machine learning, automation, or related disciplines.
Leadership experience managing and developing teams of technologists or engineers and driving organizational results through innovation and continuous improvement.
At least three years of the required experience must include implementing modern cloud data architecture and supporting AI, data integration, and automation strategies.
Demonstrated success leading cross-functional and enterprise-wide initiatives and translating complex technical concepts into practical business solutions.
Strong understanding of artificial intelligence, machine learning, analytics, business intelligence, and intelligent automation concepts.
Knowledge of data governance, data management, and information stewardship practices.
Strong business acumen and strategic thinking skills.
Exceptional analytical and problem-solving abilities.
Excellent communication, facilitation, and presentation skills.
Ability to manage multiple priorities in a dynamic environment.
Strong project and portfolio management capabilities.
Ability to influence without direct authority.
Ability to build consensus and drive adoption across diverse stakeholder groups.
Commitment to continuous learning and innovation.
Ability to work flexible hours.
Ability to communicate verbally and in writing with staff, members, and vendors.
Ability to perform necessary computer-related input.

Responsibilities

Execute the Credit Union’s enterprise intelligence strategy across data, analytics, artificial intelligence, automation, and decision intelligence.
Translate strategic priorities into actionable initiatives, roadmaps, and measurable outcomes.
Establish and manage a portfolio of intelligence initiatives aligned with organizational goals.
Monitor initiative performance and ensure delivery of expected business value and strategic impact.
Communicate progress, outcomes, and recommendations to the AI Center of Excellence, project teams, and Credit Union leadership.
Support deployment and adoption of AI-enabled solutions that improve member experience, employee productivity, operational efficiency, and decision quality.
Lead enterprise data initiatives that improve data quality, accessibility, reliability, and usability.
Advance enterprise analytics capabilities that support proactive decision-making.
Partner with business leaders to define key performance indicators and success measures.
Ensure leaders have access to actionable intelligence through reporting, dashboards, predictive analytics, and decision-support tools.
Partner with Technology, Information Security, Risk Management, and Compliance teams to manage organizational risk.
Promote responsible AI through governance, oversight, and risk management.
Monitor emerging AI technologies and evaluate opportunities for organizational application.
Foster data literacy and evidence-based decision-making.
Support and advance enterprise governance programs related to data, analytics, AI, and automation.
Ensure compliance with applicable regulations, privacy requirements, security standards, and internal policies.
Participate in evaluation of emerging technologies, vendors, and strategic partnerships.
Participate in solution selection, implementation, and value realization activities.
Manage relationships with intelligence, analytics, AI, and automation solution providers.
Maintain awareness of evolving regulatory expectations affecting AI and data use in financial services.
Advise business leaders on intelligence, data, analytics, automation, and AI opportunities.