Project Manager

Mandatory Areas : Agile methodologies RACI dashboards optimize flow MS Project Data & Analytics Program Strategy & Planning Translate business objectives into clear program charters, scope, success metrics (OKRs), and value hypotheses. Develop integrated plans (roadmaps, timelines, dependency maps, resource plans) for multi-team initiatives. Facilitate prioritization with Product and Engineering; run quarterly/PI planning (Scrum/SAFe, as appropriate). Required Qualifications Bachelor’s in Computer Science, Engineering, Information Systems, or related field (Master’s preferred). 6–10+ years in technical program/project management, product delivery, or engineering leadership. Proven success delivering large-scale software or platform initiatives across multiple teams. Strong knowledge of SDLC, Agile (Scrum/Kanban/SAFe), DevOps/CI-CD, and cloud-native architectures. Excellent communication (written/verbal), facilitation, and stakeholder management skills. Advanced proficiency in program tooling: Jira/Advanced Roadmaps, Confluence, Azure DevOps, MS Project, Smartsheet, or equivalent. Preferred Qualifications Experience with one or more domains: Cloud (Azure/AWS/GCP), Data & Analytics, AI/ML, Security & Identity, FinTech/Payments, E-commerce, or Enterprise SaaS. Certifications: PMP, PMI-ACP, CSM/SAFe, or AWS/Azure/GCP cloud certifications. Familiarity with SRE practices (SLIs/SLOs/Error Budgets), observability, and cost optimization (FinOps). Experience with compliance standards relevant to your industry (e.g., PCI DSS for payments, HIPAA for healthcare). Execution & Delivery Own program schedules; track against milestones; manage critical path, dependencies, and scope changes. Run cadences: stand‑ups, scrum‑of‑scrums, release planning, risk reviews, and post‑mortems. Drive release readiness with engineering, QA, security, and operations; enforce change management. Risk, Compliance & Governance Identify and maintain a risk register; establish mitigation and contingency plans. Ensure compliance with security, privacy, accessibility, and regulatory requirements (e.g., SOC 2, ISO 27001, GDPR, HIPAA—customize as needed). Maintain program documentation (charters, RACI, decision logs, architecture & runbooks) in Confluence or equivalent. Technical Leadership & Cross‑Functional Alignment Partner with architects to validate solution designs against non‑functional requirements (scalability, reliability, performance, cost). Facilitate trade‑off decisions (build vs. buy, roadmap vs. technical debt). Align technical dependencies across services, platforms, and shared components. Stakeholder Management & Communication Provide transparent status reporting (dashboards, burn‑up charts, KPIs) tailored to executives and teams. Lead steering committees; escalate blockers early with options and recommendations. Drive change enablement with documentation, training, and adoption metrics. Continuous Improvement Implement delivery metrics and retrospectives; optimize flow (WIP limits, SDLC guardrails). Standardize program processes, templates, and tooling; mentor PMs/engineers on best practices. Key Deliverables Program Charter, OKRs, and Business Case Integrated Roadmap & Release Plan Risk/Issue/Dependency Register Architecture & Technical Decision Log Status Reports and Executive Dashboards Change Management & Release Readiness Checklist Post‑Implementation Review (PIR) and Lessons Learned Core Competencies Technical Depth: Can engage on architecture, APIs, data pipelines, cloud infra, scalability, and operational readiness. Systems Thinking: Understands end‑to‑end flows and how changes ripple across ecosystems. Execution Excellence: Drives predictability, eliminates blockers, and ships outcomes—not just artifacts. Influence Without Authority: Builds alignment across teams with different incentives. Decision Quality: Frames trade‑offs with data; chooses scalable long‑term solutions. Customer & Business Focus: Links technical delivery to measurable business value and user impact. Tools & Technologies Planning: Jira/Advanced Roadmaps, Confluence, Azure DevOps, MS Project, Smartsheet, Miro. Engineering & DevOps: Git/GitHub/GitLab, Jenkins/Azure DevOps Pipelines/GitHub Actions, Docker, Kubernetes. Cloud: AWS (EC2, EKS, S3, Lambda), Azure (AKS, ADO, App Services), GCP (GKE, Cloud Run). Data/AI: Databricks, Spark, Kafka, Airflow, dbt, Snowflake/BigQuery/Redshift, MLflow, Feature Stores. Observability: Prometheus, Grafana, New Relic, Dynatrace, Splunk, ELK. Security/Compliance: Vault, Defender, Prisma, Okta, SonarQube, Snyk. Collaboration: Microsoft 365, Teams, SharePoint, Power BI, Slack. Success Metrics & KPIs Delivery Predictability: % milestones met, variance to plan, lead/cycle time. Quality & Reliability: Defect escape rate, MTTR, change failure rate, SLO adherence. Business Outcomes: OKR attainment, feature adoption, NPS/CSAT, revenue/cost targets. Efficiency: Velocity trends, WIP limits adherence, automation coverage, cloud cost per transaction. Risk & Compliance: # high‑severity risks mitigated, audit readiness, policy adherence. ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr Robotics Technologies LLC