Data Analytics Manager- Data Lake
Relha LLC, California, MO, United States
Senior Consultant - Cyber Defense & Resilience - Security Operations
Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte’s Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.
As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions for clients. You will oversee workstreams, manage client relationships, guide solution design and delivery, and help develop practitioners while driving high-quality outcomes across cyber detection, response, and resilience engagements.
Recruiting for this role ends on 5/31/2026
Responsibilities
Lead the design and modernization of large-scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement scalable as-a-service operating models.
Architect and deploy advanced cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, and platforms such as Splunk, CrowdStrike, and Palo Alto.
Oversee day-to-day operations, maintenance, and ongoing enhancement of data platforms and applications, including governance and AI-enabled Data Ops capabilities.
Help clients mature their AI and Analytics journey by shaping roadmaps, scaling use cases, and aligning cyber analytics investments to business and operational outcomes.
Qualifications
Required
6+ years of relevant analytics consulting or industry experience.
4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.).
4+ years of experience in statistical analysis, machine learning, and data mining techniques.
4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions.
3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.).
2+ years of experience with SOC threat hunting and incident response.
Demonstrated expertise leading multiple full life‑cycle analytics engagements across strategy, design, and implementation.
Experience leading teams, managing workstreams, and driving delivery quality in a client‑facing environment.
Bachelor’s Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience.
Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred
Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well as the use of big data tools for the management of massive datasets.
Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
Experience parsing and normalizing cyber or IT specific telemetry datasets.
Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy.
Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end‑to‑end data management life cycle.
Ability to work independently and manage multiple task assignments.
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Travel
Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Immigration Sponsorship
Limited immigration sponsorship may be available.
Accommodation
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
Requisition Code
Requisition code: 340382
#J-18808-Ljbffr
Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte’s Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.
As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions for clients. You will oversee workstreams, manage client relationships, guide solution design and delivery, and help develop practitioners while driving high-quality outcomes across cyber detection, response, and resilience engagements.
Recruiting for this role ends on 5/31/2026
Responsibilities
Lead the design and modernization of large-scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement scalable as-a-service operating models.
Architect and deploy advanced cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, and platforms such as Splunk, CrowdStrike, and Palo Alto.
Oversee day-to-day operations, maintenance, and ongoing enhancement of data platforms and applications, including governance and AI-enabled Data Ops capabilities.
Help clients mature their AI and Analytics journey by shaping roadmaps, scaling use cases, and aligning cyber analytics investments to business and operational outcomes.
Qualifications
Required
6+ years of relevant analytics consulting or industry experience.
4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.).
4+ years of experience in statistical analysis, machine learning, and data mining techniques.
4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions.
3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.).
2+ years of experience with SOC threat hunting and incident response.
Demonstrated expertise leading multiple full life‑cycle analytics engagements across strategy, design, and implementation.
Experience leading teams, managing workstreams, and driving delivery quality in a client‑facing environment.
Bachelor’s Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience.
Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred
Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well as the use of big data tools for the management of massive datasets.
Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
Experience parsing and normalizing cyber or IT specific telemetry datasets.
Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy.
Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end‑to‑end data management life cycle.
Ability to work independently and manage multiple task assignments.
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Travel
Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Immigration Sponsorship
Limited immigration sponsorship may be available.
Accommodation
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
Requisition Code
Requisition code: 340382
#J-18808-Ljbffr