1002 Data Management Manager Configuration jobs in Plano,TX

Minimum of 1–3 years of data entry experience (production environment preferred)
Ability to meet typing requirements (40+ WPM) and 10-key score (8,000 KPH with 95% accuracy)
High School Diploma or equivalent and strong English reading, writing, and communication skills
Proficiency with MS Office Suite, PC navigation, and ability to follow complex instructions independently
Strong attention to detail, critical thinking, and problem-solving skills
Proven reliability with excellent attendance record
100% onsite role in Dallas, TX

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Lead Actuarial Predictive Modeler

ACSC Management Services

Coppell, TX 75019

~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Masters Equivalent combination of education and experience Required
7-9 years Experience building and deploying predictive models in an insurance environment required
Master's degree in Actuarial, Statistical, or Data Science field (or equivalent combination of education and experience) required
Strong SQL skills

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TS/SCI AWS Database Engineer- Multiple Locations TX PA CO VA with Security Clearance

Associates Systems LLC

Richardson, TX 75080

New, Posted 19 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Denton, TX 76205

~ 41 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.

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Manager, Credit Strategy for Auto Finance Analytics

OneMain Financial

Irving, TX 75062

Hybrid~ 35 minUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree (Graduate a plus) in a quantitative discipline, such as Engineering, Statistics, Economics, Data Analytics or Computer Science.
2+ years of experience in a data driven analytics environment; consumer lending preferred; Master's or PHD degrees may offset experience. 4+ years required
Advanced analytical skillset using tools such as SQL, SAS, Excel skills required; experience with multiple types of relational databases and/or querying languages is a plus such as R, Hive Python, Oracle, Unix are desired
Innovative and capable of developing a highly analytical approach to solving problems
Experience driving projects and presenting to senior management on results and ideas
Capability and willingness to learn new areas within the OneMain business and take on diverse projects

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New, Posted 6 hours ago

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