Job Summary Job Description We are seeking a strategic, detail-oriented, and execution‑ focused‑ Sr Analyst Data Governance HR Systems to support the integrity, security, and compliance of Medline’s HR platforms, including Workday and UKG. This role is responsible for establishing and operating governance controls related to HR data access, security, SOX compliance, and User Access Reviews (UARs) across HR systems. This is a critical role that partners closely with HR, HR Technology, IT, Audit, Risk, and Compliance teams to ensure HR data is protected, access is appropriately governed, and controls are consistently executed—while still enabling efficient HR operations and scalability. The ideal candidate has strong experience in access governance, audits, and compliance within enterprise SaaS systems, and the ability to balance strong controls with HR business needs. This role will be responsible for facilitating the effective execution of critical internal audits in partnership with IT, Audit, and external partners. Responsibilities: HR Systems Data Security & Access Governance - Define and maintain the HR systems access governance framework for platforms such as Workday and UKG, including policies, standards, and control requirements - Ensure role-‑based access standards, segregation of duties (SoD), and access provisioning principles for HR systems - Ensure consistent application of access controls across HR systems, integrations, and downstream consumers of HR data SOX, Risk & Compliance - Ensure HR systems comply with SOX access control requirements and internal audit standards - Own and execute User Access Reviews (UARs) for HR systems, including: - Manager and system owner attestations - Documentation and audit evidence - Partner with Internal Audit, Risk, Legal, and Compliance teams during audits and control testing - Identify access and data security risks and drive remediation plans with clear ownership and timelines Operating Model & Execution - Build and run a scalable HR access governance operating model, including: - Access request intake and approvals - Exception handling - Enforcement of controls - Develop metrics and reporting to track: - UAR completion and findings - Access control effectiveness - Audit readiness - Support HR systems–related audit activities and remediation efforts Stakeholder Engagement & Enablement - Serve as the primary point of accountability for HR systems data governance and access compliance - Influence HR leaders, HR Technology, and system owners to adopt secure-by‑-‑design access practices - Provide guidance, training, and awareness to HR and managers on access governance expectations and audit responsibilities Requirements: Education: - Bachelor’s degree in Information Systems, Information Technology, HR Technology, Data Management, or a related field Work Experience: - 4+ years of experience in IT, HR Technology, or systems governance roles, with significant experience in access governance, SOX, or audit support Knowledge / Skills / Abilities : - Proven experience designing and operating access controls and UAR processes in large, complex organizations - Hands‑on experience supporting SOX audits, access reviews, and compliance documentation - Strong communication, stakeholder management, and execution skills Preferred Requirements: - Experience with Workday security roles, business process security, and reporting access - Experience with UKG access models and timekeeping/payroll related‑ controls - Familiarity with HR data integrations and downstream system dependencies - Experience supporting audits in SaaS enterprise applications - Relevant certifications in security, governance, or compliance Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $92,000.00 - $138,000.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We’re dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here. Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Job Description: Role Title: AVP, Model Ops Engineer (L10) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. - We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. - We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. - We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth Role Summary/Purpose: The AVP, Model Ops Engineer is a role (Individual Contributor) within the India Analytics Hub (IAH), operating under the Decision Management vertical and is responsible for designing and building the data infrastructure, pipelines, and tooling required to support robust, scalable, and automated post-deployment monitoring of models. This role supports model performance tracking, alerting, backtesting, and audit readiness by integrating data from across the model lifecycle. The engineer collaborates closely with model developers, product managers, risk partners, and compliance teams to operationalize monitoring strategies aligned with model governance policies. Essential Responsibilities - Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes). - Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices. - Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs. - Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking. - Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance). - Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements. - Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts. - Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring - Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles. Required Skills & Knowledge - Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain. - Strong proficiency with data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, dbt, PySpark). - Proficient in programming languages such as SAS, Python, and SQL for building monitoring pipelines and validation checks. - Experience with cloud-based data infrastructure (e.g., AWS, Azure, GCP) and data warehousing (e.g., Snowflake, Redshift, BigQuery). - Familiarity with MLOps practices, model metadata tracking (e.g., MLflow), and monitoring toolkits (e.g., Evidently AI, Why Labs, Prometheus). - Understanding of model risk governance requirements and the role of data engineering in ensuring compliant model monitoring. - Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams. Desired Skills & Knowledge - Strong problem-solving skills and experience automating repetitive data monitoring tasks. - Attention to detail and commitment to maintaining high standards of data quality, integrity, and compliance. - Experience building alerting mechanisms and diagnostic logging for monitoring model behaviors. - Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences and collaborate across teams. - Exposure to explainability frameworks and the role of data in enhancing model transparency and interpretability. Eligibility Criteria: Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain. Work Timings: 2PM - 11PM IST This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs) We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR. Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events. For Internal Applicants: - Understand the criteria or mandatory skills required for the role, before applying - Inform your manager and HRM before applying for any role on Workday - Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) - Must not be any corrective action plan (Formal/Final Formal,LPP) - L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. - L08+ Employees can apply Grade/Level: 10 Job Family Group: Data Analytics

Job Description Collaboratively analyzes, reports on, and provides resolution to work queues. Serves as an interdepartmental liaison for workflow improvements and claim-edit resolutions. Analyzes, verifies, tracks and reports on department related databases and software. Job Responsibility - Reviews assigned work queues daily to ensure claims generate in a timely manner. - Resolves eligibility related pre-claim edits to decrease insurance denials. - Collaborates with team to identify drivers of volume fluctuations or issues in data quality that would impact reporting (i.e. duplicate records, missing data, etc.) - Communicates regularly with external teams for workflow improvements and edit resolutions. - Maintains trends and tracks various measures to identify possible areas for re-education. - Develops technical and functional specifications based on business requirements and analysis of workflows. - Operates under general guidance and work assignments are varied and require interpretation and independent decisions on course of action. - Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions. Job Qualification - Bachelor's Degree required, or equivalent combination of education and related experience. - 1-3 years of relevant experience, required. This position will be fully remote, Monday-Friday 8am-4pm. *Additional Salary Detail The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).

• Processing energy contracts of large global industrial and retail clients • Being an energy market specialist for France, Germany, Belgium and the Netherlands (no worries, we'll teach you all that you need to know!) • Quality checks - ad hoc and regular • Data processing using JSON file and Alteryx • Developing tailor-made reports/dashboards/graphs for our clients regarding their energy data portfolios • Supporting internal teams and the client with understanding and modifying the energy data