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Consultant - Technical Project Manager​/ Business Analyst

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Slalom Build
Full Time position
Listed on 2026-08-07
Job specializations:
  • IT/Tech
    Change Management, IT Project Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below


** This role isnoteligiblefor
100% remote work. Employees must live within a commutable distance of the Los Angeles and Orange County Metropolitan Area. Employees must be willing to be onsite at the client in Los Angeles/Orange County and/or Slalom Los Angeles/Orange County office up to 5 days a week.**

Role:
Consultant - Technical Project Manager/Business Analyst

Title:

Consultant

Location:

Los Angeles and/or Orange County Who You’ll Work With

At Slalom, our Delivery capability is the engine that powers transformation. We are the connective tissue across all capabilities—bringing strategy to life through execution that is rigorous, adaptive, and outcome-driven.

You’ll join a community of delivery professionals who thrive in complexity and are passionate about making things happen. Our teams lead high-impact initiatives across industries, partnering with clients to navigate ambiguity, align stakeholders, and deliver results that matter. Whether it’s a multi-workstream transformation or a product launch, we bring clarity, structure, and momentum to every engagement.

We work shoulder-to-shoulder with clients, tailoring delivery approaches to meet them where they are—whether Agile, Waterfall, or hybrid. Our focus is on enabling predictable, repeatable outcomes that help organizations dream bigger, move faster, and build better tomorrows.

What You’ll Do
  • Lead and oversee complex technical projects or portfolios from initiation through closeout.
  • Develop and manage detailed project plans including scope, objectives, timelines, budgets, and risk mitigation strategies
  • Partner with business and technology stakeholders to gather, document, and validate business requirements.
  • Ensure project deliverables integrate into a cohesive end‑state solution and achieve intended business outcomes.
  • Build and maintain strong client relationships, ensuring transparency through proactive status reporting, risk management, and stakeholder engagement.
  • Tailor delivery approaches across Agile, Waterfall, and hybrid methodologies based on client needs.
  • Identify and leverage opportunities to incorporate AI‑enabled tools, automation, or analytics to improve delivery effectiveness and operational efficiency.
  • Monitor progress, manage dependencies, and implement corrective actions to keep initiatives on track.
  • Facilitate key project ceremonies and governance forums.
  • Manage financial performance, including budget tracking and forecasting.
  • Mentor and support team members, contributing to a high-performance and collaborative environment.
  • Contribute to continuous improvement of internal delivery processes and knowledge sharing.
  • Support testing, UAT coordination, change readiness, and implementation planning as needed.
What You’ll Bring
  • 5+ years of consulting experience leading technology projects (i.e. ERP implementations and/or upgrade projects) and business transformation initiatives in roles such as Project Manager and/or Business Analyst and/or Delivery Lead.
  • Proficiency Agile, Scrum, SAFe, Waterfall, and hybrid delivery methodologies.
  • Proven experience gathering requirements, documenting business processes, and translating business needs into actionable deliverables.
  • Experience working with cross-functional teams including business, product, technology, architecture, and operations stakeholders.
  • Strong understanding of AI concepts, including experience leveraging generative AI and AI‑enabled tools to improve delivery, productivity, and decision‑making. Experience supporting projects involving AI solutions, intelligent automation, advanced analytics, or machine learning is preferred.
  • Deep understanding of the full project and software development lifecycle, from strategy and business case development through implementation and operational transition.
  • Solid technical foundation with with an understanding of software development life cycles, cloud technologies, APIs, integration patterns, and enterprise IT architecture.
  • Strong understanding of the end‑to‑end technology project lifecycle - from business case development through planning, execution, deployment, and operational transition.
  • T echnical fluency with modern software engineering practices, including…
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