• Manage multiple SOWs within large client accounts. • Ensure all projects are delivered on time and on budget. • Coordinate across Paid Media, Creative, Strategy, and Project Management teams. • Serve as the main point of contact for complex accounts. • Source and manage external partners when needed. • Track budgets, risks, and overall program performance. • Support and guide Project Managers as needed.

Company Description QAD is building a world-class SaaS company, providing enterprise software solutions globally. We are a virtual-first company, enabling our team to work primarily from home, while fostering a collaborative culture focused on growth, innovation, and well-being. We value diversity and strive for an inclusive environment where everyone feels empowered to contribute to our success. Job Description This is a remote position within US but we will only consider candidates located in midwest/east coast states (CST and EST time zones) due to extensive travel requirement - Lead end-to-end ERP implementation projects from initiation through go-live and post-deployment stabilization. - Apply PMI project management methodologies (Initiating, Planning, Executing, Monitoring & Controlling, Closing) to ensure predictable, on-time, and on-budget delivery. - Define and manage project scope, schedule, budget, risks, assumptions, and dependencies in alignment with the Statement of Work. - Establish and maintain integrated project plans, including milestones, deliverables, resource assignments, and critical paths. - Enforce formal change control processes to ensure all scope changes are documented, estimated, approved, and tracked. - Facilitate project governance, including steering committee meetings, executive communications, and formal project status reporting. - Participate in and deliver internal and customer-facing project reviews, including financial, delivery, and risk assessments. - Coordinate cross-functional teams (functional consultants, technical resources, client stakeholders, and third-party vendors). - Ensure deliverables meet defined acceptance criteria and quality standards before the customer signs off. - Proactively identify, escalate, and resolve project risks and issues using structured mitigation and contingency planning. - Drive customer adoption and readiness through effective planning of testing, training, cutover, and go-live activities. - Align service delivery with ITIL principles, particularly around incident, change, and release management during deployment. - Maintain accurate project documentation and ensure compliance with internal delivery standards and contractual obligations. - Leverage Professional Services Automation (PSA) systems (e.g., Certinia or equivalent) for project financials, forecasting, resourcing, and billing accuracy. Qualifications Specific Requirements - Minimum 8 years of experience leading ERP implementations, preferably in manufacturing, distribution or supply-chain environments. - Proven experience managing enterprise-level ERP projects (QAD; SAP, Oracle, or similar ERP experience acceptable). - Based in the East and Central regions of the United States. - Excellent verbal and written communication skills, with the ability to engage executive and operational stakeholders. - Highly organized, detail-oriented, and capable of managing multiple concurrent projects. - Willingness and ability to travel up to 50% as required by project needs. - Strong customer-facing skills with a consultative, results-driven mindset. Key Performance Indicators (KPIs) - Project Margin: Deliver projects within approved budgets while meeting or exceeding margin targets. - Billable Utilization: Maintain target billable utilization rates aligned with role expectations. - Customer Satisfaction: Achieve high customer satisfaction scores (CSAT/NPS) at key project milestones and closure. - Time to Value / Time to Go-Live: Meet or improve planned go-live dates and accelerate customer realization of business value. Additional Information Compensation Package: - Base pay range: $140,00-155,000 USD Annual (12 Months) base salary + bonus plan - Placement within our pay range will vary based on knowledge, skills, experience, and market location variations as well as internal peer equity. - U.S. benefits package includes medical, dental and vision coverage, a 401(k) plan with company match, short-term and long-term disability coverage, life insurance, unlimited paid-time off, parental leave, and well-being programs. About QAD: QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days. QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. #LI-Remote - Department: Services - Location: United States of America - Florida

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform. We are now launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are building a team of McKinsey, BCG, and Bain consultants who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations. You will join a team of McKinsey and Bain consultants shaping how AI learns high-level business reasoning. Important: This role is exclusively for consultants with MBB experience (McKinsey, BCG, or Bain). If you do not have direct experience at one of these firms, please do not apply. This requirement is non-negotiable and helps us ensure the domain is built by practitioners with firsthand MBB training and standards. Who We’re Looking For Consultants with 3+ years of experience at McKinsey & Company, Boston Consulting Group, or Bain & Company. You should have hands-on project experience: - Structuring ambiguous client problems - Building models and synthesized findings - Producing client-ready deliverables - Forming recommendations under uncertainty No deep technical background required, we'll onboard you on the lightweight tools involved. What You’ll Do - Build realistic consulting project environments: create detailed project scenarios (industry context, financials, constraints, incomplete information). - Design structured consulting tasks for AI Agents: break projects into tasks that mirror real consulting work such as market sizing, due diligence, cost reduction, growth strategy, or operational diagnosis. - Define evaluation criteria and quality standards: develop a grading approach, evaluation criteria and golden solutions for each task that will be used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale. This is a remote individual-contributor project-based role focused on analytical design and evaluation. Skills & Requirements - 3+ years at McKinsey, BCG, or Bain - Strong structured problem-solving skills - Ability to translate vague problems into clear analytical steps - High attention to logical consistency - Independent working style - Clear written English (B2+)

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform. We are now launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are building a team of McKinsey, BCG, and Bain consultants who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations. You will join a team of McKinsey and Bain consultants shaping how AI learns high-level business reasoning. Important: This role is exclusively for consultants with MBB experience (McKinsey, BCG, or Bain). If you do not have direct experience at one of these firms, please do not apply. This requirement is non-negotiable and helps us ensure the domain is built by practitioners with firsthand MBB training and standards. Who We’re Looking For Consultants with 3+ years of experience at McKinsey & Company, Boston Consulting Group, or Bain & Company. You should have hands-on project experience: - Structuring ambiguous client problems - Building models and synthesized findings - Producing client-ready deliverables - Forming recommendations under uncertainty No deep technical background required, we'll onboard you on the lightweight tools involved. What You’ll Do - Build realistic consulting project environments: create detailed project scenarios (industry context, financials, constraints, incomplete information). - Design structured consulting tasks for AI Agents: break projects into tasks that mirror real consulting work such as market sizing, due diligence, cost reduction, growth strategy, or operational diagnosis. - Define evaluation criteria and quality standards: develop a grading approach, evaluation criteria and golden solutions for each task that will be used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale. This is a remote individual-contributor project-based role focused on analytical design and evaluation. Skills & Requirements - 3+ years at McKinsey, BCG, or Bain - Strong structured problem-solving skills - Ability to translate vague problems into clear analytical steps - High attention to logical consistency - Independent working style - Clear written English (B2+)