{"schemaVersion":"jobsearcher.job.v1","id":"04120b242eb1bedb4d34c0e3","url":"https://jobsearcher.com/jobs/04120b242eb1bedb4d34c0e3","canonicalUrl":"https://jobsearcher.com/jobs/04120b242eb1bedb4d34c0e3","title":"Data Analytics & Engineering Program Manager","description":"Overview\n170+ Years Strong. Industry Leader. Global Impact.\n\nAt 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.\n\nPinkerton is an inclusive employer who seeks candidates with diverse backgrounds, experiences, and perspectives to join our network of industry subject matter experts.\n\nThe 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.\n\nResponsibilities\n\nRepresent Pinkerton’s core values of integrity, vigilance, and excellence.\n\nLead and manage the physical security data analytics and engineering program.\n\nDevelop and execute project plans, timelines, and budgets.\n\nCoordinate with cross‑functional teams to ensure project objectives are met.\n\nOversee the collection, analysis, and interpretation of security data to identify trends, risks, and areas for improvement.\n\nDevelop and maintain security dashboards and reporting tools for real‑time monitoring and decision‑making.\n\nDesign and implement engineering solutions to enhance physical security systems including access control, surveillance, and intrusion detection systems.\n\nEnsure all security systems are integrated, scalable, and compliant with industry standards.\n\nDevelop, implement, and maintain policies, procedures, and best practices for data analytics and engineering initiatives.\n\nCollaborate with stakeholders to gather requirements and translate business needs into technical solutions.\n\nOversee the design and deployment of data pipelines, ensuring data accuracy, consistency, and accessibility.\n\nManage and optimize data architecture, storage solutions, and cloud‑based platforms to support scalable operations.\n\nTrack, monitor, and report key performance indicators (KPIs) for data projects, providing actionable insights to stakeholders.\n\nIdentify and resolve data‑related issues, escalating complex challenges to relevant teams.\n\nLead the development and delivery of training programs to enhance data literacy and tool adoption across the organization.\n\nSchedule and facilitate project meetings while ensuring clear communication, accurate documentation, and timely follow‑ups.\n\nConduct routine audits of data systems and processes to ensure compliance with organizational and regulatory standards.\n\nCollaborate on cross‑functional teams to integrate data solutions into broader organizational workflows.\n\nStay updated on emerging trends in data analytics and engineering while recommending tools and technologies to improve efficiency.\n\nServe as a subject matter expert and trusted advisor for data‑driven decision making.\n\nAll other duties, as assigned.\n\nQualifications\nBachelor’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.\n\nAWS Certified Data Analytics, Microsoft Certified Azure Data Engineer Associate or Google Professional Data Engineer certifications, preferred.\n\nKnowledge designing and implementing physical security systems including access control, surveillance, and intrusion detection.\n\nProficient in physical security engineering and system integration.\n\nAdvanced knowledge of machine learning frameworks and statistical modeling.\n\nAble to analyze complex data sets and develop actionable insights.\n\nFamiliar with regulatory and compliance standards for data management and security.\n\nAble to interact effectively at all levels and across diverse cultures.\n\nAble to lead cross‑functional teams and manage multiple projects simultaneously.\n\nAttentive to detail and accuracy.\n\nEffective written and verbal communication skills with the ability to present complex data insights clearly.\n\nServe as a positive team leader.\n\nClient orientated and results driven.\n\nProficient with big data tools and technologies such as Hadoop, Spark.\n\nComputer skills; Microsoft Office, Snowflake, SQL, and Python.\n\nWorking Conditions\nWith or without reasonable accommodation, requires the physical and mental capacity to effectively perform all essential functions;\n\nRegular computer usage.\n\nOccasional reaching and lifting of small objects and operating office equipment.\n\nFrequent sitting.\n\nTravel, as required.\n\nPinkerton 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.\n\nBenefits\nBenefit 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.\n\nPosted Salary Range\nUSD $149,000.00 - USD $149,000.00 /Yr.\n\nLocation\nUS-CA-Santa Clara\n\nID\n2026-2856\n\nCategory\nSecurity Risk Management\n\nPosition Type\nFull-Time\n\nMin Pay Rate\nUSD $149,000.00/Yr.\n\nMax Pay Rate\nUSD $149,000.00/Yr.\n\nJob Type\nOn-Site\n\n#J-18808-Ljbffr","company":"Pinkerton","rawCompany":"pinkerton","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-20T04:44:18.891Z","occupations":[{"code":"13-1199.07","title":"Security Management Specialists","slug":"security-management-specialists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3013.01","title":"Security Managers","slug":"security-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics & Engineering Program Manager","description":"Overview\n170+ Years Strong. Industry Leader. Global Impact.\n\nAt 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.\n\nPinkerton is an inclusive employer who seeks candidates with diverse backgrounds, experiences, and perspectives to join our network of industry subject matter experts.\n\nThe 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.\n\nResponsibilities\n\nRepresent Pinkerton’s core values of integrity, vigilance, and excellence.\n\nLead and manage the physical security data analytics and engineering program.\n\nDevelop and execute project plans, timelines, and budgets.\n\nCoordinate with cross‑functional teams to ensure project objectives are met.\n\nOversee the collection, analysis, and interpretation of security data to identify trends, risks, and areas for improvement.\n\nDevelop and maintain security dashboards and reporting tools for real‑time monitoring and decision‑making.\n\nDesign and implement engineering solutions to enhance physical security systems including access control, surveillance, and intrusion detection systems.\n\nEnsure all security systems are integrated, scalable, and compliant with industry standards.\n\nDevelop, implement, and maintain policies, procedures, and best practices for data analytics and engineering initiatives.\n\nCollaborate with stakeholders to gather requirements and translate business needs into technical solutions.\n\nOversee the design and deployment of data pipelines, ensuring data accuracy, consistency, and accessibility.\n\nManage and optimize data architecture, storage solutions, and cloud‑based platforms to support scalable operations.\n\nTrack, monitor, and report key performance indicators (KPIs) for data projects, providing actionable insights to stakeholders.\n\nIdentify and resolve data‑related issues, escalating complex challenges to relevant teams.\n\nLead the development and delivery of training programs to enhance data literacy and tool adoption across the organization.\n\nSchedule and facilitate project meetings while ensuring clear communication, accurate documentation, and timely follow‑ups.\n\nConduct routine audits of data systems and processes to ensure compliance with organizational and regulatory standards.\n\nCollaborate on cross‑functional teams to integrate data solutions into broader organizational workflows.\n\nStay updated on emerging trends in data analytics and engineering while recommending tools and technologies to improve efficiency.\n\nServe as a subject matter expert and trusted advisor for data‑driven decision making.\n\nAll other duties, as assigned.\n\nQualifications\nBachelor’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.\n\nAWS Certified Data Analytics, Microsoft Certified Azure Data Engineer Associate or Google Professional Data Engineer certifications, preferred.\n\nKnowledge designing and implementing physical security systems including access control, surveillance, and intrusion detection.\n\nProficient in physical security engineering and system integration.\n\nAdvanced knowledge of machine learning frameworks and statistical modeling.\n\nAble to analyze complex data sets and develop actionable insights.\n\nFamiliar with regulatory and compliance standards for data management and security.\n\nAble to interact effectively at all levels and across diverse cultures.\n\nAble to lead cross‑functional teams and manage multiple projects simultaneously.\n\nAttentive to detail and accuracy.\n\nEffective written and verbal communication skills with the ability to present complex data insights clearly.\n\nServe as a positive team leader.\n\nClient orientated and results driven.\n\nProficient with big data tools and technologies such as Hadoop, Spark.\n\nComputer skills; Microsoft Office, Snowflake, SQL, and Python.\n\nWorking Conditions\nWith or without reasonable accommodation, requires the physical and mental capacity to effectively perform all essential functions;\n\nRegular computer usage.\n\nOccasional reaching and lifting of small objects and operating office equipment.\n\nFrequent sitting.\n\nTravel, as required.\n\nPinkerton 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.\n\nBenefits\nBenefit 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.\n\nPosted Salary Range\nUSD $149,000.00 - USD $149,000.00 /Yr.\n\nLocation\nUS-CA-Santa Clara\n\nID\n2026-2856\n\nCategory\nSecurity Risk Management\n\nPosition Type\nFull-Time\n\nMin Pay Rate\nUSD $149,000.00/Yr.\n\nMax Pay Rate\nUSD $149,000.00/Yr.\n\nJob Type\nOn-Site\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T04:44:18.891Z","dateModified":"2026-06-20T04:44:18.891Z","hiringOrganization":{"@type":"Organization","name":"Pinkerton","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"04120b242eb1bedb4d34c0e3"},"url":"https://jobsearcher.com/jobs/04120b242eb1bedb4d34c0e3"}}