Agile Coach

Agile Coach - BA07AE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. Role & Responsibilities Align strategy to execution by translating enterprise priorities into actionable portfolio and team ways of working Enable end-to-end delivery by standardizing ways of working, PDLC practices, and execution consistency across teams and value streams Advance AI Operating Model adoption by coaching leaders and teams on AI-enabled roles, practices, and delivery models; drive responsible AI usage patterns (guardrails, quality, and reuse) Strengthen governance and metrics by delivering portfolio insights, dashboards, and data-driven decision support for leaders; use AI-assisted analysis to identify trends, risks, and improvement opportunities Scale coaching impact with AI and enterprise tooling by leveraging AI copilots/accelerators for facilitation prep, content creation, workflow automation, and insight synthesis; establish reusable prompt patterns and coaching assets Build enterprise capability by providing training, onboarding, and continuous skill refresh across roles (leaders, product, engineering, and delivery) Enable AI literacy and adoption through training, clinics, and office hours (prompting basics, role-based use cases, and safe ways to apply AI within delivery workflows) Launch new and guide existing teams through transformation by coaching leaders and teams on Agile principles, flow, and outcome-based planning Enable program and ART execution by facilitating key events (e.g., PI planning, backlog refinement, feature/story workshops, Scrum of Scrums, retrospectives) Identify, elevate, and help remove systemic impediments and dependencies that limit flow, predictability, and value delivery What Leading Enterprises Expect from Agile/Enterprise Coaches in the AI Era Outcome- and decision-centric coaching: Help leaders and teams shift from activity tracking to outcome validation, clearer decision ownership, and faster learning loops AI-enabled operating model adoption: Translate AI operating model intent into practical team behaviors (intake paths, role clarity, lifecycle expectations, and ways of working from POC → Pilot → Scale) Advocate for disruption to legacy ways of working reinforcing agentic processes Guardrails that preserve speed and trust: Reinforce responsible AI usage patterns by clarifying where humans must own decisions, how evidence is captured, and how teams work safely within enterprise controls Metrics that matter in AI-accelerated delivery: Evolve measurement beyond output/throughput into signals that highlight rework, decision latency, quality, and risk escapes—using data to focus coaching where it drives enterprise outcomes Scale enablement through reusable assets: Build repeatable playbooks, prompt patterns, role-based job aids, and communities of practice that allow consistent coaching outcomes across portfolios and teams Reduce friction in execution: Identify and address common enterprise anti-patterns that slow AI delivery (unclear ownership/decision rights, duplicated intakes, fragmented backlogs, inconsistent tooling/cadences) Partner across product, engineering, design, risk, and data: Coach cross-functional leaders to operate as integrated product teams: aligning roles, handoffs, and quality standards so AI solutions move from experimentation to production reliably Qualifications Exceptional communication, influencing, leadership, and problem-solving skills, including the ability to explain complex delivery and AI concepts in practical terms Demonstrated fluency using AI copilots/accelerators to augment work (e.g., summarization, synthesis, drafting, analysis) and ability to coach others on effective prompt patterns and reusable workflows Working knowledge of responsible AI practices (data protection, confidentiality, model limitations, bias awareness) and ability to apply enterprise guardrails while enabling adoption Experience coaching through transformation, including operating model change, role clarity, and measurable improvements to flow, predictability, and outcomes Strong coaching, facilitating, mentoring and teaching skills Solid understanding of organizational change management 5+ years of agile team & program level experience Agile or SAFe Practitioner certification Jira, Azure DevOps, Rally or similar Agile management tooling experience with preference for using AI-native tooling including Jira Rovo, Atlassian Intelligence or similar solutions Gen AI platform proficiency (e.g., GitHub Copilot, Azure AI studio) Knowledge of Agile Engineering practices including AI Operating Model, Enterprise Architecture, DevOps (CI-CD, Test Driven Development, BDD, etc.) is a plus Product management and technology delivery experience valued Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. $120,000 - $180,000 Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age #J-18808-Ljbffr Dormont Manufacturing Company