Auto-apply to these data entry jobs

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for an Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Analysis for Strategic Insights: Skilled in analyzing complex datasets to extract actionable insights, identify key trends and patterns, and provide data-driven recommendations that support and guide strategic decision-making. Data Storage & Processing: Extensive experience in designing, managing, and optimizing data storage solutions. Expertise in building and automating data pipelines for efficient data processing. AI-Driven Data Preparation: Experienced in leveraging AI and machine learning algorithms for automated data preparation, streamlining the transformation of raw data into high-quality, actionable insights. Skilled in using these techniques to create dynamic and interactive visualizations via Power BI, facilitating better decision-making and business intelligence. Natural Language Processing (NLP) & Large Language Models (LLM): Hands-on expertise in applying NLP techniques and LLMs to process and analyze unstructured data, generating insightful infographics and data-driven narratives. These methods help to uncover hidden patterns and deliver actionable insights for stakeholders in a visually compelling format. Pipeline Orchestration & Automation: Experienced in automating and orchestrating complex data pipelines using tools like Apache Airflow, Prefect, and Dagster to ensure seamless data flow and efficient workflows. Data Quality & Consistency: Proficient in establishing and enforcing validation rules to ensure data integrity, consistency, and high-quality standards throughout the data lifecycle. Incremental Data Loads: Skilled in implementing incremental data loading strategies to optimize data refresh cycles and minimize resource consumption. Event-Driven Automation: Implemented event-driven automation to ensure real-time and dynamic updates for dashboards, enhancing decision-making with live data. Low-Latency Data Processing: Ensured optimal performance and low-latency processing for delivering real-time, time-sensitive insights to stakeholders. Dashboard Optimization: Leveraged parameterized queries and other optimization techniques to enhance the performance and responsiveness of Power BI dashboards. Data Communication & Visualization: Proficient in presenting complex data findings to non-technical stakeholders through clear, visually compelling reports, interactive dashboards, and presentations that facilitate easy understanding and informed decision-making. Exploratory Data Analysis (EDA): Skilled in conducting thorough exploratory data analysis to assess data quality, uncover insights, and deepen understanding of data characteristics, ensuring data readiness for analysis and model building. Feature Engineering: Expertise in engineering relevant features from raw datasets to enhance model performance, improve predictive accuracy, and support the development of robust machine learning models. Qualifications Bachelor's Degree from an accredited institution with 7+ years of experience in a related role required; Master's degree preferred. In-depth knowledge of statistical analysis, machine learning algorithms, and data modeling techniques. Proficiency in programming languages such as Python or R, with hands-on experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Experience with data visualization tools (e.g., Tableau, matplotlib) for effectively communicating insights. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus. Strong problem-solving abilities, critical thinking, and the capacity to manage complex projects independently. Excellent communication and presentation skills, capable of translating complex concepts for both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Director, Data Scientist & Data Operations is from :196,800-258,300 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Boston, MA; Chicago, Il. About the Role WEX is transforming its enterprise data architecture to unlock trusted, scalable, and AI-ready data across all business domains. As part of this journey, we are hiring a Director of Engineering to lead the design, delivery, and governance of our unified ingestion framework-serving as the foundation of our Data-as-a-Service (DaaS) platform. This leader will be responsible for building and operating the platform layer that connects hundreds of data sources across internal systems and external partners into WEX's enterprise data ecosystem. You will lead a talented team of software engineers and collaborate closely with domain-aligned teams to standardize ingestion, streamline onboarding, and scale data operations with governance and observability built in. What You'll Do Own and scale WEX's enterprise data ingestion platform, ensuring reliability, reusability, and consistency across domains. Lead the unification of disparate ingestion pipelines into a governed, modular framework that accelerates data onboarding and reduces duplication. Drive the design and adoption of modern, scalable ingestion patterns-including event-driven, micro-batch, and streaming architectures-by applying strong software engineering principles such as modularity, reusability, and testability across the data acquisition lifecycle. Implement DataOps practices including pipeline observability, error handling, lineage tracking, validation, and secure data onboarding. Partner with stakeholders across product, engineering, and business teams to identify and prioritize high-value ingestion initiatives. Mentor and grow a high-performing team of data engineers, fostering a culture of ownership, scalability, and operational excellence What You Bring 10+ years of experience in scalable software and data engineering practice, with at least 3 years in a leadership or director-level role overseeing platform or ingestion teams in a mid-to-large enterprise. Proven track record of designing and scaling data acquisition systems that process high-volume, high-variety data from both internal systems and third-party sources. Experience architecting modular, metadata-driven ingestion frameworks capable of supporting hundreds of pipelines across business domains with varying data latencies (batch, micro-batch, streaming). Deep understanding of data ingestion patterns at scale, including change data capture (CDC), event-driven pipelines, file-based ingestion , API ingestion, and schema evolution. Experience leading teams that manage mission-critical pipelines with strong SLAs for data freshness, reliability, and security. Deep understanding of distributed data processing architectures, including orchestration, streaming, and table format abstraction-such as workflow scheduling, event-driven pipelines, and versioned data lakes. Demonstrated ability to implement DataOps principles, including observability, lineage, validation, access control, and audit logging. Strong cross-functional leadership skills, capable of aligning engineering, data, and business stakeholders around shared outcomes and delivery plans. A systems-thinking mindset with a passion for building platforms that are robust, extensible, and designed for reuse at scale. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $188,000.00 - $250,000.00

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Your impact on our mission We are looking for a Staff Data Engineer (SDE) to join our Data Engineering team! In this role, you will design, build, and optimize scalable data systems that empower decision-making and innovation at Zocdoc. You'll collaborate with cross-functional teams to manage data pipelines, strengthen governance, and improve the tools and processes that help data producers and consumers work together effectively. This role leads our specialized Data Infrastructure group, which is responsible for building, maintaining, and optimizing the platforms that power data workflows across the company. You'll focus on the underlying infrastructure that supports analytics, experimentation, and machine learning-ensuring it runs efficiently, securely, and cost-effectively to improve the healthcare experience for patients and providers. You'll enjoy this role if you are… Passionate about the inner workings of data platforms and infrastructure Excited to tackle both technical and strategic challenges to build reliable, scalable systems Motivated to create high-leverage tools that power analytics and data science Energized by the opportunity to build tools and processes that directly improve patient and provider experiences through better data Autonomous, proactive, and eager to solve complex problems with practical, scalable solutions Your day to day is… Designing and maintaining scalable data pipelines for ingestion, transformation, and delivery across multiple data sources Collaborating with Analytics Engineers and Product teams to curate datasets and establish data contracts that improve transparency and reliability Developing and managing modern data architectures, such as lakehouses and medallion layers, using tools like Databricks, Delta Lake, or Iceberg Optimizing Snowflake usage and performance, ensuring data quality and cost efficiency Supporting and scaling orchestration platforms (like Dagster), metadata systems (like Unity Catalog or Collibra), and monitoring tools (like Datadog) Collaborating with data engineering, analytics engineering, and security teams to deliver stable and efficient infrastructure for diverse workflows Building tools, alerting systems, and documentation that ensure reliable operation and developer self-service across our data stack You'll be successful in this role if you have… 5+ years of experience in data engineering or platform/infrastructure roles, with a focus on scaling tools and systems Expertise in Python or Scala, and strong proficiency in SQL for data modeling and optimization Deep experience with data warehouse technologies like Snowflake, including clustering, performance tuning, query profiling, and access management Experience with data lake and lakehouse architectures such as Databricks, Delta Lake, Iceberg, or Apache Hudi, and query engines like Athena or Presto Proven ability to design and implement scalable ETL pipelines using technologies like dbt for transformation and Databricks for large-scale processing Familiarity with managing infrastructure-as-code, job orchestration (Dagster, Airflow), and CI/CD workflows A proactive mindset and strong problem-solving skills, especially when troubleshooting complex infrastructure issues Excellent collaboration and communication skills to support cross-functional teams and data consumers Bonus if you have… Experience implementing row-level security and data masking for PHI/PII use cases Exposure to governance tools (e.g., Collibra, Amplitude, Looker admin, Unity Catalog) Familiarity with AWS services, especially for storage and compute cost optimization Benefits: Flexible, hybrid work environment at our convenient Soho location Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) Commuter Benefits 401(k) with employer funded match Corporate wellness programs with Headspace and Peloton Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Catered lunch everyday along with beverages and snacks Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description Brings to the data governance team Data as a Product in service to Data Governance as a Service mindset. This role will initially support our Electronic Payment Services partners in understanding and translating critical data definitions into usable Metric, Transformation, and Metadata catalogue supports. Candidate will partner both internally within the Business Insights & Performance team, and likewise across Operations within a Shared Services Organization supporting Lines of Business, Risk/Compliance professionals, technology, and business line leaders to support and maintain data governance practices and processes within Operations as it relates to data, analytics and reporting. Through knowledgeable application of Business Intelligence (BI) Visualization tools, and data implementation approaches which support requirements gathering and understanding Metrics to Metadata lineage support across Data Engineering Teams, Reporting & Analytics Teams, Compliance Teams, Risk Partners, and will leverage Enterprise Data Governance tools! SPECIFICATIONS: A senior individual who works independently under minimal supervision and operates in a capability focused matrixed organization. Strong technical/functional understanding of internal and vendor supported systems, with complex data backend systems leveraging Oracle SQL, Microsoft SQL, and IBM SQL to understand technical and business metadata & metrics. Candidate will have demonstrated self-driven continuous improvement mindset and strategically assesses business needs and recommends approaches for both short-term success and long-term success across on-premise and cloud solutions. Strong background in data analytics with excellent problem-solving skills. Communicates strongly across Risk, Technical and Business partners. Strong risk documentation skills and the ability to hold teams accountable for sustaining data governance in the work that they do. This role does not support visa sponsorship. The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days at one of the following locations: Tempe, AZ Irving, TX St. Paul, MN Gresham, OR Cincinnati, OH Basic Qualifications Bachelor's degree, or equivalent work experience Four to five years of experience in data governance activities Preferred Skills/Experience Advanced project management/business analysis knowledge and familiarity with the business line processes and/or applications Advanced understanding of Data Governance principles Thorough knowledge of data architecture concepts and data governance tooling Strong analytical and problem-solving skills Strong verbal and written communication skills If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $98,175.00 - $115,500.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description NOTE: This position is not eligible for visa sponsorship. Skilled data analyst that can identify issues, work with large data sets, and prescribe appropriate solutions. Experienced with data batch processing, Informatica/Spark (ETL), writing data specifications and data mapping, and performing data validation. Strong understanding of complex data pipelines with knowledge of banking transactions and foreign/domestic payments. Passionate about solving problems. Partners closely with customers (internal and external), the business line(s) and Agile teams to drive the evolution of data as a product. Experience in designing and implementing data pipelines that deliver accurate, timely, and reliable data. Maintains and refines product backlog; creates user stories and acceptance criteria and prioritizes all stories to ensure work focuses on those with maximum business value that aligns with product strategy. Work closely in a hands-on style with development team including addressing daily prioritization needs, providing real-time feedback and answering questions on an ongoing basis. Works with Product Management to set release dates, determine when sufficient value has been delivered to release to market, understand tradeoffs between schedule, scope and budget and communicates this information to the organization. Basic Qualifications Bachelor's degree in related field or related work experience Typically more than eight years of applicable experience Preferred Skills/Experience Subject matter expertise in the AML transaction monitoring or similar domain (e.g. Fraud, KYC, Payments) Demonstrated leadership and interpersonal skills including ability to collaborate with and empower teams Skilled in performing data analysis and prescribing solutions to data problems. Knowledge of payments, wires and data mapping. Expert at coordinating and performing data testing and validation. Knowledge of AML TM and regulatory expectations on data quality and controls. Programming and writing queries on large data sets using SQL. Highly technical with strong understanding of data transformation. Strong presentation, interpersonal, written and verbal communication skills Proficient computer navigation skills using a variety of software packages, including Microsoft Office applications and word processing, spreadsheets, databases, and presentations Experience using agile delivery tools such as Jira and/or Version One Basic knowledge of applicable laws, regulations, financial services, and regulatory trends that impact their assigned line of business Well-developed ability to collaboratively develop and evolve a product backlog Well-developed ability to develop and articulate a product vision that supports outcomes, value and prioritization of work Thorough understanding of the Lean/Agile mindset NOTE: This role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. NOTE: This position is not eligible for visa sponsorship. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $111,605.00 - $131,300.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

The Senior Data Engineer, Data Platforms is a pivotal role on our Data Team - with broad responsibility. You're not just managing data; you're pioneering the very platforms that underpin our data and analytics engineering pursuits across the company's extensive landscape. You will own state-of-the-art big data platforms that power the Global Partners data stack -- with your work standing as the backbone supporting all data-centric innovations. You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence. Your vast experience, extending from data storage best practices to continuously assessing and integrating new technologies, ensures that Global Partners stays ahead of the curve. You are a problem solver and an automation enthusiast who will be responsible for deploying robust solution for data engineering and data platform management. At the heart of it all, you're not just an engineer; you see the art in orchestrating data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data- Join us. Global Partners offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence. For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner's integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in the energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work. We're excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We're looking for passionate people with great ideas to contribute to our company's future. If you're motivated by what's next, Global Partners can provide you the opportunities to push your career to the next level. The Types of "Energy" You Bring Excellent written and verbal communication skills. You are self-motivated and like to take initiative. You are a team player with a positive attitude. You have strong time management skills. "Gauges" of Responsibility Architect and implement scalable, cloud-native data platforms that serve as the foundation for all data engineering initiatives across the organization, utilizing technologies such as AWS, GCP, or Azure, Python, Docker, Kubernetes Automate deployment (CI/CD) pipelines for data infrastructure and applications, leveraging tools like Jenkins, GitLab CI, GitHub Actions to ensure rapid, reliable deployments. Implement Infrastructure as Code (IaC) practices using tools such as Terraform or CloudFormation to manage and version control cloud resources. Develop and maintain robust data orchestration workflows using modern tools like Apache Airflow, Dagster, or Prefect, ensuring efficient data processing and transformation. Develop automated solutions and self-service platforms to enable efficient onboarding of developers to efficiently set up, configure, and monitor their data environments. Optimize data storage and processing systems, including data lakes and data warehouses (e.g., Snowflake, BigQuery, Redshift), to ensure cost-effectiveness and performance at scale. Implement observability and monitoring solutions for data pipelines and infrastructure using tools like Prometheus, Grafana, or DataDog to ensure system reliability and performance. Lead the adoption of DataOps practices, fostering collaboration between data engineering, data science, and operations teams to streamline the entire data lifecycle. "Fuel" for You Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development. Health + Wellness- Medical, Dental, Visions and Life Insurance. Along with additional wellness support. The Road Ahead- We offer 401k and a match component! Professional Development- We provide tuition reimbursement; this benefit is offered after 6 months of service. Give Back! We believe in community support. We know everyone gives in their own way, that's why we offer paid volunteer time-off to you to help an organization of your choice. The GPS of our Interview Process First thing first, if you're interested in the role, please apply. A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact you. We conduct in-person and virtual interviews. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience in Data Engineering, DataOps, MLOps, Software Engineering with a minimum of 5 years' experience or 7 years' experience, in lieu of an applicable degree. Strong proficiency in designing and implementing scalable, cloud-native (containerized) data platforms using Infrastructure as Code (e.g., Terraform, Docker, Kubernetes). Advanced programming skills in Python focusing on data-intensive applications. Strong SQL proficiency and experience with cloud data warehouses (e.g., Snowflake, BigQuery) required Proven track record in designing and implementing CI/CD pipelines for data infrastructure and applications, using tools like Jenkins, GitLab CI, or GitHub Actions In-depth knowledge of big data technologies (e.g., Apache Spark, Kafka) and data orchestration tools (e.g., Apache Airflow, Dagster). Experience with data transformation frameworks like dbt and ETL/ELT processes in cloud environments Strong background in data security, governance, and metadata management. Experience implementing IAM/RBAC policies, encryption, and data access controls in cloud environments. Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana, ELK stack). Familiarity with serverless architectures is a plus. Ability to design and develop automated tools and self-service platforms enabling efficient data environment setup and management for data scientists and analyst. Experience in optimizing data storage and processing systems for cost-effectiveness and performance at scale. Familiarity with MLOps and integrating ML models into production. Exceptional team player with strong communication skills, ability to work with cross-functional teams, and a willingness to mentor and share knowledge. Proficiency in modern Agile development methodologies, coupled with excellent problem-solving abilities and a metrics-first mindset. We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-891-4000. Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Impact Lives, Impact Community Family Health Centers of San Diego (FHCSD) is passionate about providing exceptional health care to all, especially underserved communities with limited health care options. Founded by a Latina grandmother/community advocate over 50 years ago in Barrio Logan, FHCSD has grown into one of the largest community health systems in the country. With over 90 sites, over 227,000 patients, and over 1.1 million healthcare visits last year, we provide a wide variety of health care and outreach services to a very diverse patient population. We are proud of our mission, our lasting community impact, and the cultural and individual diversity of our staff. Data Analysts within the Data Office at Family Health Centers of San Diego are dedicated to ensuring that data quality, data integrity, and data security align to support the many decision-making processes across the organization. By skillfully querying thousands of relational databases containing medical information, billing information, patient feedback, and more, these technical experts can monitor trends, illuminate patterns, and make predictions, ultimately shaping the future of healthcare delivered to our patients. Whether they are working to optimize operational efficiency, or to evaluate adherence to clinical quality guidelines, or to improve patient experiences, Data Analysts serve as the bridge between raw data and actionable insights. Their work ensures that the organization's decisions are evidence-based and rooted in clear, data-driven logic. Data Analysts require a unique combination of technical skills from the fields of information technology, computer and data science, and healthcare. The Data Analyst III within the Data Office provides support for the decision-making processes of Family Health Centers of San Diego through the creation of standard and ad-hoc reports of organization data. This senior level role requires interviewing end users, making changes in production-level applications, and documenting processes with a focus on continuous improvement. EXPERIENCED (LEVEL 3): Experienced professional who knows how to apply theory and put it into practice with in-depth understanding of the professional field; independently performs the full range of responsibilities within the function; possesses broad job knowledge; analyzes problems/issues of diverse scope and determines solutions. Job Roles Independently and accurately estimates time to create new reports Fine-tunes SQL Server queries Create scripts using PowerShell Creates reports using a variety of applications (e.g., Microsoft Excel, PowerBI, R) that require specific programming skills Creates accurate reports that are audience appropriate. Automates reports based on end-user needs and timelines through use of SSRS/Reporting Services or Scripts Modify the organization's production-level applications in order to optimize reporting capabilities Uses interviewing skills to get requirements from end users; coaches lower-level staff on effective interviewing skills Documents efficient processes, with a focus on continuous process improvement Performs other duties as assigned Education/Certifications/Licenses/Registrations Bachelor's degree in Computer Science, Information Systems, or closely related field required Completion of courses in information systems, computer science, relational databases, data management, and/or statistics Microsoft Certification MS SQL preferred Or equivalent combination of education and experience that provides the skills, knowledge and ability to perform the essential job duties, and which meets any required state or federal certification requirements Experience/Specialized skills (including Language) 9+ years of experience using SQL Server 9+ years of experience creating reports using a variety of applications (e.g., Microsoft Excel, PowerBI, R) that require specific programming skills Experience with a web-based acquisition tool and ETL processes preferred Advanced knowledge of SQL Server to query databases and manipulate data Advanced knowledge of the organization's relational database architecture Intermediate knowledge of statistical principles and methods to describe data Critical thinking; ability to approach problems logically and formulate solutions Attention to detail; ability to approach tasks with a high level of accuracy Advanced organizational skills including time-management skills, and strong motivation to meet deadlines and achieve goals Communication skills; ability to communicate requirements and results effectively to end-users through non-technical terms Ability to work well in both a team-based environment and independently Knowledge of applicable data privacy practices and laws In the spirit of pay transparency, we are excited to share the base range for this position, exclusive of fringe benefits. 68,640.00 - 93,575.25 If you are hired at Family Health Centers of San Diego, your final base salary compensation will be determined based on factors such as geographic location, jurisdictional requirements, skills, education, and/or experience. In addition to these factors - we believe in the importance of pay equity and consider internal equity of our current team members as a part of any final offer. Please keep in mind that the range mentioned above is what we reasonably expect to pay for the role. Hiring at the maximum of the range would not be typical in order to allow for future and continued salary growth. We also offer a generous compensation and benefits package (more information on our benefits offerings is available here: FHCSD Wellness - Employee Hub (gobenefits.net)

The Data Security Architect will be responsible for designing, implementing, and maintaining security services that support our business. You will understand data and automation are important ingredients to our mission and know how to actively employ these ingredients at scale. Beyond the technical expertise, we value individuals who can partner cross-functionally across various teams, driving impactful outcomes and further securing our digital landscape. Primary Duties: Lead the development, implementation, and ongoing maintenance of comprehensive security strategies and solutions. Design and deploy advanced security controls to safeguards networks, systems, and applications. Work across disciplines to shape our security services strategy and execution. Mentor and galvanize new engineers to do their best work. Set and uphold the standard for security processes to support high-quality engineering. Minimum Qualifications: BS/BTech (or higher) in Computer Science, Information Technology, Cybersecurity or a related field, 10 years security domain experience without degree 8+ years of experience in securing and deploying applications within Cloud Native environments 5+ years of experience in a dedicated data security role with focus on establishing secure data management and governance processes. Preferred Knowledge, Skills and/or Experience: Knowledge of health-tech systems, like Electronic Health Records, Clinical data, PHI, etc, direct experience preferred. Experience in designing and implementing Data Security Controls in multi-cloud and hybrid environments. Extensive experience identifying, evaluating and triaging data protection related events with DLP, DSPM methodologies and tools. Experience implementing and maintaining data protection tools ensuring optimal configuration and performance. Experience with managing policies for data loss prevention (DLP) and detection, including scanning and identifying sensitive data across systems. Proficient in conducting data discovery and classification initiatives, ensuring sensitive information is adequately protected. Experience working with tools such as Forcepoint DLP, Symantec DLP, Zscaler, Netskope CASB, DSPM tools such as Cyera, Laminar, BigID etc. Certifications such as Security+, CISSP etc. preferred. 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value Experience with health-tech systems, like Electronic Health Records, Clinical data, etc preferred. Who We Are: Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission. In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the overall well-being of our team members: Flexible work schedules and the ability to work remotely are available for many roles Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners Robust time-off plan (21 days of PTO in your first year) Two paid volunteer days and 11 paid holidays 12 weeks paid parental leave for all new parents Six weeks paid sabbatical after six years of service Educational Assistant Program and Clinical Employee Reimbursement Program 401(k) with up to 4% match Stock options And much more! At Aledade, we don't just accept differences, we celebrate them! We strive to attract, develop and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation. Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants

Description Summary Our Enterprise Data Governance team is growing, and we're looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes pertaining to data use and reporting. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead supports enterprise data governance capabilities and partners across the bank developing documentation of policies and processes related to data use, reporting and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, leading and documenting meetings with stakeholders across the enterprise involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics and reporting teams as we develop data solutions to better serve our customers, support our communities, and make our colleagues' lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Primary Duties and Responsibilities: Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Lead process walkthroughs with business and technical stakeholders to understand and validate regulatory reporting production processes and related data supply chains Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead the design and enablement of technology and processes upon which the data rules are enforced. Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications: Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Ability to constructively challenge requirements and current state to increase overall value to the organization High level of organization and attention to detail Strong critical thinking and creative problem-solving skills Effective communicator (written and verbal) Self-starter attitude with the ability to work independently and as part of cross-functional teams Prior experience with regulatory reporting, auditing, risk management, and/or data management at a large financial institution Experience in strategy, process improvement, management consulting is a plus Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Us: How many companies can say they’ve been in business for over 177 years?! Here at ZEISS, we certainly can! As the pioneers of science, ZEISS handles ever-changing environments in a fast-paced world, meeting it with cutting edge of technologies and continuous advancements. ZEISS believes that innovation and technology are the key to a sustainable future and solutions for global change. We have a diverse range of portfolios throughout the ZEISS family in segments like Industrial Quality & Research, Medical Technology, Consumer Markets and Semiconductor Manufacturing Technology. We are a global company with over 42,000 employees and have over 4,000 in the US and Canada alone! Make a difference, come join the team! Location/Region: This position is located in White Plains, NY, Wixom, Michigan or Maple Grove, Minnesota or Hebron, Kentucky. What’s the role? As a Head of Data Privacy Americas / Regional Director Data Privacy, you get to work with an astonishing team that plays a vital role in Zeiss Share Services. Show case your skills and experience with process enhancement. The Regional Director, Data Privacy will oversee the regional operational management of the North America data privacy framework, applicable policies and procedures, and the related governance operating model. The role will work closely and collaboratively with the local Data Privacy Coordinators, Corporate Data Privacy Office, Corporate Counsel, and other stakeholders. This position reports to the Head of Compliance & Legal Affairs, with functional alignment with the Head of Corporate Data Privacy . Sound Interesting? Here’s what you’ll do: Act as primary subject matter expert and resource on issues related to data privacy. Provide guidance and training to internal teams on privacy matters that affect the company’s products, customers, and our customers’ patients. Lead the North America Privacy Program as part of the ZEISS Data Privacy Framework and work in conjunction with local Data Privacy Coordinators, legal and other relevant colleagues to review products, vendors, agreements, and initiatives, to advise on privacy/data security, consumer protection, patient privacy, and other related matters in accordance with HIPAA, CCPA, FTC principles, and other applicable international, federal, and state requirements. Support internal counsel in key privacy risk management activities including but not limited to: policy drafting and review, risk and control definition, coordination of recurring audit activities, and providing day-to-day “on-call” support for high-priority privacy-related matters. Communicates detailed regulatory requirements to the businesses, the Information Security Office, Internal Audit, as well as other members of the Corporate Data Privacy Office. Primary point of contact and coordinator for internal and external data privacy inquiries concerning North America, e.g., ZEISS internal inquiries, customer-related inquiries, audit responses, or possible privacy-related disputes. Governance of incident response, issue management, and training content development and coordination with key stakeholders as necessary to effect forensic investigations, crisis management activities, notifications to affected individuals, interaction with customers or vendors, responding to federal and state regulatory inquiries and litigation-related inquiries. Serve as Data Privacy Coordinator for Carl Zeiss, Inc. Do you qualify? 10+ years of relevant work experience, including hands-on management and proven contribution at both strategic and operational levels. Deep understanding of complex data privacy laws and principles, including HIPAA, GDPR, and CCPA. Expertise in triaging privacy-related questions and issue spotting. IAPP certification required. JD from an accredited law school or similar degree preferred. Excellent written, verbal, and social communication skills. Strong work ethic and sense of accountability and integrity. Solid team success orientation and ability to work both independently and collaboratively with diverse teams across the organization. Self-starter, with a demonstrated ability to identify issues, resolve problems and drive projects to completion. Demonstrated capacity to work independently. Trustworthy, positive, energetic, optimistic attitude with a willingness to work directly to achieve goals. A creative problem solver who is eager to learn about new ideas and concepts. We have amazing benefits to support you as an employee at ZEISS! Medical Vision Dental 401k Matching Employee Assistance Programs Vacation and sick pay The list goes on! The annual pay range for this position is $170,000 – $190,000 The pay offered for this role may be influenced by factors such as job location, scope of role, qualifications, education, experience, & complexity/specialization/scarcity of talent. This position is also eligible for a performance bonus or sales commissions. ZEISS also offers robust benefits, including medical plans, retirement savings plan and paid time off. Zeiss is an Equal Opportunity Employer. Your ZEISS Recruiting Team: Jo Anne Mittelman Zeiss provides Equal Employment Opportunity without unlawful regard to an Applicants race, color, religion, creed, sex, gender, marital status, age, national origin or ancestry, physical or mental disability, medical condition, military or veteran status, citizen status, sexual orientation, pregnancy (includes childbirth, breastfeeding or related medical condition), genetic predisposition, carrier status, gender expression or identity, including transgender identity, or any other class or characteristic protected by federal, state, or local law of the employee (or the people with whom the employee associates, including relatives and friends).

Senior Staff Engineer, Data Security- Nutanix Data Lens Hungry, Humble, Honest, with Heart. The Opportunity This is a high-visibility opportunity to join Nutanix's Unified Storage Group as the in Nutanix Data Lens (NDL). In this role, you’ll lead strategic product innovation and development of next-generation data management, security, and compliance solutions. You will architect and guide the evolution of critical security features including ransomware protection, data classification, and anomaly detection. This position offers significant career growth potential, providing the chance to expand influence across the entire Nutanix HCI portfolio and shape enterprise-grade data security strategies leveraging cloud, Kubernetes, and advanced analytics. About the Team The Nutanix Unified Storage Group is dedicated to pioneering advanced data management, security, and compliance solutions to empower enterprises in navigating complex storage ecosystems. The Data Lens team is a dynamic, globally-distributed group, passionate about leveraging cloud-native technologies, containers, and AI-driven analytics to deliver transformative solutions that protect and optimize enterprise data assets. Under leadership recognized for collaborative innovation and a bias for action, team members thrive in a culture of ownership, technical excellence, and mutual support. Your Role Lead architecture, design, and innovation of critical data security solutions including ransomware protection, data classification, and anomaly detection for Nutanix Data Lens. Collaborate directly with product management, customers, and engineering teams to deliver scalable, customer-driven security products and features. Provide hands-on technical leadership, mentoring junior engineers and accelerating development processes to enhance product performance and market readiness. Engage cross-functionally to ensure alignment with broader Nutanix product ecosystems and drive a strategic roadmap for unified HCI-wide data security solutions. What You Will Bring Bachelor’s or Master’s degree in Computer Science or a related technical discipline. 12+ years of proven experience in product engineering and architecture, specifically within data security domains (ransomware protection, data classification, anomaly detection). Demonstrated success developing scalable, enterprise-grade software products, deployed and utilized by multiple enterprise customers. Hands-on programming and software development skills in Golang and Python within Linux-based environments. Deep expertise in cloud services, containerization (Kubernetes), and microservices architecture. Solid understanding of public cloud platforms and associated service ecosystems. Proven track record mentoring technical teams and leading complex projects with multiple stakeholders across product management and customer success teams. Work Arrangement On Site: This role is based on-site, offering the opportunity to collaborate face-to-face with team members in a dynamic and engaging work environment. Being physically present allows for seamless teamwork and direct access to resources that support your success. Additional team-specific guidance and norms will be provided by your manager. The pay range for this position at commencement of employment is expected to be between USD $ 182,400 and USD $ 364,800 per year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith. --

Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions. At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements: Hybrid People Leaders: must reside in AZ, required to be onsite at least once per week Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month Onsite: daily onsite requirement based on the essential functions of the job Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per month. This position is hybrid within the state of AZ only. This hybrid work opportunity requires residency, and work to be performed, within the State of Arizona. PURPOSE OF THE JOB Designs and implements business intelligence and extract, transform, and load (ETL) solutions using programming, performance tuning, data modeling. Creates databases optimized for performance, implementing schema changes, and maintaining data architecture standards across all of the business’s databases. Serves as a liaison between the Database Administration department and development teams. REQUIRED QUALIFICATIONS Required Work Experience 4 years of experience in computer programming, query design, and databases 6 years of experience in computer programming, query design, and databases (Senior level) Required Education High-School Diploma or GED in general field of study Required Licenses N/A Required Certifications N/A PREFERRED QUALIFICATIONS Preferred Work Experience 4+ years of experience building and managing complex Data Integration solutions. 4+ years of experience in computer programming, query design, and databases 4+ years of experience Database administration with SQL Server 6+ years of experience building and managing complex Data Integration solutions (Senior) 6+ years of experience in computer programming, query design, and databases (Senior) 6+ years of experience Database administration with SQL Server (Senior) Preferred Education Bachelor’s Degree in Information Technology or related field preferred Master’s Degree in Information Technology or related field (Senior) Preferred Licenses N/A Preferred Certifications MS SQL Certification or other certification in current programming languages ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES Data Engineer – Performs job functions with general supervision and peer review Learn area’s direct flow; and how it affects surrounding systems and operational areas. Architect, design, construct, test, tune, deploy, and support Data Integration solutions for various data management systems. Contribute to the team’s knowledge base with useful information such as adopted standards, procedure documentation, problem resolution advice, etc. Participate in the promotion of SQL Server best practices Collaborate with other technology teams and architects to define and develop solutions. Research and experiment with emerging Data Integration technologies and tools. Work with the team to establish and reinforce disciplined software development, processes, standards, and error recovery procedures are deployed; ensuring a high degree of data quality. Support Enterprise database clustering, mirroring, replication among other SQL Server technologies. Develop, write and implement processing requirements and post implementation review Facilitate and/or create new procedures and processes that support advancing technologies or capabilities Design & Implement Extract, Transform, and Load (ETL) solutions utilizing SSIS Apply data mining rules Create logic, system, and program flows for complex systems, including interfaces and metadata Write and execute unit test plans. Track and resolve any processing issues. Implement and maintain operational and disaster-recovery procedures. Participate in the review of code and/or systems for proper design standards, content and functionality. Participate in all aspects of the Software Development Life Cycle Analyze files and map data from one system to another Adhere to established source control versioning policies and procedures Meet timeliness and accuracy goals. Communicate status of work assignments to stakeholders and management. Responsible for technical and production support documentation in accordance with department standards and industry best practices. Maintain current knowledge on new developments in technology-related industries Participate in corporate quality and data governance programs The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements. Senior - Performs job functions with minimal supervision in a Lead capacity Research, analyze, track and resolve complex production problems. Build, support, and maintain complex processes, programs, and data. Evaluate high-level project information and assess project components to forecast work effort required. Provide peer-level review and mentoring to peers. Participate and/or lead complex technical projects. Act as a subject matter expert in two or more of areas as assigned: BI Production Reporting Database Architecture Database Architecture and Support Training Act as primary operational contact for internal and external customers when needed or in the absence of manager. Ensure Service Level Agreements between department and operational or technical areas are met. Lead, develop and mentor staff by providing opportunities for growth through delegation, training, and assignment to various project teams. Inform manager of any issues impacting the efficient and effective performance of the department including system, resource, and informational barriers; Provide timely feedback to team member on performance. Assist the manager in the day-to-day operations of the department. ALL LEVELS Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels. Maintain current on new developments in technology-related industries. Participate in corporate quality and data governance programs. Participate in on-call rotation. Perform all other duties as assigned. The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements. Participate in on-call rotation. REQUIRED COMPETENCIES Required Job Skills (Applies to All Levels) Intermediate skill in use of office equipment, including copiers, fax machines, scanner and telephones Intermediate PC proficiency in spreadsheet, database and word processing software Advanced knowledge of business intelligence, programming, and data analysis software Intermediate knowledge of Microsoft SQL databases and database administration Intermediate proficiency in T-SQL, NZ-SQL, PostgreSQL, NoSQL, Hadoop, data tuning, enterprise data modeling and schema change management. Working technical knowledge of current software protocols and Internet standards to the extent that they apply to database administration. Excellent database troubleshooting skills Working technical knowledge of PowerShell. Strong object-oriented design and analysis skills Experience consuming, organizing and analyzing JSON and XML messages as data Required Professional Competencies (Applies to All Levels) Knowledge of agile development practices Strong analytical skills to support independent and effective decisions Ability to prioritize tasks and work with multiple priorities, sometimes under limited time constraints. Perserverance in the face of resistance or setbacks. Effective interpersonal skills and ability to maintain positive working relationship with others. Verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Systems research and analysis. Ability to write and present business intelligence documentation Demonstrate the ability to stay current on global threats and vulnerabilities. Maintain confidentiality and privacy Required Leadership Experience and Competencies Build synergy with a diverse team in an ever-changing environment Facilitate and resolve customer requests and inquiries for all levels of management within the Corporation (Senior only) Participation in one or more groups that aids in setting/enforcing standards and/or providing educational opportunities across the IT organization. (Senior only) PREFERRED COMPETENCIES Preferred Job Skills (Applies to All Levels) Knowledge of HIPAA regulations Advanced proficiency in spreadsheet, SQL queries, database, flow charting, and word processing software Advanced knowledge of data mapping techniques Advanced knowledge of computer operating systems Advanced knowledge of decision support systems Advanced knowledge of programming, database systems, and data management. Advanced knowledge of decision support systems Advanced knowledge of Business Objects Preferred Professional Competencies (Applies to All Levels) Advanced systems research and analysis expertise Impeccable project management skills Solid technical ability and problem-solving skills Knowledge of internal departments and operations Strong technical documentation skills and a strong ability to translate technical concepts so that they are easily understood by laypersons Preferred Leadership Experience and Competencies (Applies to Senior level) Ability to provide mentoring and peer review to junior team members Ability to build lesson plans and deliver lessons to junior team members Our Commitment AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group. Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.