Director, Data, Analytics & Artificial Intelligence (AI) (Onsite)

Serigor•Detroit, MI

7d•Onsite

About The Position

The Director, Data, Analytics & Artificial Intelligence (AI) leads the Client’s enterprise data, analytics, and AI strategy and oversees the team responsible for platforms, integrations, reporting, automation, and AI capabilities that deliver actionable insights across the organization. The role establishes the vision, roadmap, priorities, and execution plans for data, analytics, and AI initiatives, ensuring solutions support business objectives, budgets, timelines, and operational needs across the Client’s vertically integrated commercial real estate platform. The business areas include Accounting, Finance, Asset Management, Leasing, Legal, Property Management, Hospitality, Development, Design, and Construction. The Director leads and develops technical teams and partners with Technology and business leaders to translate business needs into effective solutions. The role also oversees enterprise data governance and AI programs, platform lifecycle management, delivery practices, operational controls, change management, and adoption. The Client is an in-person, five-day-a-week workplace; team members are expected to work onsite Monday through Friday during standard business hours, unless otherwise specified. Some roles may have discretion-based flexibility to work remotely on Fridays, depending on the work and business needs.

Requirements

Bachelor’s degree in computer science, data science, business analysis, artificial intelligence, information systems, or a related field, or equivalent work experience.
10 or more 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.
Must be a U.S. citizen or Green Card holder; sponsorship is not available.
Strategic leadership, communication, planning and organization, problem solving, integrity, inclusivity, technical expertise, accountability, and the ability to develop others.
Ability to work onsite Monday through Friday during standard business hours, subject to role-specific arrangements and possible discretionary Friday flexibility.
Prolonged periods of sitting and computer use; occasional movement between buildings; ability to occasionally lift up to 15 pounds.

Nice To Haves

Commercial real estate experience and familiarity with development, construction, property management, and vertically integrated operations.
Experience serving multiple distinct business functions within one operating business, such as finance, legal, leasing, hospitality, and construction.

Responsibilities

Develop and maintain the 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 opportunities and translate business needs into data, analytics, and AI solutions.
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 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 data platforms and integrations.
Lead change management, stakeholder readiness, adoption, training, and support for new data, analytics, and AI solutions.
Evaluate emerging technologies, industry trends, and innovation opportunities related to data, analytics, automation, and AI.
Perform other duties as assigned.