Director, Data, Analytics & Artificial Intelligence

Rocket Companies•Detroit, MI

1d•Onsite

About The Position

Bedrock is an award-winning real estate developer focused on comprehensive city building initiatives in Detroit and Cleveland. Its work includes creating iconic cityscapes, rehabilitating historic properties, and making space for the community—all with the philosophy to operate for more than profit. Since 2011, Bedrock has invested and committed more than $7.5 billion to develop and restore more than 140 properties, totaling over 21 million square feet of office, retail, residential, hospitality, industrial, data centers and parking. In 2024, Bedrock was named one of the world’s Most Innovative Companies by Fast Company. For additional information about Bedrock, please visit bedrockdetroit.com or connect with us on Facebook, Instagram, LinkedIn and X. The Director, Data, Analytics & Artificial Intelligence (AI) leads Bedrock's 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 Bedrock's vertically integrated commercial real estate platform, including Accounting, Finance, Asset Management, Leasing, Legal, Property Management, Hospitality, Development, Design, and Construction.

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.

Nice To Haves

Commercial real estate experience and familiarity with development, construction, property management, and vertically integrated operations preferred

Responsibilities

Develop and maintain Bedrock's 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 Bedrock's 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 Bedrock's 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.