Job Title: Director, Data, Analytics & Artificial Intelligence (AI)
Location: Detroit, MI 48226 - Onsite
Duration: Fulltime
Job Description:
The Director, Data, Analytics & Artificial Intelligence (AI) leads the Client enterprise data, analytics, and AI strategy and oversees the team responsible for the platforms, integrations, reporting, automation, and AI capabilities that deliver actionable insights across the organization. This role establishes the vision, roadmap, priorities, and execution plans for data, analytics, and AI initiatives and ensures solutions support business objectives, budgets, timelines, and operational needs across the Client vertically integrated commercial real estate platform, including Accounting, Finance, Asset Management, Leasing, Legal, Property Management, Hospitality, Development, Design, and Construction.
Key Responsibilities (Client's Essential Functions):
- Develop and maintain the Client enterprise data, analytics, integration, and AI strategy, architecture, roadmap, priorities, budgets, and delivery plans.
- Lead and develop a high-performing team responsible for data architecture, data modeling, data warehousing, integrations, business intelligence, analytics, and AI initiatives.
- Partner with Technology and business leaders to identify high-value business opportunities and translate business needs into data, analytics, and AI solutions.
- Establish and oversee the evaluation, selection, implementation, and lifecycle management of data, analytics, integration, and AI platforms.
- Define and monitor service levels, key performance indicators, adoption metrics, risk metrics, and business outcomes for implemented capabilities.
- Lead the Client enterprise data governance program, including data ownership, stewardship, quality standards, business glossaries, security, privacy, retention, and compliance practices.
- Lead enterprise AI strategy, governance, prioritization, development, deployment, adoption, and value realization efforts.
- Establish delivery standards and operating practices for requirements management, project planning, development tracking, risk management, issue resolution, and stakeholder communication.
- Lead data architecture, integration, and design reviews and ensure approved changes are implemented accurately and effectively across the organization.
- Establish controls and operational procedures that support the accuracy, reliability, sustainability, and governance of the Client data platforms and integrations.
- Lead change management, stakeholder readiness, adoption, training, and support efforts for new data, analytics, and AI solutions.
- Evaluate emerging technologies, industry trends, and innovation opportunities related to data, analytics, automation, and artificial intelligence.
- Perform other duties as assigned.
Minimum Education and Experience (client's Position Requirements):
- Bachelor's degree in computer science, Data Science, Business Analysis, Artificial Intelligence, Information Systems, or a related field, or equivalent work experience.
- 10+ years of experience in data, analytics, information systems, business intelligence, AI, or related disciplines.
- Significant experience with Microsoft data and analytics platforms including Power BI, Azure, Fabric, OneLake, Data Factory, SQL Database, Copilot, and related technologies.
- Experience leading enterprise AI programs, including governance, prioritization, implementation, adoption, and value measurement.
- Experience establishing and leading enterprise data governance programs and data ownership frameworks.
- Experience building and leading technical teams responsible for data architecture, integrations, analytics, business intelligence, and AI delivery.
- Experience translating business requirements into technical solutions, roadmaps, projects, and business cases.
- US Citizen or Green Card holder. No sponsorship.
Preferred Qualifications:
- Commercial real estate experience and familiarity with development, construction, property management, and vertically integrated operations preferred.
Soft Skills (client's Key Competencies):
- Strategic leader who can drive growth and scale. [From the intake form.]
- Communication: clearly articulates vision and expectations, adapts messaging to diverse audiences, fosters open dialogue, and manages conflict constructively.
- Planning & Organization: aligns team efforts with strategic goals, delegates effectively, anticipates challenges, and drives accountability and results.
- Problem Solving: proactively identifies and resolves issues, promotes critical thinking, and supports continuous improvement and collaboration.
- Culture & Ethics: models integrity and inclusivity, champions organizational values, and fosters a positive, ethical, and inclusive work environment.
- Technical Expertise: applies and develops industry knowledge, mentors others, and stays current with trends to drive performance and innovation.
- Leadership & Accountability: sets clear expectations, makes sound decisions, takes ownership of results, builds strong relationships, models organizational values, adapts effectively to change, and develops others.
Work Environment (as stated in the client JD):
- The Client is an in-person, five-day-a-week workplace. All team members are expected to work on site Monday through Friday during standard business hours, unless otherwise specified by their role or designated shift.
- Some roles may have flexibility to work remotely on Fridays, based on the nature of the work and business needs. This flexibility is granted at the discretion of the Company and may be adjusted at any time.
- Prolonged periods of sitting and computer use; occasional movement between buildings; ability to occasionally lift up to 15 lbs.
Skills:
|
Skill |
Required/ Desired |
Amount |
of Experience |
|
Data, analytics, information systems, business intelligence or AI leadership. |
10+ |
Years |
|
|
Microsoft Fabric. (One of the two hardest to find – screen for it specifically.) |
|
Years |
|
|
Microsoft OneLake. (One of the two hardest to find – screen for it specifically.) |
|
Years |
|
|
Power BI – at enterprise scale. |
|
Years |
|
|
Azure data platform. |
|
Years |
|
|
Azure Data Factory. |
|
Years |
|
|
Azure SQL Database. |
|
Years |
|
|
Microsoft Copilot. |
|
Years |
|
|
Leading ENTERPRISE AI PROGRAMMES – governance, prioritisation, implementation, adoption, value measurement. |
|
Years |
|
|
ESTABLISHING enterprise data governance programmes and data ownership frameworks. |
|
Years |
|
|
Data stewardship, quality standards, business glossaries, retention and privacy practice. |
|
Years |
|
|
Enterprise data and analytics strategy, architecture and roadmap ownership. |
|
Years |
|
|
Building and leading technical teams across data architecture, integrations, analytics, BI and AI delivery. |
|
Years |
|
|
Platform evaluation, selection, implementation and lifecycle management. |
|
Years |
|
|
Translating business requirements into technical solutions, roadmaps, projects and business cases. |
|
Years |
|
|
Defining SLAs, KPIs, adoption metrics, risk metrics and business outcomes. |
|
Years |
|
|
Data architecture, integration and design review leadership. |
|
Years |
|
|
Change management, stakeholder readiness, adoption and training. |
|
Years |
|
|
Budget ownership for a data and analytics function. |
|
Years |
|
|
Bachelor's in computer science, Data Science, Business Analysis, AI, Information Systems or related – or equivalent work experience. |
|
– |
|
|
Commercial real estate – development, construction, property management, vertically integrated operations. |
Desired |
|
Years |
|
Serving many distinct business functions in one operating business (finance, legal, leasing, hospitality, construction and similar). |
Desired |
|
Years |