Join us in advancing safer, consistent, quality healthcare for all. Job Summary: Under the direction of the Manager or Senior Manager, the Senior Clinical Data Specialist plays a vital role in delivering quality solutions to hospital partners across the country, approaching each hospital engagement as an opportunity to apply your expertise with precision. This is a unique opportunity to become a part of our team during a milestone moment in our growth, benefiting from our deep cancer registry experience and employee-centric leadership. Roles and Responsibilities: - Apply specialized, clinical knowledge of hospital partners: categorize, code, summarize, interpret and calculate registry/case information from nuanced, patient medical records.  - Ensure quality submission of all data in specified registries or measure data repositories, maintaining a high accuracy threshold. - Prioritize, organize, and meet tight deadlines for multiple concurrent tasks and team requests; use tact and judgment to manage expectations, flag obstacles, and propose solutions in a timely manner. - Navigate new technical systems: electronic medical records (EMR) and registry/case entry tools; use team resources to troubleshoot technical issues with systems and applications with a focus on solutions. - Contribute to team best practices, data dictionaries, abstraction guidelines, and other business rule documents; identify process improvement opportunities to help streamline tasks and processes. - Keeps up to date on mandated regulatory/publicly reported data requirements as specified by federal, state, payer, and other agencies. - Any or other additional responsibilities as assigned. Required Skills/Abilities: - Exposure to multiple patient medical record systems (EMRs) and clinical databases. - Intermediate proficiency with MS Office (Microsoft Excel). - Strong analytical and critical thinking skills to approach problems in a systematic method. - Demonstrates high standards for accuracy and attention to detail. - Demonstrates technical savvy and strong desire to learn new systems and technology. - Thrives working independently and takes ownership of projects/patient records. - Consistently and clearly communicates, adjusting style and tone as needed to effectively collaborate with hospital partners, peers, team leads and others. - Demonstrates strong self-organizational and time management skills to concurrently manage multiple accounts, adjusting as needed to shifting timelines and priorities.  - Ability to adapt to changes in timelines, requirements, and project assignments. - Maintains a high degree of responsibility in keeping PHI secure and confidential. - All applicants require legal authorization to work in the United States now or in the future without sponsorship. Education and Experience: - Must have at least 1 year of CathPCI Registry (NCDR/ACC) abstraction experience. - Exposure to patient medical record systems (EMRs) and clinical databases. Total Rewards: At Q-Centrix, our purpose—safer, consistent, quality healthcare for all—drives everything we do. To accomplish this important work, we need to attract, engage, and retain a talented team by providing a compelling, equitable rewards package comprised of an inclusive culture, flexible work environment, learning and development opportunities, competitive pay that rewards high performance, and robust benefits that support health and financial wellness. Add to this package a supportive community of people who help each other not only do meaningful work, but learn, grow, and have fun while doing so, and you get an organization that has earned the Great Place to Work distinction multiple years in a row!​ The target wage range for this role is $26.00 - $31.00 per hour. Individual wage rates within this range are based on multiple factors including but not limited to skills, experiences, licensure, certifications, and other business and organizational considerations. Wage ranges are reviewed, at minimum, annually and all team members are eligible for performance-based wage rate increases annually. The Q-Centrix compensation plan is productivity and accuracy focused, therefore, actual compensation could be higher or lower than target, dependent upon the team member’s performance. In addition to our inclusive and innovative working environment and competitive pay, full-time* team members enjoy: - A fully remote work environment with flexible schedule and a generous Paid Time Off program with additional paid time for volunteering. - Robust benefits package including medical, vision, dental, health savings accounts, company paid short- and long-term disability, employee assistance program, paid parental leave, life insurance, accident insurance, and other voluntary benefit programs for employees and their eligible dependents. - 401(k) retirement plan with a company match. - Paid professional development hours and other supportive resources. *Team members who are committed to work 30 or more hours each week are considered full-time. Commitment to Diversity, Equity, Inclusion and Belonging: At Q-Centrix, we hire people who love learning, value innovation, and believe in our purpose of safer, consistent, quality health care for all. We applaud qualified applicants who are accountable and committed to producing quality work. As an Equal Opportunity Employer, we support and value diversity, dignity, and respect in our work environment, and are committed to creating an inclusive environment in which everyone can thrive. We employ people based on the needs of the business and the job, and their individual professional qualifications. Here’s what does not impact our employment decisions: race, religious creed, religion, color, sex, sexual orientation, pregnancy, parental status, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status, health, marital, civil union or domestic partnership status, or any status or characteristic protected by the laws or regulations in locations where we operate. If you are an individual with a qualified disability and you need an accommodation during the interview process, please reach out to your recruiter. Candidate Privacy Statements

• Drive AI Powered Product Innovation • Lead end to end product lifecycle from ideation through launch for AI and ML products • Develop compelling business cases by analyzing market opportunities and ROI projections for AI implementations • Oversee product strategy for large scale data migration projects across cloud platforms including AWS, Azure, and GCP • Guide data product development including ingestion pipelines, transformation layers, governance frameworks, and consumption APIs • Balance technical debt management with feature delivery, advocating for architectural improvements • Partner with client stakeholders, engineering teams, data architects, and ML engineers to deliver integrated solutions • Conduct design thinking workshops and user research sessions to validate product direction

Company Overview SiteOne Landscape Supply is the largest national distributor of landscaping products across the United States and Canada. As a leading supplier of wholesale goods for green industry professionals, we have a long history of serving those who design, build, and maintain outdoor spaces – from lawns and gardens to golf courses, sport fields and more. We pride ourselves on knowing our customers and their business better than anyone else and providing them with a one-stop shop of extensive inventory covering irrigation, lighting, turf and landscape maintenance, hardscapes, nursery, and pest control supplies. At SiteOne, we are passionate about delivering an outstanding customer experience and will stop at nothing to help our customers win. We know that our associates are the key to this success, and our commitment to the SiteOne DNA and support for our associates through development programs, benefits, and perks align with our vision to "Be a Great Place to Work for Our Associates". We foster a culture of safety, teamwork, and continuous improvement. With over 700 locations and exciting expansion ahead, now is the perfect time to join SiteOne and grow Stronger Together™! Position Overview We are seeking a skilled Acquisition Engineer specializing in data to support the integration of newly acquired stores into our organization. This role focuses on extracting, validating, and importing data from diverse systems to ensure smooth and accurate onboarding. What You'll Do: - Partner with newly acquired companies to understand their legacy systems, data structures, and business processes. - Work directly with acquired company personnel to extract required data from legacy platforms. - Transform extracted data into standard formats for downstream matching and import processes. - Maintain, support, and enhance SSIS packages that automate the import of data into our custom POS. - Troubleshoot data quality, transformation, ETL, and import issues across the acquisition integration lifecycle. - Perform data validation and reconciliation to ensure converted data is complete, accurate, and ready for import into internal POS and related systems. - Use Excel and SQL to review, cleanse, transform, and validate data during conversion activities. - Help identify opportunities to improve conversion quality, reduce manual work, and strengthen the scalability of the integration process as acquisition volume grows. - Design, build, and maintain ETL workflows using TSQL, SSIS, and related data integration tools. - Extract critical data from multiple systems and database platforms during acquisitions. - Collaborate with internal teams to run data matching processes and reconcile discrepancies. - Load validated datasets into internal systems while ensuring data quality, integrity, and auditability. - Partner directly with acquisition teams and internal stakeholders to provide technical data support. - Analyze existing datasets and workflows to optimize data intake and transformation processes. Skills We Are Seeking - Ability to work directly with acquired company teams and internal stakeholders to gather data, clarify business rules, and resolve issues. - Experience in data conversion, data migration, ETL development, system integration, or operational data support. - Strong Excel skills, including the ability to manipulate, cleanse, transform, review, and validate data. - Working knowledge of T-SQL for querying, validation, troubleshooting, and data transformation. - Strong analytical and problem-solving skills with attention to detail. - Ability to review data, identify anomalies, reconcile issues, and support accurate conversion outcomes. - Strong organizational skills and the ability to manage multiple acquisition integrations at the same time. - Strong communication skills and the ability to work effectively with both technical teams and non-technical business users. - Experience with gathering data such as Sales history, purchase order, receipts, Accounts receivable, etc. Customer, suppliers - Strong analytical and troubleshooting skills. - A willingness to learn and adapt in a fast‑paced environment. - Strong understanding of ETL principles, data transformation logic, and workflow dependencies. - Pulling data/reports from foreign ERP systems for import to SiteOne POS system - Proficiency with T‑SQL, stored procedures, and scripting for data manipulation. - Hands‑on experience with SSIS package development, deployment, and debugging. - Familiarity with networks, hardware, and software support. - Basic project management and task‑tracking abilities. - Excellent written and verbal communication skills. - Self‑starter with the ability to work independently and adapt quickly. - Experience with ERP systems like EpiCore, QuickBooks‑type applications (preferred but not required). - Advanced Excel proficiency (VLOOKUP, Pivot Tables, Power Query). Preferred - Familiarity with customer, product, supplier, purchase order, invoice, accounts receivable, and sales history data. - Experience with QuickBooks, Epicor, or similar ERP, or POS systems. - Familiarity with SSIS package support, maintenance, or development. Education & Experience - 4+ years of hands‑on T‑SQL experience (nice to have) - 2+ years of SSIS experience. (nice to have) - Bachelor’s degree or 4+ years of relevant professional experience. Compensation & Benefits: - Competitive Compensation - Medical, Dental and Vision plans - Paid Time Off, Paid Holidays - DailyPay available! - 401k with company match - Tuition Reimbursement - Lucrative Associate Referral Program - Company Apparel and Work Boot Vouchers - Opportunity for Advancement - Paid Training and Business Certifications Available - Free Counseling Services/Employee Assistance Program - Life Insurance and Short- and Long-Term Disability Insurance - Product Discounts - Most Branches never work Sundays! THE INFORMATION CONTAINED HEREIN IS NOT INTENDED TO BE AN EXHAUSTIVE LIST OF ALL RESPONSIBILITIES, DUTIES AND QUALIFICATIONS REQUIRED OF INDIVIDUALS PERFORMING THE JOB. THE QUALIFICATIONS DETAILED IN THIS JOB DESCRIPTION ARE NOT CONSIDERED THE MINIMUM REQUIREMENTS NECESSARY TO PERFORM THE JOB, BUT RATHER AS GUIDELINES. THEY MAY VARY FROM POSITION TO POSITION. SiteOne Landscape Supply is strongly committed to providing equal employment opportunities for all associates and all applicants for employment. All employment decisions at SiteOne-including those relating to hiring, promotion, transfers, benefits, compensation, placement, and termination-will be made without regard to race, color, national origin, genetic information, creed, sex, sexual orientation, gender, gender identity, religion, age, veteran status, uniform service, pregnancy, disability, or any other factor protected by applicable law. This position requires that candidates be authorized to work in the U.S. We are unable to provide sponsorship. If you are ever unsure whether a message is really from SiteOne, here’s how to protect yourself from recruiting scams: - SiteOne will never ask for payment, sensitive personal info, or documents over email, messaging apps., or interviews - All SiteOne job openings and updates will be posted on our official careers page: https://careers.siteone.com/ - SiteOne job related emails will be sent with a @siteone.com. All other variations are likely fraudulent. - You can always reach our SiteOne team directly at Recruiting@siteone.com to confirm Starting pay will depend on factors such as location and experience, and will always meet or exceed applicable state and local minimum wage laws.

Role Description This is a strategic and hands-on leadership role focused on shaping the future of a modern, cloud-native data and AI platform. You will define the architecture that powers large-scale data processing, advanced analytics, and machine learning capabilities. Working in a fast-growing, globally distributed environment, you will collaborate with cross-functional teams to solve complex data challenges and drive innovation. This role offers the opportunity to influence technical direction, design scalable systems, and enable data-driven decision-making at scale. It is ideal for someone who thrives at the intersection of architecture, engineering, and data science, and is passionate about building high-impact solutions. - Define and drive the technical vision for data architecture, ensuring scalability, performance, and long-term sustainability. - Design and implement large-scale data and machine learning systems capable of processing high volumes of real-time data. - Lead architectural decision-making processes, ensuring solutions are robust, future-proof, and aligned with business goals. - Build and optimize data pipelines, feature engineering workflows, and model deployment frameworks. - Collaborate with DevOps and engineering teams to ensure infrastructure supports efficient training and inference workloads. - Develop and evolve data models supporting analytics, predictive capabilities, and business growth. - Mentor and guide data scientists and engineers, promoting best practices in MLOps, system design, and statistical rigor. Qualifications - Degree in Computer Science, Engineering, Applied Mathematics, or a related STEM field, or equivalent practical experience. - 5+ years of experience across data engineering, data architecture, and data science roles. - Proven experience designing and deploying distributed data systems at scale. - Strong expertise in cloud platforms such as AWS, GCP, or Azure, and modern data tools like Snowflake, Databricks, or BigQuery. - Solid understanding of data modeling techniques, including relational, dimensional, and NoSQL approaches. - Hands-on experience with data pipeline and orchestration tools such as Airflow, dbt, Spark, or Kafka. - Advanced proficiency in Python and SQL, with experience using data science libraries (e.g., pandas, NumPy, scikit-learn). - Experience building, deploying, and maintaining machine learning models in production environments. - Familiarity with MLOps practices, data governance, security, and compliance standards. - Bonus: Experience with AI-driven systems, RAG pipelines, or usage-based billing models. Benefits - Competitive salary aligned with experience and expertise. - Fully remote work environment with flexible working arrangements. - Opportunities for career advancement and continuous professional development. - Exposure to cutting-edge technologies in data, AI, and cloud ecosystems. - Collaborative and inclusive work culture focused on innovation and growth. - Work-life balance support and flexible scheduling.