Title: Infrastructure & Capital Projects, Senior Scheduler, ANS Location: - Kansas City, MO - Nationwide USA Job Description: You've Never Been Satisfied with "Good Enough." You want to make an impact, not just manage projects, but change how the world gets built. At Accenture Infrastructure & Capital Projects, you'll do exactly that. You'll help develop and deliver the factories, grids, transit systems, and public infrastructure that keep communities moving - and do it smarter, safer, and more sustainably than ever before. You'll work alongside people who think big and act bold - project managers, engineers, technologists, and strategists who blend real-world experience with digital innovation and AI. Together, we're transforming how capital projects are planned, managed, and executed, creating a better way to build for the future. Because "good enough" builds the past. You're here to build what's next, on a team that outperforms every norm. As Accenture continues to grow, you may see a variety of new career opportunities, and depending on the role and location you may be directed to apply through Accenture Infrastructure and Capital Projects LLP or one of our other legal entities - Accenture Infrastructure and Capital Projects, LLC or Accenture Infrastructure and Capital Projects Inc., with benefits varying by country and role, so please check with your recruiter for details. THE WORK: - You'll establish end‑to‑end conceptual and summary schedules aligned to specifications, WBS standards, templates, and industry best practices, ensuring all project scopes are captured from inception through closeout. - You'll coordinate cross‑functional stakeholders and facilitate interactive planning sessions to drive schedule alignment, improve templates, and support early milestone development using IMS/MMS/PBS/PSE concepts. - You'll ensure General Contractors develop fully integrated baseline schedules by reviewing Basis of Schedule documents, resolving variances, and confirming compliance with contractual CPM specifications. - You'll identify and manage critical and near‑critical paths, peak resource periods, and scope integration within the IMS, ensuring full business alignment across funding, interfaces, and long‑lead elements. - You'll own schedule quality by auditing Primavera P6 schedules (including DCMA 14‑point checks), monitoring GC compliance, and continuously improving schedule effectiveness as a project control tool. - You'll lead schedule reporting and execution support by running regular performance reviews, validating progress, analyzing deviations, and communicating status through defined reporting systems and formats. - You'll track activity progress, out‑of‑sequence work, and procurement of owner, developer, and contractor‑furnished equipment, assessing impacts to procurement plans and site need‑by dates. - You'll prepare independent schedule analyses and forecasts, including completion dates, cost and cashflow implications, risks, and earned value metrics to support informed decision‑making. - You'll identify schedule issues, perform time‑impact and recovery analyses, propose mitigation plans, and review schedule changes in coordination with project and regional leadership. - You'll produce and maintain accurate project and program deliverables such as narratives, health reports, milestone and procurement reports, executive summaries, and ensure data integrity and stakeholder alignment across all scheduling systems. - Flexible: The work location for this role will include a mix of working remotely, onsite at a client or in an Accenture office or center. - With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. $130,000 - $160,000 a year Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in Massachusetts, Illinois, Minnesota, California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below. We will accept applications until June 5th, 2026." Qualification HERE'S WHAT YOU'LL NEED: - Bachelor's degree in engineering, Construction Management, Project Management, or a related field - Minimum of 8 years of scheduling experience on large-scale construction projects - Minimum of 3 years of experience supporting data center, mission-critical, or hyperscale infrastructure projects - Proficiency with Primavera P6 scheduling software - Experience with integrated master schedules (IMS), strong CPM analysis, reporting, earned value, and schedule quality review experience. BONUS POINTS IF YOU HAVE: - Experience working on hyperscale data center programs - Knowledge of project controls, cost management, and earned value management principles - Familiarity with BIM/VDC coordination and digital project delivery tools - Experience with schedule risk analysis and recovery planning - Strong analytical and problem-solving capabilities - Excellent communication and stakeholder management skills - Ability to manage multiple priorities and deliverables simultaneously - Experience working in owner's representative or consulting environments - PMI-SP, PSP, or PMP certification preferred - Advanced skills in Microsoft Excel, Power BI, and reporting tools Locations - Kansas City, MO - Nationwide Additional Information Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at www.accenture.com.

• Define and own the infrastructure architecture vision across Fleetworthy's production environments, including how systems are designed, connected, and operated • Establish centralized observability standards adopted across all teams • Define standards for how AI workloads are hosted, scaled, and integrated across the organization • Advise on security architecture, partnering with the security manager to ensure infrastructure decisions align with compliance requirements • Work alongside embedded architects in Technical Operations, setting standards and providing guidance • Partner closely with the Staff Software Architect to maintain clear, complementary standards across both domains

• Operate and maintain on-premises infrastructure based on bare-metal Debian Linux servers • Manage OS-level configuration, networking, and system services • Automate infrastructure provisioning and lifecycle management using Chef • Manage infrastructure state via Git repositories following GitOps principles • Standardize and continuously improve infrastructure deployment workflows • Manage and operate hybrid connectivity across GCP, AWS, Megaport, and on-prem data centers • Design and maintain VPC networking, routing, and firewall rules • Operate hybrid connectivity (Direct Connect, Cloud Interconnect, VPN) • Configure and support BGP routing between cloud and on-prem environments • Ensure high availability, redundancy, and fault tolerance of network connectivity • Troubleshoot network and connectivity issues across cloud and on-prem layers

Role Description We are seeking an AI Data Infrastructure Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. Key Responsibilities - Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows. - Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals. - Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale. - Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training. - Build high-throughput data loading systems that maximize GPU utilization during training. - Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems. - Design storage architectures balancing cost, throughput, and latency across data tiers. - Build evaluation dataset construction pipelines with strict integrity and contamination controls. - Implement data privacy, redaction, and consent enforcement throughout the pipeline. - Collaborate with ML researchers and engineers to align data systems with model development needs. - Drive observability of data quality, drift, and pipeline health across the AI data estate. - Optimize cost and performance through compression, format selection, and caching strategies. - Document data systems, schemas, and operational procedures for broad internal use. - Stay current with AI data infrastructure research and emerging open-source tools. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related field. - Six or more years of data engineering experience, with significant work supporting ML or AI workloads. - Strong proficiency in Python and at least one JVM or systems language. - Deep experience with modern data processing frameworks such as Spark, Ray, or Beam. - Hands-on experience operating petabyte-scale storage and pipeline systems. - Strong understanding of distributed systems, data modeling, and storage formats. - Experience with dataset versioning, lineage, and reproducibility for ML workflows. - Familiarity with high-throughput data loading for accelerator-based training. - Strong software engineering practices including testing, CI/CD, and code review. - Excellent communication and cross-functional collaboration skills. Preferred Qualifications - Experience with multimodal datasets at large scale. - Familiarity with data quality tooling and dataset evaluation methodology. - Exposure to privacy-preserving data systems and regulated data handling. - Open-source contributions to data infrastructure projects. - Experience supporting frontier model training pipelines. Requirements - 100% Remote (Continental United States) - 6+ years of experience - Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) - No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. - Technical coding assessment is mandatory. Benefits - Competitive base salary commensurate with experience, plus benefits. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3545.