Data Analytics & Engineering Program Manager

170+ Years Strong. Industry Leader. Global Impact.
At Pinkerton, the mission is to protect our clients. To do this, we provide enterprise risk management services and programs specifically designed for each client. Pinkerton employees are one of our most important assets and critical to the delivery of world-class solutions. Bonded together, we share a commitment to integrity, vigilance, and excellence.

Pinkerton is an inclusive employer who seeks candidates with diverse backgrounds, experiences, and perspectives to join our family of industry subject matter experts.

The Data Analytics & Engineering Program Manager, assigned to one of Pinkerton's largest global clients, will lead and manage the overall program including driving the design, implementation, and optimization of data analytics strategies and engineering solutions. This role ensures operational excellence by managing critical data policies, tools, and frameworks while collaborating with cross-functional team to support organizational objectives through actionable insights, enhanced physical security systems, and innovative data solutions.

Responsibilities

• Represent Pinkerton's core values of integrity, vigilance, and excellence.
• Lead and manage the physical security data analytics and engineering program.
• Develop and execute project plans, timelines, and budgets.
• Coordinate with cross-functional teams to ensure project objectives are met.
• Oversee the collection, analysis, and interpretation of security data to identify trends, risks, and areas for improvement.
• Develop and maintain security dashboards and reporting tools for real-time monitoring and decision-making.
• Design and implement engineering solutions to enhance physical security systems including access control, surveillance, and intrusion detection systems.
• Ensure all security systems are integrated, scalable, and compliant with industry standards.
• Develop, implement, and maintain policies, procedures, and best practices for data analytics and engineering initiatives.
• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
• Oversee the design and deployment of data pipelines, ensuring data accuracy, consistency, and accessibility.
• Manage and optimize data architecture, storage solutions, and cloud-based platforms to support scalable operations.
• Track, monitor, and report key performance indicators (KPIs) for data projects, providing actionable insights to stakeholders.
• Identify and resolve data-related issues, escalating complex challenges to relevant teams.
• Lead the development and delivery of training programs to enhance data literacy and tool adoption across the organization.
• Schedule and facilitate project meetings while ensuring clear communication, accurate documentation, and timely follow-ups.
• Conduct routine audits of data systems and processes to ensure compliance with organizational and regulatory standards.
• Collaborate with cross-functional teams to integrate data solutions into broader organizational workflows.
• Stay updated on emerging trends in data analytics and engineering while recommending tools and technologies to improve efficiency.
• Serve as a subject matter expert and trusted advisor for data-driven decision making.
• All other duties, as assigned.

Qualifications

Bachelor's degree in data science, computer science, engineering, or a related field with ten years of experience managing data analytics and engineering programs including the development of scalable data solutions.

• AWS Certified Data Analytics, Microsoft Certified Azure Data Engineer Associate or Google Professional Data Engineer certifications, preferred.
• Jira management system including the creation, tracking, and management workflows, issues, and projects efficiently.
• Large Language Models (LLMs) and ability to leverage AI tools and frameworks for data analysis, automation, or solution development.
• Knowledge designing and implementing physical security systems including access control, surveillance, and intrusion detection.
• Proficient in physical security engineering and system integration.
• Advanced knowledge of machine learning frameworks and statistical modeling.
• Able to analyze complex data sets and develop actionable insights.
• Familiar with regulatory and compliance standards for data management and security.
• Able to interact effectively at all levels and across diverse cultures.
• Able to lead cross-functional teams and manage multiple projects simultaneously.
• Attentive to detail and accuracy.
• Effective written and verbal communication skills with the ability to present complex data insights clearly.
• Serve as a positive team leader.
• Client orientated and results driven.
• Computer skills; Microsoft Office, Snowflake, SQL, Python, Hadoop, and Spark.

Working Conditions:

With or without reasonable accommodation, requires the physical and mental capacity to effectively perform all essential functions;

• Regular computer usage.
• Occasional reaching and lifting of small objects and operating office equipment.
• Frequent sitting.
• Travel, as required.

Pinkerton is an equal opportunity employer to all applicants and positions without regard to race/ethnicity, color, national origin, ancestry, sex/gender, gender identity/expression, sexual orientation, marital/prenatal status, pregnancy/childbirth or related conditions, religion, creed, age, disability, genetic information, veteran status, or any protected status by local, state, federal or country-specific law.

Benefits

Benefit options include employer-paid life and AD&D, voluntary life and AD&D, medical, (HSA) Health Savings Account, (FSA) Flexible Savings Account, dental, vision, short-term disability, long-term disability, 401(K), paid time off (vacation, personal, sick, and holidays) and several employee assistance-related programs. This information provides a brief benefit overview. Upon the acceptance of an employment offer, the new employee will receive comprehensive plan details based on specific eligibility rules.

Posted Salary Range