Agile Practitioner, Digital Products

Black & Veatch Family of Companies•Cary, NC

1d•Hybrid

About The Position

Black & Veatch is seeking an Agile Practitioner, Digital Products to lead the training, implementation, and adoption of Agile practices across software design and development teams responsible for building digital products. This role is crucial for operationalizing the Digital Product Operating Model (DPOM) by establishing appropriate ways of working, coaching product and engineering teams, and measuring outcomes to enhance value delivery, predictability, and resilience at scale. The practitioner will collaborate with Product Leaders, Engineering Managers, Design, Architecture, InfoSec, and PMO/Governance to integrate Agile, lean product discovery, and flow-based delivery practices, ensuring that necessary artifacts, ceremonies, and metrics are in place from ideation through launch and scaling. Embedding the DPOM’s principles and lifecycle at the team level is essential for achieving value, agility, predictability, and resilience within the digital products portfolio, transforming the operating model into a system of daily behaviors, artifacts, and metrics for teams to deliver results. The Business Enablement group at Black & Veatch, which includes Digital & Information Technology, Global Finance, Global Human Resources, Legal, Risk Management, Government Affairs, and Real Estate and Building Services, supports the organization's people, projects, and businesses.

Requirements

10+ years in Agile delivery roles (Scrum Master/Agile Coach/Process Lead) supporting software product teams; proven success implementing Agile at team-of-teams or portfolio scale.
Bachelor’s in Computer Science/Engineering or equivalent experience.

Nice To Haves

Deep fluency in Scrum, Kanban, Lean product discovery, and flow metrics; able to tailor practices to context (no “one size fits all”).
Demonstrated experience leading adoption programs: curriculum design, workshops, team coaching, and leader enablement.
Competence with product/engineering toolchains (e.g., Azure DevOps/Jira, Confluence, GitHub/GitLab, CI/CD, test automation, observability).
Strong data orientation—defining OKRs and delivery metrics and using them to drive decisions and improvement.
Excellent facilitation, storytelling, and change leadership skills with senior stakeholders across product, engineering, and business located across the globe.
Background working with cloud-native architectures, APIs, data/ML pipelines, and platform practices to effectively partner with engineering leadership.
Exposure to AI-assisted software delivery and knowledge management, consistent with DPOM’s AI-as-an-accelerator stance.
Experience aligning product portfolio governance with stage gates/exit criteria and investment models.
CSM/PSM, A-CSM/PSM II or higher; Kanban (KMP), SAFe/SPC or equivalent; ICP-ACC/ATF or comparable coaching credentials.

Responsibilities

Translate DPOM principles into actionable delivery frameworks (Scrum, Kanban, multi-track discovery/delivery, scaling patterns) tailored to product context; define lightweight, auditable controls that improve outcomes without adding friction.
Establish and maintain the operating “playbook” (rituals, roles, artifacts, checklists, and decision cadences) that teams use during discovery, build, validate/pilot, launch, and scale.
Partner with PMO/Governance to align product planning and sequencing with investment guardrails, stage gates/exit criteria, and portfolio rhythms.
Design and deliver role-based training for Product Managers/Owners, Scrum Masters, Tech Leads, Designers, QE, SRE and stakeholders; build onboarding paths and curriculum for new teams.
Provide hands-on team coaching (stand-ups, backlog refinement, sprint/PI planning, reviews/demos, retros, flow-of-work management) and one-on-one mentoring to uplift skill and mindset.
Launch and facilitate a Community of Practice to institutionalize learning, share templates, and evolve standards.
Lead Agile readiness and “go-live” checklists across discovery, prototyping/planning, design/development, validation/pilot, and launch/scale; ensure required DPOM artifacts (e.g., PR/FAQ, JTBD, user research, business case, roadmap, SDLC/tooling, QA/InfoSec, WCAG) are produced with clear exit criteria.
Integrate AI-enabled accelerators where practical (e.g., backlog generation, code assistance, test creation, documentation, analytics) as a core capability—consistent with DPOM’s guidance that AI is a strategic accelerator across the model.
Partner with Architecture/Platform and DevOps to align team workflows with CI/CD, environments, observability, and SLO management.
Define and operationalize product and delivery metrics: value (OKRs, product KPIs), flow (lead time, cycle time, throughput, WIP/flow efficiency), predictability (commitment reliability), and quality/reliability (defect escape rate, CFR/MTTR, SLO attainment, change fail rate).
Establish transparent dashboards; run inspect-and-adapt cadences with team and leadership; drive targeted experiments (Kaizen) to remove bottlenecks and improve capacity focus.
Create simple narratives and visuals that connect product outcomes to enterprise strategy; coach stakeholders on agile funding, capacity planning, and evidence-based governance.
Orchestrate communication plans and stakeholder workshops to build buy-in and sustain adoption across business and technology.