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CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 115 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide.

CAS is currently seeking a Software Engineer. This position will be located in our headquarters in Columbus, Ohio.

Job Summary:

In this role, you will design, build, and deploy software applications, services, and systems that advance the scientific capabilities of CAS Custom Services, offering expert scientific knowledge management consulting and custom informatics solutions. As a member of an Agile team, you will work closely with product owners and teammates to refine backlogs, groom epics and user stories, and prepare for upcoming sprints. Success in this role requires a strong understanding of project processes, the ability to collaborate effectively, and a proactive approach to solving technical challenges.

Job Duties:

Software Development

• Design, develop, and enhance complex software applications, services, and systems across multiple Agile delivery teams, applying advanced engineering principles to deliver high‑quality CAS products and solutions.
• Exercise independent technical judgment to evaluate requirements, propose architectures, and implement scalable, maintainable code aligned with organizational standards and emerging best practices.

Backlog & Sprint Collaboration

• Partner strategically with product owners and cross‑functional teammates to refine and prioritize, ensuring clarity of scope, feasibility, and alignment with broader product roadmaps.
• Leverage domain expertise to influence backlog quality, identify dependencies, mitigate risks, and shape sprint deliverables that advance product and organizational objectives.

DevOps, Automation, and Engineering Excellence

• Champion modern engineering practices by advancing automated testing frameworks, continuous integration/continuous delivery (CI/CD), and robust change‑control methodologies.
• Identify and implement opportunities for process optimization, proactively improving reliability, efficiency, and speed of delivery across the development lifecycle.

Cross-Functional Engagement & Influence

• Build influential relationships with stakeholders across CAS to align technical execution with business needs, resolve cross‑team challenges, and accelerate shared outcomes.
• Serve as a trusted technical partner, contributing expertise, anticipating impacts, and ensuring solutions integrate effectively across functions.

Continuous Learning & Technology Foresight

• Stay ahead of emerging technologies and industry trends, proactively assessing their application to CAS solutions and influencing team adoption of modern tools, patterns, and practices.
• Engage in ongoing professional development through formal training and peer collaboration, contributing to a culture of knowledge sharing and technical excellence.

Qualifications:

• Bachelor’s degree: Computer science or engineering, or equivalent experience.
• 8+ years of software development and application delivery experience
• Coursework or familiarity with chemistry preferred
• Strategic thinking and strong communication and interpersonal skills. Strong team player with team spirit. Able to communicate effectively across all levels of management in a highly matrixed and/or agile environment.
• Experience in leadership roles on application delivery teams
• Demonstrated passion for coding, learning, and improving craftsmanship
• Willingness to develop cross-functional skills to support the Agile team’s needs
• Demonstrated self-motivation and initiative. Able to motivate team members to be creative and efficient .
• Ability to work independently and within a matrix organization.
• Ability to build relationships and influence others.

Technical Experience

• Java and Python development
• Spark and Scala
• Docker and Kubernetes
• Linux command line proficiency
• Experience with public cloud environments (AWS preferred)
• JavaScript/TypeScript web development and popular frameworks, i.e. React
• NoSQL databases (MarkLogic strongly preferred)
• Infrastructure as Code (Terraform and/or AWS CDK)
• CI/CD tools (Jenkins or GitLab)
• MCP or Agentic AI frameworks
• AI coding assistants (Claude Code, GitHub Copilot)
• Common development tools, i.e. VS Code, Intellij IDEA, etc.

CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Disabled/Veteran

Senior Business Analyst Life & Annuities

Onsite in WDM office 4 days a week

Contract

Overview:

We are seeking an experienced Senior Business Systems Analyst (AI Enablement) to support ***’s AI transformation initiatives. This role will partner with ***’s BSA team, IT leadership, and PMO to understand current SDLC processes, identify pain points, gaps, and inconsistencies across teams, and translate findings into a more streamlined, AI-enabled operating model.

The BSA will assess our current requirements elicitation process and help define how an AI-infused approach can significantly improve the thoroughness, completeness, and quality of user requirements specifically for consumption by an AI coding agent. This includes identifying cross-system dependencies, non-functional requirements, and user personas from initial requirement elicitation through Jira story creation. This role will help transform our BSA capabilities by leveraging custom-built AI solutions to accelerate cycle time, improve consistency, and reduce downstream rework.

This role will also define measurable success criteria and develop metrics to evaluate process improvements and AI impact across the SDLC: gathering requirements across several other SDLC-related AI initiatives and provide light project management support across multiple AI workstreams.

Key Responsibilities

Assess current BA workflows, documentation standards, and impact analysis processes from user requirement elicitation through Jira story creation, identifying gaps, redundancies, inconsistencies and improvements across teams.

Identify friction points and define AI-enabled use cases with measurable business outcomes.

Drive feedback loops for AI proofs of concept (POCs) delivered to teams by gathering structured user input, measuring adoption and effectiveness, and incorporating insights into iterative improvements.

Develop clear, actionable requirements including user stories, acceptance criteria, non-functional requirements, personas, and upstream/downstream system impacts.

Determine and help establish processes or patterns to ensure user requirements align with current system capabilities. Proactively identify cross-system dependencies, technical constraints, gaps, and system limitations in collaboration with engineering teams to ensure requirements are technically feasible and implementation-ready.

Support backlog grooming, sprint planning, demos, and pilot validation sessions.

Track progress across multiple AI initiatives, manage dependencies and risks, and maintain clear stakeholder communication.

Develop and maintain lightweight project plans, timelines, and status reporting to ensure AI initiatives remain aligned with business priorities and strategic objectives.

Required Qualifications

5+ years of Business Analysis or Business Systems Analysis experience in technology or software environments.

Strong requirements elicitation, documentation, and facilitation skills.

Experience working in Agile environments with cross-functional teams.

Practical familiarity with AI tools (e.g., Claude Code CLI, ChatGPT, Copilot) and understanding of AI concepts (LLMs, prompt engineering, AI governance, and AI risk considerations).

Strong systems thinking, structured communication, and stakeholder management skills.

Preferred Experience

Experience implementing AI or automation solutions within enterprise environments.

Familiarity with AWS AI services (e.g., AWS Bedrock) or other enterprise AI platforms.

Familiarity with Jira, Confluence, GitHub, or similar SDLC ecosystems.

Experience supporting PMO processes or managing multiple concurrent initiatives along with a functional understanding of Agile practices.

Financial services or insurance industry experience.

Success Measures

Successful delivery of an AI-enabled solution for ***’s BSA team.

Improved BA workflow efficiency, quality, and consistency.

High-quality, implementation-ready requirements that reduce downstream rework and delivery thrash.

Effective coordination, transparency, and measurable progress across AI initiatives.

Pyramid Systems is seeking an Cloud Logging Engineer (Splunk & AWS) who is responsible for ensuring the availability, performance, and security.

• Advise on cost efficiency for future usage and cost optimization for current infrastructure.
• Automate the management and enforcement of policies.
• Create and maintain documentation related to architecture and operational processes for CLS (Centralized Logging Solution).
• Develop a set of best practices and architecture patterns.
• Help maintain regulatory compliance of the CLS (Centralized Logging Solution) infrastructure.
• Help monitor and maintain CLS performance, availability, and capacity.
• Help maintain application container images.
• Offer solutions for ingestion of logs to Splunk via cloud native solutions.
• Maintain all infrastructure as code.
• Provide operations monitoring of CLS platform to enable proactive issue identification, response, and resolution.
• Recommend and execute improvements to the existing CLS architecture and design with growth and scalability in mind to optimize performance, stability, reliability, and agility.
• Responsible for reporting on current infrastructure status, and planning for future usage.
• Responsible for Beats agent deployments and container infrastructure analysis, optimization, and capacity planning.
• Maintain CI/CD pipelines for configuration deployments to applications.
• Support large-scale deployments with data feeds from multiple on premise and cloud data centers.
• Upgrade, install, configure monitoring solution for AWS for Windows and Linux servers.
• Utilize automation tool such as Terraform, Ansible, AWS Cloud Formation, Azure Resource Manager, or similar.
• Participate in a rotating on call schedule and weekly off hours maintenance.

• Splunk certification required***
• Candidate background eligibility requirements are United States citizen or be a Permanent Resident and have lived in the United States for at least 3 years, clean criminal background and able to obtain a Public Trust (High-Risk) Position.

• Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline OR AWS/Azure Certification (AWS Professional / Specialty Cert. OR Azure Expert / Advanced Cert.) OR 4 years of relevant experience in one of the VAECOT suite of tools (Science Logic, Dynatrace, Turbot, AppDynamics)

• Minimum of three (3) years of experience in leading technical teams to achieve objectives and outcomes.

• Minimum of six (6) years setting up, configuring, and using AWS cloud operational tools to ensure service level agreements and performance targets are met, and continued compliance with policies, standards and guidelines.

• Minimum of three (3) years specific to monitoring Centralized Logging Solution (CLS)/Splunk

• Subject matter expertise with ALL VAEC Cloud Service Providers which currently includes Microsoft Azure and Amazon Web Services (AWS).

• Experience with programming with Splunk language (SPL) or equivalent (e.g., Python, Powershell, AWS or Azure CLI).

• One or more of these Splunk certifications: Splunk Core Certified Power User, Splunk Core Certified Advanced Power User, Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, Splunk Enterprise Security Certified Admin, Splunk IT Service Intelligence Certified Admin.

• Knowledge of enterprise logging, with a focus on security event logging.

• Solid understanding of cloud concepts, either using Azure or AWS semantics.

• Experience in one or more of the VAECOT suite of tools, shown below:

VAEC Operational Tools (VAECOT)

Some experience in one or more of the following tools:

Third party tools

* Application Performance Monitoring: Dynatrace, AppDynamics

* Cloud Security: Nessus, NetSkope, Enterprise Security External Change Council, Identity and Assessment Management, Continuous Monitoring as a Service, McAfee, eMASS, Centrify

* Cloud Governance: Turbot

* DevOps/Configuration Management/Help Desk: Ansible, Service Desk, ScienceLogic, ServiceNow, SPLUNK, Jira ServiceDesk, Cloudockit, GitHub

* Containerization: Red Hat OpenShift

* Migration: CloudKey, Version One

* Reporting: Apptio

Cloud Service Provider (CSP) Operational Tools Tools/Services

* AWS Security: System Manager (Explorer and OpsCenter), CloudWatch, Config, CloudTrail, Elasticsearch (Kinesis DataStreams), GuardDuty, Inspector, Key Management Service (KMS), Security Hub, Directory Service, Identity and Access Management, Resource Access Manager, Cognito, Secrets Manager, Certificate Manager, Artifact

* Aws Monitoring and Logging: QuickSight, Eventbridge (AWS Kinesis DataStreams), Simple Notification Service (SMS), Elasticsearch (AWS Kinesis DataStreams), CloudTrail, CloudWatch

* Aws Networking: Virtual Private Cloud (VPC), Route S3, API Gateway, Direct Connect, AppStream 2.0, Transit Gateway, Elastic Loadbalancer, Firewall Manager, WAF & Shield

* AWS Storage: Cloud Tiering Services to S3 from On-Prem, Simple Storage Services (S3), S3 Glacier, Storage Gateway, Elastic File System (EFS), Backup

* Azure Security: Monitor (Log Analytics and ASC), Event Hubs, Security Center (ASC), Information Protection (AIP) , Key Vault, PowerBI, Network Watcher (Performance Monitor), Monitor (Log Analytics and ASC)

* Azure Monitoring and Logging: Information Protection (AIP), Advance Threat Protection, Security Center (ASC), Information Protection (AIP), Key Vault, Active Directory, Role Based Access Control (RBAC), Resource Manager (ARM), Resource Graph (ARG), Active Directory B2C, Key Vault, App Service, Service Trust Portal

* Azure Networking: Virtual Network, Traffic Manager, DNS, Application Gateway, Express Route, Web Apps, FrontDoor, VPN Gateway, Loadbalancer, Firewall

* Azure Storage: NetApp File Service, Storage (Blobs, Disks, Files, Queues, Tables), Storage Archive Access Tier, StorSimple, Files, Backup

Title: Full Stack Developer with AI

Duration: 12 Months+

Location: Spring, TX

Type: Onsite

We are seeking a Full Stack Developer who will contribute to building scalable backend services including platform and utility modules application. You will also play an active role in implementing GenAI use cases using modern agentic frameworks.

You will collaborate with product owner, trading fusion developers, data engineers, and other full stack developers across regions.

Responsibilities?:?

• Platform Engineering & Support
• Develop, enhance, and support components of the Global Trading App platform
• Implement monitoring, alerting, and telemetry capabilities using modern observability tools
• Improve platform reliability, scalability, and performance through proactive engineering
• Author infrastructure-as-code using Terraform for cloud resources

Application & Service Development

• Build secure and scalable backend APIs (primarily in Python / FastAPI)
• Create responsive and efficient React-based UI components
• Develop reusable utility modules for fusion teams to accelerate delivery

GenAI & Agentic Solutions

• Implement GenAI-powered features using LLMs, vector databases, and multi-agent frameworks
• Develop "agentic" workflows for automation, troubleshooting, and developer productivity
• Build model integration and evaluation

Collaboration & Standards

• Contribute to engineering best practices and documentation
• Work closely with global trading fusion teams to ensure alignment and technical excellence

Qualifications?:

• Python (advanced): APIs, data processing, async programming
• React: modern component-based UI development
• FastAPI: building high performance backend services
• DBT: data engineering and transformation
• GitHub/CI/CD: strong version control and build pipeline experience

Preferred Skills:

• Terraform, Azure, AWS: infrastructure provisioning and automation
• Databricks, Snowflake
• GenAI / Multi-Agent
• Experience implementing solutions using LLMs, embeddings, prompt engineering
• Familiarity with agentic coding frameworks (e.g., LangChain, AutoGen, OpenAI agents, etc.)
• Understanding of RAG, model orchestration, and AI application patterns

Soft Skills:

• Strong problem-solving skills and ownership mindset
• Ability to work in global, cross-functional teams
• Clear communication and documentation abilities
• Comfort operating in fast-paced, high-availability environments
• Adaptability and willingness to learn new technologies and methodologies

We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you!

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

We're looking for a Product Manager with a demonstrated interest and aptitude for AI. While formal on-the-job experience with AI is a plus, we highly value candidates who have proactively incorporated AI into their personal projects, explored AI-driven development environments (e.g., Cursor, GitHub Copilot), or built automations using AI agents. Show us how you've used AI to learn, build, and solve problems beyond basic text generation.

What we are looking for:

A knowledge and passion for emerging technologies (API's, Big Data, Native UI's) to incorporate into building great products

Use SQL to build a data-back strategy, identify insights, and troubleshoot issues

Own day to day setting and monitoring of KPIs - requires strong SQL/data analysis skills

Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team

Proficiency in handling large data files using SQL, Python, and/or R

Own day to day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data

A product centric mindset to take a product from ideation to production and continually iterate improvements

A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams

A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging

Creating and maintaining a healthy team culture through thoughtful leadership

Results focused and able to manage and prioritize multiple projects simultaneously

Identify, prioritize, and launch innovative, merchant focused products that drive revenue and customer value

What you'll do:

Lead multiple teams of software and data engineers to design and deliver data platform features for internal users

Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns

Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions

Create a vision and roadmap for your product that addresses stakeholder needs

Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches

Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms

Define, socialize, and monitor key performance indicators to understand the evolution and success of the project

Basic Qualifications:

At least 5 years of experience working in Product Management

At least 5 years experience working with SQL

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)

A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

Experience translating business strategy and analysis into consumer facing digital products

Capital One is open to hiring a Remote Employee for this opportunity .

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Senior Manager, Product Manager: Capital One Shopping (Remote-Eligible)

We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you!

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

We're looking for a Product Manager with a demonstrated interest and aptitude for AI. While formal on-the-job experience with AI is a plus, we highly value candidates who have proactively incorporated AI into their personal projects, explored AI-driven development environments (e.g., Cursor, GitHub Copilot), or built automations using AI agents. Show us how you've used AI to learn, build, and solve problems beyond basic text generation.

What we are looking for:

• A knowledge and passion for emerging technologies (API's, Big Data, Native UI's) to incorporate into building great products

• Use SQL to build a data-back strategy, identify insights, and troubleshoot issues

• Own day to day setting and monitoring of KPIs - requires strong SQL/data analysis skills

• Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team

• Proficiency in handling large data files using SQL, Python, and/or R

• Own day to day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data

• A product centric mindset to take a product from ideation to production and continually iterate improvements

• A customer-first mindset

• A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams

• A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging

• Creating and maintaining a healthy team culture through thoughtful leadership

• Results focused and able to manage and prioritize multiple projects simultaneously

• Identify, prioritize, and launch innovative, merchant focused products that drive revenue and customer value

What you'll do:

• Lead multiple teams of software and data engineers to design and deliver data platform features for internal users

• Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns

• Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions

• Create a vision and roadmap for your product that addresses stakeholder needs

• Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches

• Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms

• Define, socialize, and monitor key performance indicators to understand the evolution and success of the project

Basic Qualifications:

• At least 5 years of experience working in Product Management

• At least 5 years experience working with SQL

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

• Experience translating business strategy and analysis into consumer facing digital products

Capital One is open to hiring a Remote Employee for this opportunity .

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-8 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Helping all candidates find great careers is our goal. The information you provide here is secure and confidential.

We are now directing you to the original job posting. Please apply directly for this job at the employer’s website.

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

AT&T will not hire any applicants for this position who require employer sponsorship now or in the future.

Join AT&T and reimagine the communications and technologies that connect the world. The Chief Information Office is responsible for advancing information technology performance and delivering solutions with a focus on maximizing ROI, increasing efficiency and enhancing the experience of end users. Guided by experienced leaders, Corporate Systems seamlessly integrate with advanced Technology and Operations to drive our enterprise forward. Our Systems Reliability and Software Delivery teams are unwavering in their commitment to excellence, ensuring every solution is robust and efficient. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.

What you’ll do:

The Release Manager oversees planning, scheduling, and deployment of software and infrastructure releases across the enterprise, ensuring seamless integration, minimal disruption, and alignment with organizational objectives. This role champions Agile, DevOps, CI/CD, and AI-enabled strategies to optimize release processes and enhance reliability. The Release Manager builds, owns, and manages a single calendar-of-record for all enterprise releases and changes across Applications, Infrastructure, Load Balancers, LAN/WAN, Mobility Core, DNS, HVA/HVD, Security, Data Center/Cloud, and Network Operations.

Key Responsibilities:

• Release Planning & Coordination: Develop and execute comprehensive release plans for software and infrastructure deployments. Align schedules across dependent systems and integrate Agile and DevOps principles into release trains.
• Risk & Issue Management: Use predictive analytics and AI-driven insights to identify, track, and mitigate risks. Proactively manage release-level jeopardies and determine optimal release paths.
• Enterprise-wide Release Calendar Management: Ensure proactive visibility, collision avoidance, and post-change learning across IT, Infrastructure, Network, and Operations to prevent service conflicts and outages.
• Deployment & Monitoring: Oversee end-to-end deployment activities using CI/CD pipelines and automation tools. Ensure rapid issue resolution to minimize downtime.
• Quality & Compliance: Maintain audit-ready, compliant release processes (e.g., SOX). Leverage metrics and analytics for continuous improvement.
• Stakeholder Communication: Provide transparent updates on release status, dependencies, and impacts. Segment communications for stakeholders and manage approvals and CAB agendas.
• AI-Enabled Release Management Strategy:
• Transition from fragmented, app-driven release practices to a mature enterprise model by embedding AI-powered capabilities such as predictive risk analysis, automated change validation, and intelligent scheduling across RM/CM solution areas.
• Mentoring; Drives Culture of Continuous Improvement

What you’ll need:

• Expert level Knowledge of SDLC for SAFe Agile and DevOps environments; best-in-class Release and Change Management framework and IT Service Management. Hands-on experience with Jira Align, Jira Cloud, JSM, GitHub, ServiceNow. Strong understanding of release/change lifecycle and Outage root cause analysis
• Data and AI Skillset: Advanced Data analytics, KPI metrics, and Prompt Engineering expertise; Guiding development of Agentic AI workflows and Gen AI use cases; Power BI; Python
• Governance and Communication: Establishing process framework, Implementing solutions and tools, Building standardized playbooks, and leading governance boards for ATS-wide implementation

What you’ll bring:

Required

• 7+ years in release management, software engineering, or related disciplines.
• ServiceNow certification is required (CAD, CSA, CIS).
• Strong experience in Agile, DevOps, CI/CD; certifications preferred.
• Familiarity with AI-driven analytics and automation; Python; PowerBI.
• Hands-on experience with Jira Align, Jira Cloud, JSM, GitHub, ServiceNow.
• Strong understanding of release/change lifecycle and Outage root cause analysis
• Experience with Agile SAFe, Waterfall, and hybrid delivery models.
• Modern Enterprise Release Management and ITSM
• Advanced expertise in Excel, PowerPoint, PowerBI

Preferred

• BS/BA in Computer Science or related field.
• Modern Release Management processes for Agile and DevOps environments
• Jira Align, JSM, Jira Cloud, Git for enterprise RM/CM
• ServiceNow for ITSM and RM/CM automation
• Modern Enterprise Release Management and ITSM