Role Description As Quality Assurance Manager, you will lead Surgence's quality strategy across our healthcare supply chain platform, ensuring quality is embedded throughout the product lifecycle. This is a technical, hands-on "player-coach" role. It combines people management, process management, leading through influence, and delivering testing excellence across enterprise SaaS, data, security, and AI-enabled solutions. You'll partner closely with cross-functional teams to drive reliable releases, scalable quality practices, and a culture of accountability and continuous improvement. - Lead and advance Surgence's end-to-end Quality Assurance strategy and execution, embedding quality throughout the Product Delivery Lifecycle (PDLC) from discovery through release and operations. - Define and enforce release-readiness standards covering functional and non-functional quality, data accuracy, security, compliance, and operational stability. - Establish and execute risk-based testing strategies across complex enterprise SaaS platforms, balancing automation, exploratory testing, regression coverage, and speed of delivery. - Own and scale quality assurance practices for data integrity, analytics accuracy, governed metrics, and secure software delivery. - Select, implement, and optimize QA tools, frameworks, and CI/CD-integrated testing approaches that balance speed with release confidence. - Build, mentor, and develop a high-performing QA organization while establishing scalable roles, responsibilities, and growth expectations. - Operate as a trusted partner to Product, Engineering, Delivery, Data, and Security leadership, fostering early alignment, surfacing cross-functional risks, and driving resolution through collaboration. - Serve as a trusted advisor on quality, release readiness, and risk, providing clear recommendations grounded in evidence, customer impact, and sound judgment. - Champion a culture of shared accountability for quality, continuous improvement, and operational excellence while balancing innovation, speed, long-term quality, and customer trust. - Define validation and monitoring strategies for AI/ML-enabled features, including accuracy, bias, edge-case testing, and regression or drift detection where applicable. - Establish organizational guardrails for responsible AI usage across QA and Engineering, reinforcing expectations around data privacy, auditability, transparency, and appropriate human oversight. - Provide visibility into quality health through release readiness assessments, defect trends, and risk reporting, escalating issues that could impact customer trust, regulatory obligations, or business commitments. Qualifications - Bachelor's degree in Business, Healthcare Administration, Quality Engineering, Computer Science, or a related field strongly preferred. - 10+ years of experience in Quality Assurance and/or Quality Engineering strongly preferred. - 5+ years leading, evolving, and optimizing QA teams and operating practices strongly preferred. - Experience in healthcare, healthcare supply chain, or other regulated industries is strongly preferred. - Strong background in B2B SaaS quality assurance, including experience with multitenant platforms, configurable customer environments, system integrations, and enterprise-grade release readiness spanning functional, regression, and performance validation. - Experience building and executing risk-based testing strategies across functional, regression, performance, and automated testing initiatives. - Proven expertise in data quality and data governance is required, including validation of data integrity, lineage, analytics outputs, and reporting controls across systems. - Experience supporting security and compliance assurance activities, including validation of access controls, permissions, and testing requirements in regulated environments. - Working knowledge of modern automation and AI-enabled quality practices is expected, including the use of AI tools to accelerate test design, automation, analysis, and documentation, with strong judgment around verification, traceability, and protection of sensitive data. - Ideal candidate has technical proficiency in Foundry-relevant languages and paradigms such as Python, SQL, and ontology-driven design is required, along with the ability to evaluate AI-generated code and test artifacts for correctness, maintainability, and risk. - The successful candidate will be comfortable operating in a player-coach capacity, balancing hands-on execution with leadership, mentoring, and team development. - Strong analytical, problem-solving, and decision-making skills, along with a proactive and pragmatic approach to quality and risk management in fast-moving, ambiguous environments. - Excellent communication and collaboration skills, with the ability to translate business needs into effective quality strategies and technical solutions. Requirements - Employment is contingent upon successfully passing a post-offer pre-employment background check and drug screening. Benefits - Health, Life, Dental, and Vision Insurance - PTO, Sick Leave, and Paid Holidays - 401K Company Match - Paid Short-Term & Long-Term Disability

Role Description We currently have an exciting opportunity for a Sr Store Analytics Manager to join the Tailored Brands Enterprise Analytics team. The Sr Store Analytics Manager is the lead analytical partner for store-growth decisions. You will help shape where Tailored Brands grows, how new opportunities are evaluated, how store maturity and network effects are understood, and how store tests and investments are measured after launch. This is a senior strategy-and-analytics role for someone who can pair quantitative rigor with executive-ready communication. What You’ll Do | Key Accountabilities - Translate complex forecasts and analytical findings into clear business recommendations, including risks, sensitivities, and executive-ready decision frameworks. - Establish and standardize analytical methodologies, assumptions, governance practices, and decision frameworks across store-growth initiatives. - Lead store maturity and sales ramp analyses to validate long-term performance assumptions and establish the foundation for next-generation forecast capabilities. - Design, execute, and communicate test-and-learn analyses for new store openings, remodel programs, market activations, and other strategic investments. - Develop and enhance predictive models that improve location selection, forecast accuracy, and understanding of drivers of store performance, including emerging work in gravity modeling, co-tenancy analysis, and market potential estimation. - Leverage internal performance data and external datasets—including mobility, consumer spend, demographic, and competitive intelligence sources—to evaluate market opportunities, quantify demand potential, and strengthen store-growth recommendations. - Partner closely with Real Estate, Store Operations, Merchandising, Finance, Data Engineering, and executive leadership to align analytical recommendations with business strategy. - Mentor analysts and contribute to the long-term analytics roadmap by identifying new opportunities to apply advanced analytics, machine learning, and external market data to drive profitable growth. Qualifications - Bachelor’s degree in Analytics, Statistics, Economics, Mathematics, Business, Data Science, Geography, or a related quantitative field; advanced degree preferred. - 10+ years of experience in analytics, strategy, retail, real estate, consulting, consumer insights, or a related field. - Strong SQL, Excel, and Python skills, with experience transforming large datasets into actionable business recommendations. - Experience building, evaluating, or operationalizing forecasting models, predictive analytics, experimentation frameworks, or other decision-support methodologies. - Familiarity with location intelligence, trade-area analytics, site selection, market planning, geospatial analysis, or related retail growth disciplines. - Experience working with external data sources such as mobility, consumer spend, demographic, competitive, or market intelligence datasets. - Strong analytical problem-solving skills, including the ability to evaluate uncertainty, quantify risk, and develop data-driven recommendations. - Proven ability to communicate complex analyses and recommendations to senior leaders and cross-functional stakeholders. - Experience partnering across functions including Real Estate, Operations, Finance, Merchandising, Data Science, or Data Engineering. - Curiosity, strong business judgment, and a continuous-improvement mindset with a passion for using data to drive growth decisions. Requirements - Ability to sit and work at a computer keyboard for extended periods of time. - Ability to stoop, kneel, bend at the waist, and reach daily. - Able to lift and move up to 25 pounds occasionally. - Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment. - Hours regularly 40 hours per week, as work dictates, from a remote office location. Benefits - This role is eligible for healthcare including medical, dental and vision. - Retirement savings (401k with a company match). - Income protection programs such as life, accident and disability insurance. - Paid time off for sick leave, vacation, bereavement, jury duty, and holidays. - Wellbeing program. - Commuter, adoption assistance, education assistance, legal services, and employee merchandise discounts. Work-Life Balance - Meeting-Free Fridays (encouraged) to catch up on work and self-development. - Summer Fridays from Memorial Day to Labor Day for a head-start to the weekend. - Holiday Early Departure to close out early the business day before a company observed holiday. The starting salary for this position is $122,700 - $188,000. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $255,694. Other compensation may include a 10% Annual Incentive Plan (AIP) bonus paid out according to policy. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable.

• Responsible for the strategic oversight and administration of leave of absence, disability, and paid time off programs across a multi-state workforce. • Serve as the subject matter expert on federal, state, and local leave laws to ensure compliant leave administration. • Oversee coordination of workers’ compensation cases with leave and disability programs. • Partner with the Benefits Manager to align leave, disability, and health plan strategies. • Monitor legislative developments and recommend policy updates. • Provide guidance on complex leave and accommodation cases with HR and Compliance teams. • Lead a team of three leave analysts and ensure high-quality case management. • Oversee day-to-day administration of leave and disability programs, including vendor performance management. • Design scalable leave processes and compliance controls.

• Lead, develop, mentor, and oversee a team of Claims Managers • Develop and implement effective claims management strategies • Oversee the evaluation, management, and resolution of complex liability claims • Collaborate with internal stakeholders including Safety, Legal, Human Resources, Operations • Partner with internal and external legal counsel to develop effective litigation strategies • Assist in the selection, engagement, and strategic oversight of outside counsel • Provide direction and oversight to third-party claims administrators and adjusters • Monitor and analyze claim trends, litigation developments, and national and jurisdictional changes • Utilize claim analytics and reporting to identify emerging risks and evaluate claim performance • Support the development and implementation of policies and procedures