Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Job The Technology Risk & Compliance business serves as the first line of defense in managing technology risk across Allstate Technology Solutions (ATS).
Job The Technology Risk & Compliance business serves as the first line of defense in managing technology risk across Allstate Technology Solutions (ATS).
Des Moines, IA, United States11d agoFull-timeOn-site
Must be available to work an overnight shift aligned to location Central Time 12:00 AM – 8:30 AM (starting Monday) Pacific Time 10:00 PM – 6:30 AM (starting Sunday evening) Advanced-level knowledge of client/server, voice and data network, mainframe z/OS operating system and subsystems, applications environments, automated scheduling software and monitoring systems. • Proven ability to identify conflicts and facilitate resolution. • Experience in risk and production management in the operations environment.
Must be available to work an overnight shift aligned to location Central Time 12:00 AM – 8:30 AM (starting Monday) Pacific Time 10:00 PM – 6:30 AM (starting Sunday evening) Advanced-level knowledge of client/server, voice and data network, mainframe z/OS operating system and subsystems, applications environments, automated scheduling software and monitoring systems. • Proven ability to identify conflicts and facilitate resolution. • Experience in risk and production management in the operations environment.
Life at Honda We’re working together to build strong communities inside and outside. Link Culture We’re working together to build strong communities inside and outside.
Life at Honda We’re working together to build strong communities inside and outside. Link Culture We’re working together to build strong communities inside and outside.
Responsibilities • Lead the enterprise Tableau Cloud strategy, including roadmap development, platform evolution, and adoption across stakeholders • Establish standards for certified data assets, reporting consistency, and governed self-service analytics • Ensure BI solutions support financial, management, and operational reporting • Partner with Data, Analytics, and AI teams to enable AI-assisted insights and augmented analytics • Ensure analytics capabilities are secure, compliant, explainable, and aligned with governance standards • Define and operate the BI governance framework, including access, lifecycle management, and performance standards Oversee platform scalability, performance, usage, and cost efficiency • Translate business requirements into scalable BI architecture and delivery roadmaps • Lead prioritization, sequencing, and risk management across BI initiatives • Ensure delivery quality, release readiness, and platform reliability Act as a strategic partner to business, finance, product, and technology leaders • Communicate roadmap, progress, and platform capabilities to senior stakeholders • Drive adoption and value realization of enterprise analytics • Build and lead high-performing teams, including mentorship and performance management What are we looking for?
Responsibilities • Lead the enterprise Tableau Cloud strategy, including roadmap development, platform evolution, and adoption across stakeholders • Establish standards for certified data assets, reporting consistency, and governed self-service analytics • Ensure BI solutions support financial, management, and operational reporting • Partner with Data, Analytics, and AI teams to enable AI-assisted insights and augmented analytics • Ensure analytics capabilities are secure, compliant, explainable, and aligned with governance standards • Define and operate the BI governance framework, including access, lifecycle management, and performance standards Oversee platform scalability, performance, usage, and cost efficiency • Translate business requirements into scalable BI architecture and delivery roadmaps • Lead prioritization, sequencing, and risk management across BI initiatives • Ensure delivery quality, release readiness, and platform reliability Act as a strategic partner to business, finance, product, and technology leaders • Communicate roadmap, progress, and platform capabilities to senior stakeholders • Drive adoption and value realization of enterprise analytics • Build and lead high-performing teams, including mentorship and performance management What are we looking for?
Fort Mill, South Carolina, United States of America11d agoFull-timeOn-site
Job Overview The Client Empowerment Advisor Learning and Development training role delivers live customized training internal (LPL employees) and external (Advisors and Support Staff).
Fort Mill, South Carolina, United States of America11d agoFull-time
Job Overview The Client Empowerment Advisor Learning and Development training role delivers live customized training internal (LPL employees) and external (Advisors and Support Staff).
Charlotte, NC, USA, United States11d agoFull-timeOn-site
To read more about what our tech team does, be sure to visit our tech blog at ally.tech Lead the strategy, design, and governance of enterprise security architecture across data protection and workplace security domains.
To read more about what our tech team does, be sure to visit our tech blog at ally.tech Lead the strategy, design, and governance of enterprise security architecture across data protection and workplace security domains.
Detroit, MI, USA, United States11d agoFull-timeOn-site
The Work Itself • Agent runtime and tooling infrastructure Own the shared Python script library that underpins Confluence, Jira, and Dynatrace integrations — auth patterns, SSL context management, REST helpers, error handling conventions • Build and maintain the scaffolding that new agent types are generated from (session startup, context loading, tool access patterns, output schemas) Standardize how agents write, read, and manage files in C:/Temp/ and persistent storage — naming conventions, JSON schemas, lifecycle management Deployment and CI/CD for AI workloads • Build the CI pipeline integrations that execute agent-driven gates (coverage, vulnerability, SRE readiness) as blocking checks before merge • Implement the exit-code conventions and JSON report schemas that gate scripts emit, so CI can act on them reliably Own the environment and dependency management for the Python agent scripts pinned versions, packaging, distribution to developer machines and CI runners API and integration platform Maintain and evolve the REST API patterns for Confluence Cloud (Basic auth, Cloud HTML sanitization rules, version conflict handling) and on-prem Jira (Bearer PAT, CA cert, pagination) Build reusable integration modules that any agent or script can import rather than re-implement Extend MCP server configurations as new tool needs are identified; manage settings and permission profiles across the Claude Code harness Developer experience Reduce the friction for teams onboarding to the Lightspeed framework — templates, init scripts, documentation, and the CLAUDE.md / knowledge core content that makes new agents immediately productive Build the tooling that validates agent behavior against the manifest and behavioral rules before a new agent type ships Own the C:/Temp/ workspace conventions, script naming standards, and output file lifecycle so the pipeline components stay composable The Skills You Bring Minimum Requirements 3+ years of relevant experience Bachelor’s Degree in relevant field(s) of study or equivalent Preferred Requirements 4+ years in platform, developer tools, or infrastructure engineering Strong Python — you write clean, reusable library code, not just scripts Experience owning shared tooling or internal SDKs used by other developers Solid understanding of REST API patterns auth, pagination, error handling, retries, versioning Strongly preferred Experience building or maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar) with custom gates and quality checks Familiarity with the Anthropic Claude API, Claude Code, or MCP server configuration Experience with Confluence or Jira REST APIs — both Cloud and on-prem variants are a plus Python packaging, dependency management (Poetry or pip with pinned requirements), and distribution to mixed environments Comfort reading and writing JSON schema definitions and designing file-based data contracts between pipeline components What sets the best candidates apart You think in contracts and seams you define what a platform component promises to callers before writing a line of implementation You have maintained shared tooling at scale and understand the cost of breaking changes in internal libraries You find the repeated pattern across five different scripts and extract the right abstraction — not too early, not too late You have shipped developer tooling that other engineers actually used and appreciated How We'll Have Your Back Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals.
The Work Itself • Agent runtime and tooling infrastructure Own the shared Python script library that underpins Confluence, Jira, and Dynatrace integrations — auth patterns, SSL context management, REST helpers, error handling conventions • Build and maintain the scaffolding that new agent types are generated from (session startup, context loading, tool access patterns, output schemas) Standardize how agents write, read, and manage files in C:/Temp/ and persistent storage — naming conventions, JSON schemas, lifecycle management Deployment and CI/CD for AI workloads • Build the CI pipeline integrations that execute agent-driven gates (coverage, vulnerability, SRE readiness) as blocking checks before merge • Implement the exit-code conventions and JSON report schemas that gate scripts emit, so CI can act on them reliably Own the environment and dependency management for the Python agent scripts pinned versions, packaging, distribution to developer machines and CI runners API and integration platform Maintain and evolve the REST API patterns for Confluence Cloud (Basic auth, Cloud HTML sanitization rules, version conflict handling) and on-prem Jira (Bearer PAT, CA cert, pagination) Build reusable integration modules that any agent or script can import rather than re-implement Extend MCP server configurations as new tool needs are identified; manage settings and permission profiles across the Claude Code harness Developer experience Reduce the friction for teams onboarding to the Lightspeed framework — templates, init scripts, documentation, and the CLAUDE.md / knowledge core content that makes new agents immediately productive Build the tooling that validates agent behavior against the manifest and behavioral rules before a new agent type ships Own the C:/Temp/ workspace conventions, script naming standards, and output file lifecycle so the pipeline components stay composable The Skills You Bring Minimum Requirements 3+ years of relevant experience Bachelor’s Degree in relevant field(s) of study or equivalent Preferred Requirements 4+ years in platform, developer tools, or infrastructure engineering Strong Python — you write clean, reusable library code, not just scripts Experience owning shared tooling or internal SDKs used by other developers Solid understanding of REST API patterns auth, pagination, error handling, retries, versioning Strongly preferred Experience building or maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar) with custom gates and quality checks Familiarity with the Anthropic Claude API, Claude Code, or MCP server configuration Experience with Confluence or Jira REST APIs — both Cloud and on-prem variants are a plus Python packaging, dependency management (Poetry or pip with pinned requirements), and distribution to mixed environments Comfort reading and writing JSON schema definitions and designing file-based data contracts between pipeline components What sets the best candidates apart You think in contracts and seams you define what a platform component promises to callers before writing a line of implementation You have maintained shared tooling at scale and understand the cost of breaking changes in internal libraries You find the repeated pattern across five different scripts and extract the right abstraction — not too early, not too late You have shipped developer tooling that other engineers actually used and appreciated How We'll Have Your Back Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals.
Responsibilities • Lead the development, implementation, and execution of key end client strategy initiatives • Define and evolve LPL’s enterprise-wide end client experience vision across the full wealth lifecycle • Establish clear standards and expectations for what “competitive” end client experiences should be Take a data-driven approach to identify and prioritize opportunities to improve end client experiences • Evaluate potential opportunities, including building clear business cases and prioritizing highest-value initiatives • Develop strategic perspectives on key topics including end client growth, segmentation, and experience priorities • Lead development of differentiated experience strategies tied to measurable commercial outcomes (e.g., retention, growth, satisfaction) Leverage qualitative (market trends, competitive intel, client research) and quantitative (financial data, behavioral data) insights to inform strategy Conduct research with advisors and end clients (surveys, interviews, user testing) to inform strategy and validate ideas Act as a central strategic partner and influencer across product, technology, operations, and advisor organizations • Influence senior leadership and governance forums to align priorities, investments, and execution • Develop and operationalize enterprise frameworks (e.g., experience frameworks, journey maps, business requirements) • Develop executive-ready presentations for senior leadership, including management committee and Board audiences • Drive a cultural shift toward end client-centricity across the firm What are we looking for?
Responsibilities • Lead the development, implementation, and execution of key end client strategy initiatives • Define and evolve LPL’s enterprise-wide end client experience vision across the full wealth lifecycle • Establish clear standards and expectations for what “competitive” end client experiences should be Take a data-driven approach to identify and prioritize opportunities to improve end client experiences • Evaluate potential opportunities, including building clear business cases and prioritizing highest-value initiatives • Develop strategic perspectives on key topics including end client growth, segmentation, and experience priorities • Lead development of differentiated experience strategies tied to measurable commercial outcomes (e.g., retention, growth, satisfaction) Leverage qualitative (market trends, competitive intel, client research) and quantitative (financial data, behavioral data) insights to inform strategy Conduct research with advisors and end clients (surveys, interviews, user testing) to inform strategy and validate ideas Act as a central strategic partner and influencer across product, technology, operations, and advisor organizations • Influence senior leadership and governance forums to align priorities, investments, and execution • Develop and operationalize enterprise frameworks (e.g., experience frameworks, journey maps, business requirements) • Develop executive-ready presentations for senior leadership, including management committee and Board audiences • Drive a cultural shift toward end client-centricity across the firm What are we looking for?
Requirements 7+ years of branch experience either in a role of branch manager, branch operations/service or branch administration Bachelor's degree Series 7, 66, 9, and 10 10 years+ of financial services experience Willingness to travel to branch offices as needed Core Competencies: Strategic Agility: Approaches strategy with an entrepreneurial mindset.
Requirements 7+ years of branch experience either in a role of branch manager, branch operations/service or branch administration Bachelor's degree Series 7, 66, 9, and 10 10 years+ of financial services experience Willingness to travel to branch offices as needed Core Competencies: Strategic Agility: Approaches strategy with an entrepreneurial mindset.
Detroit, MI, USA, United States11d agoFull-timeOn-site
The Work Itself Production readiness and SLO ownership Run the 10-point production readiness gate for every Lightspeed and Logos service before first production deploy — SLOs defined, runbook exists, alerting configured, rollback documented, on-call assigned Define and maintain Dynatrace SLOs for AI-powered services; configure burn-rate alerting (multi-window, aligned to user impact) Own the error budget policy track consumption, flag services approaching exhaustion, enforce the deployment freeze when budgets are gone Observability for AI workloads Instrument AI agent pipelines with structured JSON logging (traceId, spanId, correlationId), custom metrics, and distributed traces Build Dynatrace dashboards for AI services request rate, error rate, latency P50/P95/P99, dependency health, agent invocation counts and failure rates Identify and address the observability gaps that make AI system failures hard to diagnose — context truncation, tool call failures, model timeouts, partial completions SRE agent development and maintenance Own the sre-gate, sre-monitor, sre-pir, sre-remediation, and sre-validation agents — keep their behavioral rules, domain context, and integration patterns current Maintain the SLO definitions, domain team map, incident classification, and runbook location config in the knowledge core (domain.md, architecture.md) Extend the SRE reliability anti-pattern checklist as new failure modes are identified in AI-powered services Incident management and PIR Lead post-incident reviews for production AI service failures; generate structured PIRs and track remediation items through to closure in Jira Monitor for recurring patterns (same root cause three or more times triggers systemic pattern review); drive elimination of systemic issues Maintain on-call rotation coverage across the service portfolio; run escalation path validation before each new service goes live Reliability design review Review PRs and architecture designs for AI services against the reliability anti-pattern checklist before merge retries, circuit breakers, health endpoints, graceful degradation, rollback plans Issue BLOCKING vs ADVISORY findings with specific file and line citations Work with developers to resolve BLOCKING findings before they reach production The Skills You Bring Minimum Requirements 3+ years of experience High School Diploma or GED equivalent Preferred Requirements 4+ years in SRE, platform engineering, or production operations with direct ownership of production services Deep familiarity with SLO/SLI/error budget concepts — not just the theory, but day-to-day operation in a real environment Experience with an observability platform at the level of configuring alerts and dashboards, not just reading them (Dynatrace, Datadog, New Relic, or equivalent) Strong Python or TypeScript — you write and own automation, not just runbooks Strongly preferred Experience instrumenting distributed systems for observability structured logging, metrics, distributed tracing Familiarity with the Anthropic Claude API or Claude Code — understanding what makes AI agent systems fail differently from conventional services Experience running post-incident reviews and tracking systemic remediation to completion Confluence and Jira integration experience — the SRE toolchain here publishes directly to both Financial services or other highly regulated environment experience What sets the best candidates apart You have written the alerting rules and SLO definitions, not just responded to the pages they generate You understand the specific failure modes of AI systems non-determinism, context limits, tool call failures, latency spikes from model inference — and you know how to build observability that surfaces them You treat reliability as a shared engineering discipline, not an ops function — you work with developers before code merges, not after pages fire You have maintained runbooks that were actually used during incidents, which means they were accurate, concise, and kept current How We'll Have Your Back Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals.
The Work Itself Production readiness and SLO ownership Run the 10-point production readiness gate for every Lightspeed and Logos service before first production deploy — SLOs defined, runbook exists, alerting configured, rollback documented, on-call assigned Define and maintain Dynatrace SLOs for AI-powered services; configure burn-rate alerting (multi-window, aligned to user impact) Own the error budget policy track consumption, flag services approaching exhaustion, enforce the deployment freeze when budgets are gone Observability for AI workloads Instrument AI agent pipelines with structured JSON logging (traceId, spanId, correlationId), custom metrics, and distributed traces Build Dynatrace dashboards for AI services request rate, error rate, latency P50/P95/P99, dependency health, agent invocation counts and failure rates Identify and address the observability gaps that make AI system failures hard to diagnose — context truncation, tool call failures, model timeouts, partial completions SRE agent development and maintenance Own the sre-gate, sre-monitor, sre-pir, sre-remediation, and sre-validation agents — keep their behavioral rules, domain context, and integration patterns current Maintain the SLO definitions, domain team map, incident classification, and runbook location config in the knowledge core (domain.md, architecture.md) Extend the SRE reliability anti-pattern checklist as new failure modes are identified in AI-powered services Incident management and PIR Lead post-incident reviews for production AI service failures; generate structured PIRs and track remediation items through to closure in Jira Monitor for recurring patterns (same root cause three or more times triggers systemic pattern review); drive elimination of systemic issues Maintain on-call rotation coverage across the service portfolio; run escalation path validation before each new service goes live Reliability design review Review PRs and architecture designs for AI services against the reliability anti-pattern checklist before merge retries, circuit breakers, health endpoints, graceful degradation, rollback plans Issue BLOCKING vs ADVISORY findings with specific file and line citations Work with developers to resolve BLOCKING findings before they reach production The Skills You Bring Minimum Requirements 3+ years of experience High School Diploma or GED equivalent Preferred Requirements 4+ years in SRE, platform engineering, or production operations with direct ownership of production services Deep familiarity with SLO/SLI/error budget concepts — not just the theory, but day-to-day operation in a real environment Experience with an observability platform at the level of configuring alerts and dashboards, not just reading them (Dynatrace, Datadog, New Relic, or equivalent) Strong Python or TypeScript — you write and own automation, not just runbooks Strongly preferred Experience instrumenting distributed systems for observability structured logging, metrics, distributed tracing Familiarity with the Anthropic Claude API or Claude Code — understanding what makes AI agent systems fail differently from conventional services Experience running post-incident reviews and tracking systemic remediation to completion Confluence and Jira integration experience — the SRE toolchain here publishes directly to both Financial services or other highly regulated environment experience What sets the best candidates apart You have written the alerting rules and SLO definitions, not just responded to the pages they generate You understand the specific failure modes of AI systems non-determinism, context limits, tool call failures, latency spikes from model inference — and you know how to build observability that surfaces them You treat reliability as a shared engineering discipline, not an ops function — you work with developers before code merges, not after pages fire You have maintained runbooks that were actually used during incidents, which means they were accurate, concise, and kept current How We'll Have Your Back Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals.
and Requirements The Team You Will Join At MetLife, data isn’t just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact.
and Requirements The Team You Will Join At MetLife, data isn’t just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact.
Grand Island, New York, United States of America11d agoFull-timeOn-site
The Scientist III will help define and deliver a practical bioprocess digital twin roadmap, including data strategy, model development, validation, deployment, and cross-functional adoption.
Grand Island, New York, United States of America11d agoFull-time
The Scientist III will help define and deliver a practical bioprocess digital twin roadmap, including data strategy, model development, validation, deployment, and cross-functional adoption.