Data Analytics & Engineering Program Manager

Pinkerton•Santa Clara, CA

2d•$149,000 - $149,000•Hybrid

About The Position

The Data Analytics & Engineering Program Manager, assigned to a specific client, will lead and manage the Physical Security Data Analytics and Engineering Program, including driving the design, implementation, and optimization of data analytics strategies and engineering solutions. The Manager 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.

Requirements

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.
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.
Proficient with big data tools and technologies such as Hadoop, Spark.
Computer skills; Microsoft Office, Snowflake, SQL, and Python.

Nice To Haves

AWS Certified Data Analytics, Microsoft Certified Azure Data Engineer Associate or Google Professional Data Engineer certifications, preferred.

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.