<p>We are looking for an experienced Senior Workday Payroll Analyst to support a contract engagement based in Bedford, Massachusetts. This role is ideal for someone who is detail oriented and can take ownership of key Workday payroll initiatives, contribute to validation efforts, and produce practical end-user documentation that improves adoption. The position will partner with stakeholders to strengthen payroll-related processes, help drive project execution, and support successful delivery within a complex Workday environment.</p><p><br></p><p>Responsibilities:</p><p>• Lead Workday payroll activities by advancing project deliverables, resolving open items, and keeping assigned work on track for timely completion.</p><p>• Support testing efforts by coordinating scenarios, documenting results, identifying defects, and working with partners to address issues efficiently.</p><p>• Create clear job aids, user guides, and training materials that help employees and business teams use Workday payroll processes effectively.</p><p>• Collaborate with cross-functional stakeholders across HR, finance, and ERP teams to align payroll functionality with business needs.</p><p>• Contribute to rollout planning by organizing key activities, tracking readiness, and helping ensure a smooth deployment approach.</p><p>• Provide functional guidance on Workday payroll, integrations, and related system processes to improve accuracy and operational consistency.</p><p>• Analyze payroll workflows and recommend practical enhancements that strengthen process performance and user experience.</p><p>• Assist with Workday-related documentation and knowledge transfer so teams are prepared to support ongoing operations after implementation milestones.</p>
<p><strong>AVP of Operations & Client Success</strong> with 7-10+ years of experience in operations, client success, marketing, account management needed for a full-time, fully remote position with our agency client. Will have one direct report. Salary is 120-130K plus bonus.</p><p><br></p><p>The <strong>AVP of Operations & Client Success</strong> is a hands-on leadership role responsible for aligning client strategy, program delivery, and operational execution. This position serves as the bridge between sales and execution, ensuring client programs are structured effectively, delivered successfully, and aligned with business goals.</p><p>This role oversees high-value client relationships, fulfillment of contractual commitments, operational processes, team execution, and cross-functional coordination. The ideal candidate brings both strategic leadership and a willingness to stay close to day-to-day execution in a fast-paced, growing environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Partner with sales leadership to ensure client commitments align with operational capabilities</li><li>Oversee delivery of client programs, ensuring quality, accuracy, and on-time execution</li><li>Manage senior-level client relationships, presentations, and ongoing communications</li><li>Improve workflows, systems, and processes to support scalable, consistent execution</li><li>Monitor budgets, resource allocation, and delivery performance across active programs</li><li>Lead and support the marketing/operations team with clear direction, accountability, and hands-on involvement</li><li>Oversee contracts, documentation, compliance, and RFP/proposal support</li><li>Help drive client satisfaction, retention, and long-term growth</li></ul>
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices.<br><br>Responsibilities:<br>• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.<br>• Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards.<br>• Collaborate with engineering and product teams to translate data-driven insights into actionable strategies.<br>• Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions.<br>• Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations.<br>• Conduct exploratory data analysis and create visualizations to communicate findings effectively.<br>• Build and optimize ETL pipelines for efficient data transformation and integration.<br>• Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy.<br>• Maintain comprehensive documentation of data science workflows and processes.<br>• Stay updated on industry trends and advancements to continuously enhance methodologies and tools.