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Motorola Solutions · 20 hours ago

Head of Data Platform Engineering & AI Innovation

Chicago, IL

Full-time

Onsite

Director/Executive

$170K/yr - $210K/yr

10+ years exp

Motorola Solutions is a global leader in critical communications and security technologies. They are seeking a Strategy Leader to oversee the data ecosystem, leading a global team in developing and operating data platforms, storage services, and AI capabilities to support public safety solutions.

Cyber SecurityTelecommunicationsVideo

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Provide strong leadership, direction, and mentoring to teams, fostering professional growth and developing technical and leadership talent

Define and execute the long-term strategy for Motorola’s Data Platform — enabling search, analytics, and AI capabilities across the enterprise and product ecosystem

Lead and grow a diverse, high-performing engineering organization of data, AI/ML, and platform engineers

Partner with engineering and product leaders across the organization to act as a key stakeholder and data evangelist

Drive a culture of data excellence, innovation, and measurable business impact

Own the architecture, development, and operation of our core data analytics platforms (e.g., Databricks, Microsoft Fabric)

Lead the team in the development of robust and scalable ETL/ELT pipelines, crucial for supporting real-time intelligence and overall data architecture

Enable data democratization and data science by championing best practices in data governance, quality, and turning large-scale data into actionable insights

Lead the 'Search' team in developing and operating high-performance search experiences (Vector, Semantic, and traditional search) for our products

Oversee the 'Drive' team, which provides reliable, scalable 'Storage-as-a-Service' for internal application teams

Drive a platform-as-a-product mindset, emphasizing automation, self-service, and a strong developer experience for our internal customers

Lead our R&D and Excellence team focused on data-centric AI

Direct applied research and prototyping in key emerging areas, including Generative AI, Agentic AI, MLOps, and advanced Data Science

Establish the frameworks and tooling required to scale AI/ML adoption across the company

Qualification

Data engineeringAI engineeringData platform architectureCloud environmentsMLOpsData scienceDatabricksMicrosoft FabricLeadershipCommunication skillsMentoring

Required

10+ years of experience in data & AI engineering, with at least 5+ years in an engineering leadership role (Sr. Manager, or above)

Proven experience building and scaling large-scale data platforms, distributed systems, or cloud-native services

Strong technical knowledge of modern data ecosystems (e.g., Databricks, Spark, Microsoft Fabric, data lakes, data warehousing) and cloud environments (Azure or AWS)

Bachelor's Degree in Engineering, or a related technical field

Must be able to obtain background clearance as required by government customer