... platforms, services, data practices, and customer interactions. This role is designed for a ... Implementing data discovery, classification, data loss prevention (DLP), encryption, public key ...
... platforms, services, data practices, and customer interactions. This role is designed for a ... Implementing data discovery, classification, data loss prevention (DLP), encryption, public key ...
Cybersecurity Specialist
Carmel, IN · On-site
We specialize in security, infrastructure, and cloud services, working with industry-leading OEMs ... Data protection / DLP and basic DSPM concepts * Vulnerability management and basic attack surface ...
Quick apply
Cybersecurity Specialist
Carmel, IN · On-site
We specialize in security, infrastructure, and cloud services, working with industry-leading OEMs ... Data protection / DLP and basic DSPM concepts * Vulnerability management and basic attack surface ...
AI Agent Developer
Indianapolis, IN · On-site
... service. As a leader in the plumbing industry, we take pride in our dedication to quality ... Unity Catalog (row/column-level security, lineage, audit logging), Microsoft Purview (DLP ...
AI Agent Developer
Indianapolis, IN · On-site
... service. As a leader in the plumbing industry, we take pride in our dedication to quality ... Unity Catalog (row/column-level security, lineage, audit logging), Microsoft Purview (DLP ...
Dlp Services information
See Indiana salary details
$13.95 - $18.40
14% of jobs
$22.30 is the 25th percentile. Wages below this are outliers.
$18.40 - $22.85
13% of jobs
$22.85 - $27.30
7% of jobs
$27.30 - $31.75
5% of jobs
The median wage is $34.10 / hr.
$31.75 - $36.20
20% of jobs
$38.69 is the 75th percentile. Wages above this are outliers.
$36.20 - $40.65
28% of jobs
$40.65 - $45.10
5% of jobs
$45.10 - $49.55
2% of jobs
$49.55 - $54
1% of jobs
$54 - $58.45
2% of jobs
$58.45 - $62.90
2% of jobs
$13
$34
$62
How much do dlp services jobs pay per hour?
As of Aug 22, 2026, the average hourly pay for dlp services in Indiana is $34.82, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $38.41 per hour, depending on experience, location, and employer.
What are DLP services?
DLP Services, or Data Loss Prevention Services, are security solutions designed to detect and prevent the unauthorized sharing, transfer, or loss of sensitive data within an organization. They help protect confidential information such as financial records, intellectual property, or personal data from being accidentally or intentionally leaked outside the company's network. DLP Services monitor, filter, and manage data movement across endpoints, networks, and cloud environments to ensure compliance with data protection regulations and minimize security risks.
What are the key skills and qualifications needed to thrive in a data loss prevention (DLP) services role?
To thrive in a Data Loss Prevention (DLP) Services role, you need a solid background in cybersecurity, risk management, and IT infrastructure, often supported by a relevant degree and certifications such as CompTIA Security+ or CISSP. Familiarity with DLP tools like Symantec DLP, Forcepoint, or Microsoft Information Protection, as well as experience with data classification and incident response systems, is essential. Strong analytical thinking, attention to detail, and effective communication skills help professionals proactively identify threats and articulate security risks to stakeholders. These skills and qualities are crucial for protecting sensitive data, ensuring compliance, and minimizing the risk of data breaches within organizations.
What are some common challenges faced by professionals working in data loss prevention (DLP) services, and how can they be addressed?
Professionals in DLP services often face challenges such as keeping up with rapidly evolving data threats, ensuring policy compliance across various departments, and balancing robust security with minimal disruption to business operations. Collaboration with IT, legal, and compliance teams is crucial to develop effective data protection strategies. Regular training, clear communication of policies, and leveraging advanced DLP tools help mitigate these challenges and ensure sensitive information remains secure.
What is the difference between Dlp Services vs Data Loss Prevention Analyst?
| Aspect | Dlp Services | Data Loss Prevention Analyst |
|---|---|---|
| Credentials | Certifications like CIPP, CISSP, or vendor-specific DLP certifications | Certifications such as CISSP, CIPP, or security analyst certifications |
| Work Environment | IT security teams, managed service providers, or consulting firms | Corporate security or IT departments within organizations |
| Industry Usage | Used by organizations to implement DLP solutions and services | Roles focused on analyzing, monitoring, and managing DLP policies |
While Dlp Services refer to the broader offerings of implementing and managing Data Loss Prevention solutions, Data Loss Prevention Analysts focus on analyzing data security incidents, monitoring DLP systems, and ensuring policies are effective. Dlp Services involve providing the tools and infrastructure, whereas Data Loss Prevention Analysts handle the operational and analytical aspects within organizations.
What are popular job titles related to Dlp Services jobs in Indiana?
For Dlp Services jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Dlp Services jobs in Indiana look for?
The top searched job categories for Dlp Services jobs in Indiana are:
Deloitte rating
8.2
Based on 92 frontline employees who took The Breakroom Quiz
45th of 151 rated financial services
Job description
As a Full Stack Engineer Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will operate at the intersection of client-facing advisory, product engineering, and hands-on technical delivery. You will help clients address complex challenges across digital trust, online protection, privacy, artificial intelligence governance, and data protection by translating business and regulatory requirements into scalable, production-grade technology solutions.
Full Stack Engineers work directly in client environments to architect, build, integrate, deploy, and improve solutions. Depending on the engagement, you may develop trust and safety capabilities, implement product compliance controls, operationalize privacy-by-design practices, build governance for generative or agentic AI, or deploy data protection and cryptographic solutions. These capabilities support Deloitte's broader Digital Trust & Privacy mission: helping organizations build confidence in their digital products, platforms, services, data practices, and customer interactions.
This role is designed for a technically strong consultant who can move from ambiguity to implementation, collaborate with product and engineering teams, and communicate effectively with business, security, privacy, legal, and compliance stakeholders.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Manager, Strategy, Growth and Transformation on the Digital Trust & Privacy team, you will be responsible for:
- Translating client business objectives, risk requirements, and policy expectations into technical architectures, product requirements, engineering backlogs, and implementation plans
- Leading the design, development, integration, deployment, testing, and troubleshooting of production-grade solutions within client environments, including artificial intelligence (AI) and generative AI (GenAI)-enabled capabilities, technical guardrails, and data protection integrations
- Building application programming interfaces (APIs), automations, workflows, integrations, dashboards, and other technical components, while embedding governance into development and deployment workflows through automated checkpoints, controls-as-code, policy enforcement, and continuous monitoring
- Prototyping and iterating rapidly with clients and internal specialists to validate approaches, shape solution direction, and support pursuits through demonstrations, proofs of concept, estimates, and pricing inputs
- Managing client delivery across scope, timelines, quality, client satisfaction, financials, and continuous improvement, while resolving implementation, integration, data, and deployment challenges
- Leading multidisciplinary teams and building reusable accelerators, documentation, knowledge transfer, and engineering best practices across engagements
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte Cyber's Digital Trust & Privacy practice helps organizations build and sustain confidence in their digital products, platforms, services, data practices, and customer experiences. Our work brings together digital trust, online protection, privacy, AI governance, identity, data protection, cybersecurity, and regulatory compliance capabilities.
The Full Stack Engineer team is a multidisciplinary engineering group that turns these capabilities into practical solutions. We work alongside client product, engineering, security, privacy, data, risk, compliance, and business teams to move from strategy and policy to implementation and measurable outcomes.
Our work may include:
- Helping digital platforms improve trust and safety and address online harms
- Enabling product teams to meet privacy and product compliance expectations
- Building technical governance and guardrails for generative and agentic AI
- Protecting sensitive data across cloud, collaboration, application, and enterprise environments
- Implementing data discovery, classification, data loss prevention (DLP), encryption, public key infrastructure (PKI), and related cryptographic capabilities
- Developing Deloitte products and accelerators that make complex digital trust and privacy capabilities easier to deploy and operate
The team values technical curiosity, practical problem solving, disciplined engineering, client empathy, and the ability to make complex requirements actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or equivalent demonstrated experience
- 7+ years of experience translating client requirements into target-state solution architectures using Representational State Transfer (REST) application programming interfaces, microservices, event-driven architectures, or serverless components
- 7+ years of experience building and deploying production-grade solutions using Python, Java, or Node.js, and 2+ years of experience delivering solutions on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including containers, continuous integration and continuous delivery (CI/CD) pipelines, and version control tools
- 1+ years of experience designing or deploying generative artificial intelligence (AI) or large language model (LLM) solutions in a client or production environment, including experience delivering, governing, or operationalizing generative AI, LLM, or agentic AI solutions
- Experience in one or more of the following: digital trust and online protection, trust and safety, security, product compliance, privacy, AI governance, data protection, or cryptography; and experience leading technical workstreams, multidisciplinary teams, or engineering delivery teams; managing delivery scope, timelines, quality, risks, dependencies, and client communications; coaching or mentoring other professionals; and shaping pursuits, estimates, prototypes, technical demonstrations, or solution proposals
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with JavaScript or TypeScript and React or Next.js for application or demo development
- Experience developing or deploying technical controls for generative AI, LLM, or agentic AI applications
- Experience with AI use-case inventories, risk tiering, human oversight, tool access controls, prompt-injection mitigations, logging, monitoring, or controls-as-code
- Experience in regulated industries such as financial services, healthcare, or public sector environments, including work aligned to Sarbanes-Oxley (SOX), Payment Card Industry Data Security Standard (PCI DSS), Federal Financial Institutions Examination Council (FFIEC), Health Insurance Portability and Accountability Act (HIPAA), or General Data Protection Regulation (GDPR)
- Experience with Kubernetes, GitOps, Elasticsearch, OpenSearch, Neo4j, PyTorch, or TensorFlow
- Experience owning product roadmaps, technical backlogs, or reusable engineering assets, and experience working with senior client stakeholders to facilitate architecture or risk decisions
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CyberDTP27
As a Full Stack Engineer Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will operate at the intersection of client-facing advisory, product engineering, and hands-on technical delivery. You will help clients address complex challenges across digital trust, online protection, privacy, artificial intelligence governance, and data protection by translating business and regulatory requirements into scalable, production-grade technology solutions.
Full Stack Engineers work directly in client environments to architect, build, integrate, deploy, and improve solutions. Depending on the engagement, you may develop trust and safety capabilities, implement product compliance controls, operationalize privacy-by-design practices, build governance for generative or agentic AI, or deploy data protection and cryptographic solutions. These capabilities support Deloitte's broader Digital Trust & Privacy mission: helping organizations build confidence in their digital products, platforms, services, data practices, and customer interactions.
This role is designed for a technically strong consultant who can move from ambiguity to implementation, collaborate with product and engineering teams, and communicate effectively with business, security, privacy, legal, and compliance stakeholders.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As a Manager, Strategy, Growth and Transformation on the Digital Trust & Privacy team, you will be responsible for:
- Translating client business objectives, risk requirements, and policy expectations into technical architectures, product requirements, engineering backlogs, and implementation plans
- Leading the design, development, integration, deployment, testing, and troubleshooting of production-grade solutions within client environments, including artificial intelligence (AI) and generative AI (GenAI)-enabled capabilities, technical guardrails, and data protection integrations
- Building application programming interfaces (APIs), automations, workflows, integrations, dashboards, and other technical components, while embedding governance into development and deployment workflows through automated checkpoints, controls-as-code, policy enforcement, and continuous monitoring
- Prototyping and iterating rapidly with clients and internal specialists to validate approaches, shape solution direction, and support pursuits through demonstrations, proofs of concept, estimates, and pricing inputs
- Managing client delivery across scope, timelines, quality, client satisfaction, financials, and continuous improvement, while resolving implementation, integration, data, and deployment challenges
- Leading multidisciplinary teams and building reusable accelerators, documentation, knowledge transfer, and engineering best practices across engagements
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte Cyber's Digital Trust & Privacy practice helps organizations build and sustain confidence in their digital products, platforms, services, data practices, and customer experiences. Our work brings together digital trust, online protection, privacy, AI governance, identity, data protection, cybersecurity, and regulatory compliance capabilities.
The Full Stack Engineer team is a multidisciplinary engineering group that turns these capabilities into practical solutions. We work alongside client product, engineering, security, privacy, data, risk, compliance, and business teams to move from strategy and policy to implementation and measurable outcomes.
Our work may include:
- Helping digital platforms improve trust and safety and address online harms
- Enabling product teams to meet privacy and product compliance expectations
- Building technical governance and guardrails for generative and agentic AI
- Protecting sensitive data across cloud, collaboration, application, and enterprise environments
- Implementing data discovery, classification, data loss prevention (DLP), encryption, public key infrastructure (PKI), and related cryptographic capabilities
- Developing Deloitte products and accelerators that make complex digital trust and privacy capabilities easier to deploy and operate
The team values technical curiosity, practical problem solving, disciplined engineering, client empathy, and the ability to make complex requirements actionable.
Qualifications
Required:
About Deloitte
Sourced by ZipRecruiter
Industry
Finance and insurance and business management consulting
Company size
10,000+ Employees
Headquarters location
Orlando, FL, US