1050 Data Governance And Security Engineer jobs in Dallas,TX

Senior Associate, SailPoint Identity Governance Engineer

KPMG

Dallas, TX 75217

Onsite

Minimum three years of recent hands-on experience with IGA solutions, with at least one year specifically focused on SailPoint Identity Security Cloud (ISC)
Bachelor's degree from an accredited college or university
Application onboarding and migration experience; demonstrated experience contributing to at least one migration project from a legacy IAM solution (for example: Oracle Identity Manager, SailPoint Identity (IIQ)) to SailPoint ISC
Solid understanding of core Identity and Access Management principles, including identity lifecycle management, access requests, access certification, and role engineering; understanding of IAM and governance concepts, security controls, and regulatory requirements related to access governance (for example: SOX, NIST, ISO 27001); familiarity with cloud environments (AWS, Azure, or GCP)
Ability to travel as required
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

New, Posted 1 day ago

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AI Governance Operations Lead Director - RAIB

McKesson

Irving, TX 75039

~ 22 min Onsite

Degree or equivalent experience
Typically requires 12+ years of professional experience
4+ years of management experience
Proven experience designing, implementing, and scaling compliance programs for technology organizations
Strong understanding of AI laws, data protection laws and related regulatory frameworks, with the ability to translate regulatory expectations into practical enterprise workflow
AI/ML Technical Fluency
Understanding of AI/ML lifecycle, model validation, monitoring, and documentation
Familiarity with GenAI/LLM risks (hallucination, prompt injection, etc) +Knowledge of model risk management frameworks and risk‑tiering logic
Ability to influence senior stakeholders (VP/EVP level) across business units
Strong change‑leadership skills to drive adoption of governance processes

SmartExplore AI is experimental.

New, Posted 2 hours ago

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Manager, SailPoint Identity Governance Technical Lead

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recenthands-on experience with IGA solutions, with at least two years specificallyfocused on SailPoint Identity Security Cloud (ISC)
Bachelor's degree from anaccredited college/university in computer science, information security, or arelated field is required
SailPoint professional certifications (for example:SailPoint Certified IdentityNow Engineer) are preferred
Provenapplication onboarding and migration expertise, including leading at least onesignificant migration from legacy IAM solutions (e.g., Oracle Identity Manager,SailPoint IIQ) to SailPoint Identity Security Cloud (ISC)
Deepunderstanding of IAM and access governance (identity lifecycle, accessrequests, certification, role engineering), security controls, and regulatoryframeworks (e.g., SOX, NIST, ISO 27001); familiarity with AWS, Azure, and GCP
Abilityto lead technical workstreams, make informed decisions, mentor team members,and drive complex identity governance initiatives
Excellentanalytical, communication, presentation, and problem-solving skills, with theability to lead technical discussions; knowledge of AI tools and integrations,including management of non-human and agent identities
Ability to travel as required
Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H 1B, L 1, TN, O 1, E 3, H 1B1, F 1, J 1, OPT, CPT or any other employment based visa)

SmartExplore AI is experimental.

New, Posted 19 hours ago

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DiversityJobs

Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

New, Posted 19 hours ago

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DiversityJobs

Associate Director, Web Content Operations & Governance

Gartner

Irving, TX 75039

New, Posted 19 hours ago

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DiversityJobs

Senior Product Security Engineer - Applications

Optimum Communications

Plano, TX 75086

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Principal Engineer - Python API Development

Fidelity Investments

Coppell, TX 75019

~ 31 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

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Principal Engineer - Python API Development

Fidelity Investments

Southlake, TX 76092

~ 36 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

New, Posted 21 hours ago

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Field Risk Specialist

Datascan Technologies, LLC

Dallas, TX 75201

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Candidates must be located in**Dallas, Texas**
High School diploma or GED required, college preferred
Two years or more of applicable experience in: floorplan auditing, banking/financial services, automotive, customer service, field services or related industry.
Valid driver's license with the ability to travel overnight (3 to 5 nights average of overnight travel monthly)
Basic computer literacy required
Occasional travel outside of local territory may be required from time-to-time
Lifting and moving boxes may be required from time-to-time
Verify in stock inventory by inspecting the VIN/serial number for each floorplanned inventory unit.
Meet with authorized dealership personnel to identify the disposition of missing inventory units.
Review and verify the authenticity of dealer records and other documentation associated with sold, missing and damaged inventory units.
Verify the status of MSOs and titles.
Record status information for each inventory unit in the Ai mobile audit application.
Record information about dealer visit.
Review audit results with dealer personnel.
Communicate with client representatives about audit results, dealer conditions, and risk potential.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Sr. Data Engineer

McKesson

Irving, TX 75039

$141,336-$184,400/yr

Remote

Bachelor's Degree in Computer Science or related field of study
Five (5) years of experience in the job offered or a related occupation
Experience in data engineering with Databricks and AWS
Experience with Apache Spark, SQL, and Python or Scala
Experience with Delta Lake, Unity Catalog, and cloud data warehouses (e.g., Redshift)
Experience with data modeling, ETL/ELT processes, and data governance
Experience with orchestration tools including Gitlab or Bitbucket and CI/CD practices
Experience in collaborating with cross-functional teams to deliver data solutions using Python and Databricks in Agile environments
Experience with design and optimizing scalable data pipelines with Python and Spark in Databricks
Experience with developing modular, reusable components in Databricks notebooks and workflows
Experience in implementing data validation frameworks to ensure pipeline accuracy and consistency

SmartExplore AI is experimental.