49 jobs found

Job Description Job Description Strength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down-it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI Ready Governance Platform , unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Strength in Trust Our goal at OneTrust is to bring the power of trust to companies all over the world. Using cutting-edge technology and a real-world approach to ethics, compliance, privacy, security, ethics, ESG, and third-party risk, we've created a no-nonsense platform to help supercharge the global push for trust. The Challenge We're looking for a Support Analyst to join the GCS (Global Customer Support) team. In this role, you will provide ongoing technical support, troubleshooting and propose pragmatic solutions for OneTrust customers. This position requires a confident individual with excellent verbal and written communication skills, advanced troubleshooting skills and an ability to operate in escalated and high-pressure situations. You will be required to develop deep understanding of the OneTrust platform and Collaborate across OneTrust teams, including with our product teams, to troubleshoot issues, identify root causes, and provide solutions. Your Mission Take support cases from the Level 2 or 3 support queue (as appropriate) and work with the customer to troubleshoot and resolve the issue. Actively and autonomously manage a varied workload of customer support cases, keeping customers regularly updated on progress. Collaborate across OneTrust, including with our product teams, to troubleshoot issues, identify root causes, and provide solutions. Continue to develop and maintain deep knowledge of specific areas of the OneTrust platform (and supporting technologies) by attending office hours, completing regular release training, etc. Build privacy industry expertise, including maintaining CIPP/E / CIPM certifications. Contribute more broadly to the OneTrust support community, including creating knowledge articles and process improvements. Work independently to manage your time and commitments while meeting agreed performance. You Are Excellent with your oral and written communication skills. Eager to learn and quick to pick up new skills. Able to work independently while still contributing to a team. You are a hardworking and determined individual focused on providing a great customer experience while building rapport. You're an independent worker who can solve complex customer problems in a creative manner. Excited to find creative solutions to complex customer problems. Able to manage and prioritize a varied workload while meeting SLAs and deadlines. Focused on quality and attention to detail. Dedicated to providing a great experience and able to build a rapport with customers. Your Experience Includes Degree, higher education qualification or 3-5 years' work experience in a similar role Either demonstrated experience working with the OneTrust Privacy platform, or relevant technical skills e.g. web/mobile development stack (HTML, CSS, Javascript, React), APIs/integrations Ability to learn rapidly, and master the OneTrust Privacy platform Complex analytical problem-solving skills Continuous improvement mindset and ability to contribute to process improvement. Highly developed written and verbal communication skills, with ability to effectively communicate complex information in accessible language via phone, video and e-mail Ability to work with and troubleshoot complex, web-based software suites Working knowledge of development processes, different operating systems, browsers, and programming languages. Flexible attitude and willingness to work alternative shift patterns e.g. late shifts, weekends to support coverage, new releases Extra Awesome Privacy industry experience, or CIPP/E / CIPM certified Language skills (French, German, Spanish, Portuguese) Familiarity with IAB TCF 2.0 framework Familiarity of privacy, ethics, security, compliance, or sustainability concepts or industry trends Working knowledge of containerization, orchestration, and related infrastructures such as Docker, Kubernetes, OpenShift. Basic Knowledge of relational databases such as MySQL Knowledge of public cloud infrastructure such as AWS, Azure and Google Cloud (AKS, EKS, GKE, Drivers, Storage, VPN, Subnets). Linux and Windows Administration skills Experience with HTML, CSS, Javascript For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits. Salary Range $28.13-$37.50 USD Where we Work We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit Resources Check out the following to learn more about OneTrust and its people: OneTrust Careers on YouTube on Instagram Your Data You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview . You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form. Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an email address. You may also receive legitimate emails from . Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad - the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Job Description Job Description " The Actimize Data Modeler is responsible for designing, developing, and maintaining data models that support the implementation and optimization of the Actimize platform for AML, KYC, Customer Risk Rating, and Transaction Monitoring solutions. The role works closely with business analysts, data architects, Actimize developers, and compliance stakeholders to ensure accurate data integration and regulatory reporting. Key Responsibilities Design and maintain conceptual, logical, and physical data models for Actimize applications. Analyze source systems and map data elements to the Actimize Common Data Model (ACDM). Define ETL requirements and data transformation rules for AML and Financial Crime solutions. Collaborate with business stakeholders to understand regulatory and compliance requirements. Perform data profiling, data quality assessments, and gap analysis. Support implementation of: Actimize Integrated Fraud Management Actimize Transaction Monitoring Customer Due Diligence (CDD) Know Your Customer (KYC) Watchlist Screening Customer Risk Rating ActOne Create source-to-target mapping documents and data dictionaries. Work with database teams to optimize data structures and performance. Support UAT, SIT, and production deployments. Ensure data governance, lineage, and auditability requirements are met. Required Skills Strong experience with NICE Actimize platform. Deep understanding of Actimize Common Data Model (ACDM). Experience in fraud, AML, KYC, Sanctions Screening, and Fraud. Strong SQL skills (Oracle, SQL Server, PostgreSQL, or DB2). Experience with ETL tools and data integration frameworks. Knowledge of data warehousing and dimensional modeling. Ability to create source-to-target mappings and data lineage documentation. Experience with large-scale banking data environments.

Job Description Job Description About Overwatch Data Overwatch Data is building the intel and risk teams of the future. We combine reliable automation, AI agents, and a team of creative technical experts to make catching the known-knowns easier and uncovering the unknown-unknowns possible. Our platform helps financial institutions, digital-facing companies, and other organizations identify and investigate cyber-enabled fraud across the open, deep, and dark web. We turn fragmented data into timely, evidence-backed intelligence that risk teams can act on. About the Role We are looking for a Fraud/Cyber Threat Intelligence Investigator who can turn complex and incomplete information into clear, actionable intelligence for customers. The role combines responsive intelligence work, answering customer Requests for Information (RFIs), with proactive research into emerging fraud threats, actors, methods, and criminal ecosystems. You will also help discover valuable new sources, analyze fraud tactics, techniques, and procedures (TTPs), and produce high-quality intelligence reports. This is primarily an intelligence research and production role, not a collections role. You will collaborate with collections, engineering, data science, product, and customer teams to answer important questions, anticipate emerging risks, and improve how intelligence is produced at scale. What You'll Do RFIs, Research, and Analysis Own customer RFIs from intake through delivery: clarify the question, define scope, conduct research, assess the evidence, and produce the response. Conduct rapid-turnaround investigations and longer-term research into fraud schemes, threat actors, criminal communities, exposed data, suspicious infrastructure, and emerging campaigns. Search, validate, and contextualize information from Overwatch's own threat intelligence collections, and if needed, external open sources, social platforms, messaging applications, forums, marketplaces, breach data, stealer logs, domains, and other relevant sources. Analyze how fraud schemes operate end to end, including actor roles, infrastructure, tools, victim targeting, monetization methods, and potential intervention points. Track changes in fraud TTPs across areas such as account takeover, payment fraud, phishing, social engineering, scams, compromised data, identity abuse, and money-mule activity. Correlate activity across sources and clearly distinguish confirmed facts, analytical judgments, hypotheses, intelligence gaps, and recommendations. Source Discovery Help identify and evaluate new open, deep, and dark-web sources relevant to customer requirements and emerging fraud trends. Assess forums, marketplaces, messaging channels, websites, and online communities for their relevance, reliability, uniqueness, and intelligence value. Map source migrations and relationships among communities, actors, administrators, and platforms. Document source characteristics and coverage gaps, and work with collections and engineering teams to prioritize new coverage. Support, but not primarily own, persistent access, persona management, or scaled collection infrastructure. Reporting and Collaboration Produce concise, client-ready RFI responses, executive summaries, flash reports, threat assessments, actor profiles, and longer-form research reports. Turn raw posts, screenshots, files, logs, and indicators into findings that explain what happened, why it matters, and what customers should consider doing next. Preserve source links, timestamps, evidence, confidence assessments, and investigative steps so findings are reproducible and defensible. Identify indicators, TTPs, and detection or disruption opportunities that customers can use in fraud prevention and investigations. Present findings in customer briefings and respond to follow-up questions with appropriate context and nuance. Translate recurring customer questions and research findings into monitoring priorities, new collection requirements, and product improvements. Review analyst- and AI-generated intelligence for accuracy, clarity, relevance, and sourcing. What We're Looking For Experience in OSINT investigations, fraud intelligence, cyber threat intelligence, financial crime research, investigative journalism, law enforcement intelligence, or a related field. Excellent writing and editing skills, including experience producing clear, evidence-backed reports for technical and executive audiences. Strong knowledge of cyber-enabled fraud, such as account takeover, payment fraud, phishing, scams, compromised cards and credentials, check fraud, identity abuse, or money-mule activity. Ability to break fraud schemes into observable TTPs and explain how actors, tools, infrastructure, and monetization methods fit together. Experience working with fragmented and unstructured material, including posts, chats, screenshots, files, logs, domains, and technical indicators. Strong analytical judgment and the discipline to evaluate sources, communicate uncertainty, and avoid overstating conclusions. Ability to manage multiple investigations and deliver consistently under tight deadlines. High standards for documentation, evidence preservation, operational security, privacy, and handling sensitive information. Nice to Have Experience supporting banks, card networks, fintech companies, payment processors, merchants, or other financial-services organizations. Familiarity with fraud operations and controls, including KYC/KYB, AML, merchant risk, authentication, transaction monitoring, or fraud detection. Familiarity with cyber threat intelligence, telegram, cybercrime forums, marketplaces, deep- and dark-web ecosystems, and compromised-data sources. Experience discovering or mapping new online sources and criminal communities. Familiarity with OSINT, link-analysis, domain-infrastructure, blockchain-analysis, stealer-log, or data-analysis tools. Relevant foreign-language capability, particularly Russian, Spanish, Portuguese, Chinese, Arabic, or another language used in fraud and cybercrime ecosystems. What Success Looks Like Customers receive timely, accurate, and actionable answers to important intelligence questions. Research identifies meaningful fraud developments and clearly explains the underlying TTPs. Source discovery improves coverage of the communities and channels most relevant to customer risk. Reports earn trust because they are rigorous, well sourced, clearly written, and honest about uncertainty.

Job Description Job Description Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world. The Role We are hiring our first Lead AI Architect to design, build, and run the centralized data and AI platform that powers Banyan. The cornerstone of the work is a centralized data model, a Banyan data lake, that consolidates the data we already have and unlocks safe AI experimentation for our internal functional teams: Finance, M&A, Business Development, and others. This role is modeled on a classical Enterprise Architect role and adapted for an AI-first world. You will set the target-state architecture, choose the patterns we standardize on, write code yourself, and own the result. You will partner with our embedded business analysts and the leaders of each functional vertical so the platform stays grounded in real use cases, not abstractions. This is a player-coach role. You start hands-on. Over time you build and lead a small platform team. What You Will Build A centralized data lake on AWS: the single, governed source of truth for internal Banyan data. Designed for analytics, ML, and AI experimentation. A reference architecture for AI: patterns and building blocks our verticals use to go from idea to safe production: model selection, RAG, evaluation, observability, cost controls. Guardrails that make experimentation safe: data classification, access tiering, sandboxes, audit logging, and clear rules for what can be sent where. A platform team and operating model: the team, standards, and rituals that keep the platform reliable and improving as adoption grows. What You Will Do Define and own the target-state data and AI architecture for Banyan. Make the trade-offs explicit and write them down. Design and build the AWS-centric data lake. Set the patterns for storage, cataloging, query, ingestion, modeling, and lineage. Likely stack: S3, Glue, Lake Formation, Athena, Redshift, Iceberg or similar open table formats, plus Terraform or CDK for infrastructure as code. Stand up the AI experimentation layer: model access via Anthropic, OpenAI and other LLM Establish data contracts, schema standards, naming conventions, and a domain model that holds up as we add sources and acquire companies. Partner with our Senior Business Analysts embedded in Finance, M&A, and Business Development to translate use cases into platform requirements and to unblock their work. Define security, privacy, and AI safety guardrails. Classify data, design access tiering, and set the rules for handling PII, regulated data, and confidential portfolio information. Stay hands-on. Write code, ship infrastructure, run code reviews, and debug production issues. Architects who do not build lose touch. Build the team including vertical aligned Senior Business AI Analysts. Find suitable contractors for data platform engineers, ML platform engineers, and data engineers. Mentor them. Set the bar for engineering quality. Own platform reliability, observability, and cost. Set SLOs, monitor usage, and keep the bill rational as we scale. Represent Banyan's AI and data architecture to our executive team, our portfolio companies, and external partners. First-Year Outcomes A production-ready, governed data lake foundation deployed on AWS, with at least three priority data domains landed and modeled. At least two functional verticals onboarded to the platform with safe, audited data access for analytics and AI experimentation. A documented reference architecture, security model, and standards library that new use cases and new hires can plug into. At least one AI use case running in production through the platform, with monitoring, evaluation, and a clear ROI story. First one to two team hires made and ramped. Who You Are 10+ years building data and AI platforms in production at meaningful scale. You have shipped, not just diagrammed. Deep AWS expertise. Hands-on with S3, IAM, KMS, networking, Glue, Lake Formation, Athena, Redshift, SageMaker, Bedrock, and EKS or ECS. Strong data architecture chops: lakehouse patterns, open table formats (Iceberg, Delta, or Hudi), data modeling, ingestion frameworks (Fivetran, Airbyte, custom), orchestration (Airflow, Dagster, or similar), and lineage. Real experience with modern AI/ML platform patterns: feature stores, model registries, experiment tracking, prompt and evaluation frameworks, retrieval-augmented generation, and basic agentic workflows. A working point of view on AI safety: data classification, PII handling, access tiering, evaluation, and model-risk controls. Hands-on coder. Strong Python and SQL. Comfortable in Terraform or AWS CDK. Reads logs, fixes issues, ships pull requests. Player-coach experience. You have led small teams, mentored engineers, set hiring bars, and grown people. A strong communicator. You can drive an architecture decision review with engineers and explain trade-offs to executives in the same week. Bachelor's degree in computer science, engineering, or a related field. A master's degree is a plus, not a requirement. Bonus Points Experience in private-equity-backed or holding-company environments with multiple business units and inconsistent source systems. Experience designing AI guardrails for non-public, regulated, or competitively sensitive data. Track record of treating internal platforms as products, with named users, SLAs, and a real adoption strategy. Experience with Snowflake or Databricks. Useful when bridging to portfolio company data without forcing a single stack. Past experience as the first or early platform hire at a growth-stage company. Why Banyan Greenfield with real budget. You set the foundation, you do not inherit a tangle. Real ownership of the AI and data architecture for an entire holding company. A long-term horizon. We do not optimize for the next quarter, so the platform you build can compound. A team that treats AI as a serious capability, not a buzzword. We have already built internal AI tooling we use every day. A culture of accountable autonomy. We trust you to do the work. Competitive compensation, benefits, and meaningful long-term upside. Quick Facts Team AI & Data Science Reports to Head of AI (And Or) Head of IT Scope Player-coach. Hands-on architect today, leading a small platform team over time. Location 100% Remote Type Full-time Level Lead Compensation Competitive base of CAD $180,000 to $210,000 plus performance bonus and benefits. Final offer reflects experience and qualifications. How to Apply Send your resume and a short note describing a data or AI platform you have architected. Tell us the choices you made, what shipped to production, and what you would do differently if you were starting over today. We look forward to hearing from you. Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance. Please Note: Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed. Recruitment Notice Banyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation. Beware of Recruitment Scams We have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment. . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Manager, Data Governance to lead the implementation and ongoing operation of its data governance and data enablement capabilities. This leader will build and manage a team of domain data analysts and data stewards who support business domains by addressing data quality, lineage, metadata, catalog, and data product control needs. This is a hands-on leadership opportunity within a developing data governance function. You will translate governance strategies, policies, and standards into practical services that help teams understand, manage, and improve their data. Success requires data governance expertise, service-oriented leadership, strong change-management skills, and the ability to influence partners without relying on formal authority. What You'll Do: Lead and develop a team of domain data analysts and data stewards responsible for the day-to-day implementation of data governance and data quality controls Implement and maintain the CoverMyMeds data enablement framework, including policies, standards, and procedures for data management, data quality, lineage, metadata, and responsible data use Operationalize data governance capabilities across data quality, business and technical metadata, data lineage, data cataloging, and data product controls. Partner with domain data officers, data owners, enterprise architecture, IT security, legal, compliance, and technology teams to establish accountability and embed governance practices into business operations Align data analysts and stewards with business domains, enabling them to develop subject-matter expertise and serve as a first point of contact for data-related issues Guide the identification, assessment, prioritization, and remediation of data quality issues in partnership with data owners and technology teams. Define and monitor data enablement metrics and key performance indicators to evaluate program effectiveness and identify opportunities for improvement. Drive adoption and change by communicating the value of new data governance services, building cross-functional support, and helping teams succeed in a developing operating model. Promote compliance with applicable data privacy requirements and internal data security policies, including considerations related to GDPR, CCPA, and HIPAA. Coach and support team members through clear goals, ongoing feedback, collaborative problem-solving, and a service-oriented leadership approach Basic Requirements: Degree or equivalent experience, and typically requires 9+ years of relative professional experience and 1+ years of supervisory and/or management experience Experience implementing or operating data governance, data management, or data enablement programs in a complex organization Knowledge of data governance principles and practices, including data quality, metadata management, data lineage, data cataloging, and data stewardship Experience leading people, teams, or cross-functional initiatives, including situations requiring influence without direct authority Experience partnering with business and technology stakeholders to translate data governance policies and standards into operational processes Demonstrated communication and change-management skills, including the ability to build understanding and adoption of new capabilities Experience identifying, assessing, and coordinating the resolution of data quality or data management issues Ability to analyze complex issues, establish priorities, and coordinate team activities to deliver practical solutions Preferred Skills / Experience: Familiarity with data governance frameworks and industry practices, such as DAMA-DMBOK Experience using enterprise data catalogs such as Alation, Collibra, or IBM InfoSphere. CoverMyMeds currently uses Alation as its data catalog, while experience with comparable platforms is relevant Familiarity with master data management concepts, frameworks, or technologies, including platforms from IBM or Informatica Ability to read or interpret SQL and investigate data, metadata, or catalog information when hands-on support is needed Experience working with healthcare, pharmaceutical, or similarly regulated data Experience helping establish a new team, service, or operating model in a developing or greenfield environment We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Manager, Data Governance to lead the implementation and ongoing operation of its data governance and data enablement capabilities. This leader will build and manage a team of domain data analysts and data stewards who support business domains by addressing data quality, lineage, metadata, catalog, and data product control needs. This is a hands-on leadership opportunity within a developing data governance function. You will translate governance strategies, policies, and standards into practical services that help teams understand, manage, and improve their data. Success requires data governance expertise, service-oriented leadership, strong change-management skills, and the ability to influence partners without relying on formal authority. What You'll Do: Lead and develop a team of domain data analysts and data stewards responsible for the day-to-day implementation of data governance and data quality controls Implement and maintain the CoverMyMeds data enablement framework, including policies, standards, and procedures for data management, data quality, lineage, metadata, and responsible data use Operationalize data governance capabilities across data quality, business and technical metadata, data lineage, data cataloging, and data product controls. Partner with domain data officers, data owners, enterprise architecture, IT security, legal, compliance, and technology teams to establish accountability and embed governance practices into business operations Align data analysts and stewards with business domains, enabling them to develop subject-matter expertise and serve as a first point of contact for data-related issues Guide the identification, assessment, prioritization, and remediation of data quality issues in partnership with data owners and technology teams. Define and monitor data enablement metrics and key performance indicators to evaluate program effectiveness and identify opportunities for improvement. Drive adoption and change by communicating the value of new data governance services, building cross-functional support, and helping teams succeed in a developing operating model. Promote compliance with applicable data privacy requirements and internal data security policies, including considerations related to GDPR, CCPA, and HIPAA. Coach and support team members through clear goals, ongoing feedback, collaborative problem-solving, and a service-oriented leadership approach Basic Requirements: Degree or equivalent experience, and typically requires 9+ years of relative professional experience and 1+ years of supervisory and/or management experience Experience implementing or operating data governance, data management, or data enablement programs in a complex organization Knowledge of data governance principles and practices, including data quality, metadata management, data lineage, data cataloging, and data stewardship Experience leading people, teams, or cross-functional initiatives, including situations requiring influence without direct authority Experience partnering with business and technology stakeholders to translate data governance policies and standards into operational processes Demonstrated communication and change-management skills, including the ability to build understanding and adoption of new capabilities Experience identifying, assessing, and coordinating the resolution of data quality or data management issues Ability to analyze complex issues, establish priorities, and coordinate team activities to deliver practical solutions Preferred Skills / Experience: Familiarity with data governance frameworks and industry practices, such as DAMA-DMBOK Experience using enterprise data catalogs such as Alation, Collibra, or IBM InfoSphere. CoverMyMeds currently uses Alation as its data catalog, while experience with comparable platforms is relevant Familiarity with master data management concepts, frameworks, or technologies, including platforms from IBM or Informatica Ability to read or interpret SQL and investigate data, metadata, or catalog information when hands-on support is needed Experience working with healthcare, pharmaceutical, or similarly regulated data Experience helping establish a new team, service, or operating model in a developing or greenfield environment We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Manager, Data Governance to lead the implementation and ongoing operation of its data governance and data enablement capabilities. This leader will build and manage a team of domain data analysts and data stewards who support business domains by addressing data quality, lineage, metadata, catalog, and data product control needs. This is a hands-on leadership opportunity within a developing data governance function. You will translate governance strategies, policies, and standards into practical services that help teams understand, manage, and improve their data. Success requires data governance expertise, service-oriented leadership, strong change-management skills, and the ability to influence partners without relying on formal authority. What You'll Do: Lead and develop a team of domain data analysts and data stewards responsible for the day-to-day implementation of data governance and data quality controls Implement and maintain the CoverMyMeds data enablement framework, including policies, standards, and procedures for data management, data quality, lineage, metadata, and responsible data use Operationalize data governance capabilities across data quality, business and technical metadata, data lineage, data cataloging, and data product controls. Partner with domain data officers, data owners, enterprise architecture, IT security, legal, compliance, and technology teams to establish accountability and embed governance practices into business operations Align data analysts and stewards with business domains, enabling them to develop subject-matter expertise and serve as a first point of contact for data-related issues Guide the identification, assessment, prioritization, and remediation of data quality issues in partnership with data owners and technology teams. Define and monitor data enablement metrics and key performance indicators to evaluate program effectiveness and identify opportunities for improvement. Drive adoption and change by communicating the value of new data governance services, building cross-functional support, and helping teams succeed in a developing operating model. Promote compliance with applicable data privacy requirements and internal data security policies, including considerations related to GDPR, CCPA, and HIPAA. Coach and support team members through clear goals, ongoing feedback, collaborative problem-solving, and a service-oriented leadership approach Basic Requirements: Degree or equivalent experience, and typically requires 9+ years of relative professional experience and 1+ years of supervisory and/or management experience Experience implementing or operating data governance, data management, or data enablement programs in a complex organization Knowledge of data governance principles and practices, including data quality, metadata management, data lineage, data cataloging, and data stewardship Experience leading people, teams, or cross-functional initiatives, including situations requiring influence without direct authority Experience partnering with business and technology stakeholders to translate data governance policies and standards into operational processes Demonstrated communication and change-management skills, including the ability to build understanding and adoption of new capabilities Experience identifying, assessing, and coordinating the resolution of data quality or data management issues Ability to analyze complex issues, establish priorities, and coordinate team activities to deliver practical solutions Preferred Skills / Experience: Familiarity with data governance frameworks and industry practices, such as DAMA-DMBOK Experience using enterprise data catalogs such as Alation, Collibra, or IBM InfoSphere. CoverMyMeds currently uses Alation as its data catalog, while experience with comparable platforms is relevant Familiarity with master data management concepts, frameworks, or technologies, including platforms from IBM or Informatica Ability to read or interpret SQL and investigate data, metadata, or catalog information when hands-on support is needed Experience working with healthcare, pharmaceutical, or similarly regulated data Experience helping establish a new team, service, or operating model in a developing or greenfield environment We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Databricks Platform Engineer is responsible for building, maintaining, and optimizing the cloud-based data platform that supports analytics, reporting, and data product development across the organization. This role focuses on the operational side of data engineering, including platform administration, infrastructure automation, data ingestion capabilities, governance implementation, and platform reliability. Working independently with limited direction, this individual partners with data engineers, architects, analysts, and business stakeholders to ensure the enterprise data platform remains scalable, secure, and efficient. The ideal candidate combines hands-on experience with Databricks administration, cloud infrastructure, and data engineering best practices to enable high-quality data solutions. Key Responsibilities Data Platform Operations Administer and maintain Databricks environments supporting enterprise analytics and data engineering workloads. Manage platform configurations, cluster performance, capacity planning, and operational stability. Monitor platform health and troubleshoot performance, reliability, and operational issues. Support lifecycle management of platform resources across development, testing, and production environments. Cloud Infrastructure & Automation Develop and maintain Infrastructure as Code solutions using Terraform. Support cloud-based data infrastructure within Azure environments. Implement automation to improve platform consistency, reliability, and operational efficiency. Partner with infrastructure and security teams to ensure adherence to enterprise standards. Data Engineering Enablement Build and support data ingestion frameworks and pipelines that enable reliable movement of data across platforms. Collaborate with Data Engineers to improve platform capabilities and optimize data processing workloads. Support structured and unstructured data workloads within cloud data environments. Assist in identifying and resolving data performance bottlenecks. Governance & Security Support data governance initiatives using Databricks Unity Catalog. Implement and maintain data access controls, permissions, and governance standards. Ensure compliance with organizational security and data management requirements. Contribute to metadata, lineage, and data quality practices. Continuous Improvement Evaluate new tools, technologies, and platform capabilities. Recommend improvements that enhance scalability, reliability, and developer productivity. Document platform standards, operational procedures, and support processes. Participate in incident response, root cause analysis, and operational reviews. Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role presently or in the future. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience. 4+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines. Experience administering Databricks environments. Experience with Terraform and Infrastructure as Code practices. Experience supporting Azure cloud services and infrastructure. Experience developing and maintaining data ingestion solutions. Strong SQL and troubleshooting skills. Experience supporting production environments and operational workloads. Understanding of data modeling, data governance, and modern data architecture concepts. Preferred Qualifications Experience with Unity Catalog and Databricks governance capabilities. Experience supporting Azure Data Lake, Snowflake, or related cloud data technologies. Experience with Python and data engineering automation. Experience working in large-scale cloud analytics environments. Experience supporting CI/CD and deployment automation practices. Healthcare or regulated industry experience. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Manager, Data Governance to lead the implementation and ongoing operation of its data governance and data enablement capabilities. This leader will build and manage a team of domain data analysts and data stewards who support business domains by addressing data quality, lineage, metadata, catalog, and data product control needs. This is a hands-on leadership opportunity within a developing data governance function. You will translate governance strategies, policies, and standards into practical services that help teams understand, manage, and improve their data. Success requires data governance expertise, service-oriented leadership, strong change-management skills, and the ability to influence partners without relying on formal authority. What You'll Do: Lead and develop a team of domain data analysts and data stewards responsible for the day-to-day implementation of data governance and data quality controls Implement and maintain the CoverMyMeds data enablement framework, including policies, standards, and procedures for data management, data quality, lineage, metadata, and responsible data use Operationalize data governance capabilities across data quality, business and technical metadata, data lineage, data cataloging, and data product controls. Partner with domain data officers, data owners, enterprise architecture, IT security, legal, compliance, and technology teams to establish accountability and embed governance practices into business operations Align data analysts and stewards with business domains, enabling them to develop subject-matter expertise and serve as a first point of contact for data-related issues Guide the identification, assessment, prioritization, and remediation of data quality issues in partnership with data owners and technology teams. Define and monitor data enablement metrics and key performance indicators to evaluate program effectiveness and identify opportunities for improvement. Drive adoption and change by communicating the value of new data governance services, building cross-functional support, and helping teams succeed in a developing operating model. Promote compliance with applicable data privacy requirements and internal data security policies, including considerations related to GDPR, CCPA, and HIPAA. Coach and support team members through clear goals, ongoing feedback, collaborative problem-solving, and a service-oriented leadership approach Basic Requirements: Degree or equivalent experience, and typically requires 9+ years of relative professional experience and 1+ years of supervisory and/or management experience Experience implementing or operating data governance, data management, or data enablement programs in a complex organization Knowledge of data governance principles and practices, including data quality, metadata management, data lineage, data cataloging, and data stewardship Experience leading people, teams, or cross-functional initiatives, including situations requiring influence without direct authority Experience partnering with business and technology stakeholders to translate data governance policies and standards into operational processes Demonstrated communication and change-management skills, including the ability to build understanding and adoption of new capabilities Experience identifying, assessing, and coordinating the resolution of data quality or data management issues Ability to analyze complex issues, establish priorities, and coordinate team activities to deliver practical solutions Preferred Skills / Experience: Familiarity with data governance frameworks and industry practices, such as DAMA-DMBOK Experience using enterprise data catalogs such as Alation, Collibra, or IBM InfoSphere. CoverMyMeds currently uses Alation as its data catalog, while experience with comparable platforms is relevant Familiarity with master data management concepts, frameworks, or technologies, including platforms from IBM or Informatica Ability to read or interpret SQL and investigate data, metadata, or catalog information when hands-on support is needed Experience working with healthcare, pharmaceutical, or similarly regulated data Experience helping establish a new team, service, or operating model in a developing or greenfield environment We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Manager, Data Governance to lead the implementation and ongoing operation of its data governance and data enablement capabilities. This leader will build and manage a team of domain data analysts and data stewards who support business domains by addressing data quality, lineage, metadata, catalog, and data product control needs. This is a hands-on leadership opportunity within a developing data governance function. You will translate governance strategies, policies, and standards into practical services that help teams understand, manage, and improve their data. Success requires data governance expertise, service-oriented leadership, strong change-management skills, and the ability to influence partners without relying on formal authority. What You'll Do: Lead and develop a team of domain data analysts and data stewards responsible for the day-to-day implementation of data governance and data quality controls Implement and maintain the CoverMyMeds data enablement framework, including policies, standards, and procedures for data management, data quality, lineage, metadata, and responsible data use Operationalize data governance capabilities across data quality, business and technical metadata, data lineage, data cataloging, and data product controls. Partner with domain data officers, data owners, enterprise architecture, IT security, legal, compliance, and technology teams to establish accountability and embed governance practices into business operations Align data analysts and stewards with business domains, enabling them to develop subject-matter expertise and serve as a first point of contact for data-related issues Guide the identification, assessment, prioritization, and remediation of data quality issues in partnership with data owners and technology teams. Define and monitor data enablement metrics and key performance indicators to evaluate program effectiveness and identify opportunities for improvement. Drive adoption and change by communicating the value of new data governance services, building cross-functional support, and helping teams succeed in a developing operating model. Promote compliance with applicable data privacy requirements and internal data security policies, including considerations related to GDPR, CCPA, and HIPAA. Coach and support team members through clear goals, ongoing feedback, collaborative problem-solving, and a service-oriented leadership approach Basic Requirements: Degree or equivalent experience, and typically requires 9+ years of relative professional experience and 1+ years of supervisory and/or management experience Experience implementing or operating data governance, data management, or data enablement programs in a complex organization Knowledge of data governance principles and practices, including data quality, metadata management, data lineage, data cataloging, and data stewardship Experience leading people, teams, or cross-functional initiatives, including situations requiring influence without direct authority Experience partnering with business and technology stakeholders to translate data governance policies and standards into operational processes Demonstrated communication and change-management skills, including the ability to build understanding and adoption of new capabilities Experience identifying, assessing, and coordinating the resolution of data quality or data management issues Ability to analyze complex issues, establish priorities, and coordinate team activities to deliver practical solutions Preferred Skills / Experience: Familiarity with data governance frameworks and industry practices, such as DAMA-DMBOK Experience using enterprise data catalogs such as Alation, Collibra, or IBM InfoSphere. CoverMyMeds currently uses Alation as its data catalog, while experience with comparable platforms is relevant Familiarity with master data management concepts, frameworks, or technologies, including platforms from IBM or Informatica Ability to read or interpret SQL and investigate data, metadata, or catalog information when hands-on support is needed Experience working with healthcare, pharmaceutical, or similarly regulated data Experience helping establish a new team, service, or operating model in a developing or greenfield environment We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Manager, Data Governance to lead the implementation and ongoing operation of its data governance and data enablement capabilities. This leader will build and manage a team of domain data analysts and data stewards who support business domains by addressing data quality, lineage, metadata, catalog, and data product control needs. This is a hands-on leadership opportunity within a developing data governance function. You will translate governance strategies, policies, and standards into practical services that help teams understand, manage, and improve their data. Success requires data governance expertise, service-oriented leadership, strong change-management skills, and the ability to influence partners without relying on formal authority. What You'll Do: Lead and develop a team of domain data analysts and data stewards responsible for the day-to-day implementation of data governance and data quality controls Implement and maintain the CoverMyMeds data enablement framework, including policies, standards, and procedures for data management, data quality, lineage, metadata, and responsible data use Operationalize data governance capabilities across data quality, business and technical metadata, data lineage, data cataloging, and data product controls. Partner with domain data officers, data owners, enterprise architecture, IT security, legal, compliance, and technology teams to establish accountability and embed governance practices into business operations Align data analysts and stewards with business domains, enabling them to develop subject-matter expertise and serve as a first point of contact for data-related issues Guide the identification, assessment, prioritization, and remediation of data quality issues in partnership with data owners and technology teams. Define and monitor data enablement metrics and key performance indicators to evaluate program effectiveness and identify opportunities for improvement. Drive adoption and change by communicating the value of new data governance services, building cross-functional support, and helping teams succeed in a developing operating model. Promote compliance with applicable data privacy requirements and internal data security policies, including considerations related to GDPR, CCPA, and HIPAA. Coach and support team members through clear goals, ongoing feedback, collaborative problem-solving, and a service-oriented leadership approach Basic Requirements: Degree or equivalent experience, and typically requires 9+ years of relative professional experience and 1+ years of supervisory and/or management experience Experience implementing or operating data governance, data management, or data enablement programs in a complex organization Knowledge of data governance principles and practices, including data quality, metadata management, data lineage, data cataloging, and data stewardship Experience leading people, teams, or cross-functional initiatives, including situations requiring influence without direct authority Experience partnering with business and technology stakeholders to translate data governance policies and standards into operational processes Demonstrated communication and change-management skills, including the ability to build understanding and adoption of new capabilities Experience identifying, assessing, and coordinating the resolution of data quality or data management issues Ability to analyze complex issues, establish priorities, and coordinate team activities to deliver practical solutions Preferred Skills / Experience: Familiarity with data governance frameworks and industry practices, such as DAMA-DMBOK Experience using enterprise data catalogs such as Alation, Collibra, or IBM InfoSphere. CoverMyMeds currently uses Alation as its data catalog, while experience with comparable platforms is relevant Familiarity with master data management concepts, frameworks, or technologies, including platforms from IBM or Informatica Ability to read or interpret SQL and investigate data, metadata, or catalog information when hands-on support is needed Experience working with healthcare, pharmaceutical, or similarly regulated data Experience helping establish a new team, service, or operating model in a developing or greenfield environment We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Databricks Platform Engineer is responsible for building, maintaining, and optimizing the cloud-based data platform that supports analytics, reporting, and data product development across the organization. This role focuses on the operational side of data engineering, including platform administration, infrastructure automation, data ingestion capabilities, governance implementation, and platform reliability. Working independently with limited direction, this individual partners with data engineers, architects, analysts, and business stakeholders to ensure the enterprise data platform remains scalable, secure, and efficient. The ideal candidate combines hands-on experience with Databricks administration, cloud infrastructure, and data engineering best practices to enable high-quality data solutions. Key Responsibilities Data Platform Operations Administer and maintain Databricks environments supporting enterprise analytics and data engineering workloads. Manage platform configurations, cluster performance, capacity planning, and operational stability. Monitor platform health and troubleshoot performance, reliability, and operational issues. Support lifecycle management of platform resources across development, testing, and production environments. Cloud Infrastructure & Automation Develop and maintain Infrastructure as Code solutions using Terraform. Support cloud-based data infrastructure within Azure environments. Implement automation to improve platform consistency, reliability, and operational efficiency. Partner with infrastructure and security teams to ensure adherence to enterprise standards. Data Engineering Enablement Build and support data ingestion frameworks and pipelines that enable reliable movement of data across platforms. Collaborate with Data Engineers to improve platform capabilities and optimize data processing workloads. Support structured and unstructured data workloads within cloud data environments. Assist in identifying and resolving data performance bottlenecks. Governance & Security Support data governance initiatives using Databricks Unity Catalog. Implement and maintain data access controls, permissions, and governance standards. Ensure compliance with organizational security and data management requirements. Contribute to metadata, lineage, and data quality practices. Continuous Improvement Evaluate new tools, technologies, and platform capabilities. Recommend improvements that enhance scalability, reliability, and developer productivity. Document platform standards, operational procedures, and support processes. Participate in incident response, root cause analysis, and operational reviews. Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role presently or in the future. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience. 4+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines. Experience administering Databricks environments. Experience with Terraform and Infrastructure as Code practices. Experience supporting Azure cloud services and infrastructure. Experience developing and maintaining data ingestion solutions. Strong SQL and troubleshooting skills. Experience supporting production environments and operational workloads. Understanding of data modeling, data governance, and modern data architecture concepts. Preferred Qualifications Experience with Unity Catalog and Databricks governance capabilities. Experience supporting Azure Data Lake, Snowflake, or related cloud data technologies. Experience with Python and data engineering automation. Experience working in large-scale cloud analytics environments. Experience supporting CI/CD and deployment automation practices. Healthcare or regulated industry experience. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Manager, Data Governance to lead the implementation and ongoing operation of its data governance and data enablement capabilities. This leader will build and manage a team of domain data analysts and data stewards who support business domains by addressing data quality, lineage, metadata, catalog, and data product control needs. This is a hands-on leadership opportunity within a developing data governance function. You will translate governance strategies, policies, and standards into practical services that help teams understand, manage, and improve their data. Success requires data governance expertise, service-oriented leadership, strong change-management skills, and the ability to influence partners without relying on formal authority. What You'll Do: Lead and develop a team of domain data analysts and data stewards responsible for the day-to-day implementation of data governance and data quality controls Implement and maintain the CoverMyMeds data enablement framework, including policies, standards, and procedures for data management, data quality, lineage, metadata, and responsible data use Operationalize data governance capabilities across data quality, business and technical metadata, data lineage, data cataloging, and data product controls. Partner with domain data officers, data owners, enterprise architecture, IT security, legal, compliance, and technology teams to establish accountability and embed governance practices into business operations Align data analysts and stewards with business domains, enabling them to develop subject-matter expertise and serve as a first point of contact for data-related issues Guide the identification, assessment, prioritization, and remediation of data quality issues in partnership with data owners and technology teams. Define and monitor data enablement metrics and key performance indicators to evaluate program effectiveness and identify opportunities for improvement. Drive adoption and change by communicating the value of new data governance services, building cross-functional support, and helping teams succeed in a developing operating model. Promote compliance with applicable data privacy requirements and internal data security policies, including considerations related to GDPR, CCPA, and HIPAA. Coach and support team members through clear goals, ongoing feedback, collaborative problem-solving, and a service-oriented leadership approach Basic Requirements: Degree or equivalent experience, and typically requires 9+ years of relative professional experience and 1+ years of supervisory and/or management experience Experience implementing or operating data governance, data management, or data enablement programs in a complex organization Knowledge of data governance principles and practices, including data quality, metadata management, data lineage, data cataloging, and data stewardship Experience leading people, teams, or cross-functional initiatives, including situations requiring influence without direct authority Experience partnering with business and technology stakeholders to translate data governance policies and standards into operational processes Demonstrated communication and change-management skills, including the ability to build understanding and adoption of new capabilities Experience identifying, assessing, and coordinating the resolution of data quality or data management issues Ability to analyze complex issues, establish priorities, and coordinate team activities to deliver practical solutions Preferred Skills / Experience: Familiarity with data governance frameworks and industry practices, such as DAMA-DMBOK Experience using enterprise data catalogs such as Alation, Collibra, or IBM InfoSphere. CoverMyMeds currently uses Alation as its data catalog, while experience with comparable platforms is relevant Familiarity with master data management concepts, frameworks, or technologies, including platforms from IBM or Informatica Ability to read or interpret SQL and investigate data, metadata, or catalog information when hands-on support is needed Experience working with healthcare, pharmaceutical, or similarly regulated data Experience helping establish a new team, service, or operating model in a developing or greenfield environment We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Manager, Data Governance to lead the implementation and ongoing operation of its data governance and data enablement capabilities. This leader will build and manage a team of domain data analysts and data stewards who support business domains by addressing data quality, lineage, metadata, catalog, and data product control needs. This is a hands-on leadership opportunity within a developing data governance function. You will translate governance strategies, policies, and standards into practical services that help teams understand, manage, and improve their data. Success requires data governance expertise, service-oriented leadership, strong change-management skills, and the ability to influence partners without relying on formal authority. What You'll Do: Lead and develop a team of domain data analysts and data stewards responsible for the day-to-day implementation of data governance and data quality controls Implement and maintain the CoverMyMeds data enablement framework, including policies, standards, and procedures for data management, data quality, lineage, metadata, and responsible data use Operationalize data governance capabilities across data quality, business and technical metadata, data lineage, data cataloging, and data product controls. Partner with domain data officers, data owners, enterprise architecture, IT security, legal, compliance, and technology teams to establish accountability and embed governance practices into business operations Align data analysts and stewards with business domains, enabling them to develop subject-matter expertise and serve as a first point of contact for data-related issues Guide the identification, assessment, prioritization, and remediation of data quality issues in partnership with data owners and technology teams. Define and monitor data enablement metrics and key performance indicators to evaluate program effectiveness and identify opportunities for improvement. Drive adoption and change by communicating the value of new data governance services, building cross-functional support, and helping teams succeed in a developing operating model. Promote compliance with applicable data privacy requirements and internal data security policies, including considerations related to GDPR, CCPA, and HIPAA. Coach and support team members through clear goals, ongoing feedback, collaborative problem-solving, and a service-oriented leadership approach Basic Requirements: Degree or equivalent experience, and typically requires 9+ years of relative professional experience and 1+ years of supervisory and/or management experience Experience implementing or operating data governance, data management, or data enablement programs in a complex organization Knowledge of data governance principles and practices, including data quality, metadata management, data lineage, data cataloging, and data stewardship Experience leading people, teams, or cross-functional initiatives, including situations requiring influence without direct authority Experience partnering with business and technology stakeholders to translate data governance policies and standards into operational processes Demonstrated communication and change-management skills, including the ability to build understanding and adoption of new capabilities Experience identifying, assessing, and coordinating the resolution of data quality or data management issues Ability to analyze complex issues, establish priorities, and coordinate team activities to deliver practical solutions Preferred Skills / Experience: Familiarity with data governance frameworks and industry practices, such as DAMA-DMBOK Experience using enterprise data catalogs such as Alation, Collibra, or IBM InfoSphere. CoverMyMeds currently uses Alation as its data catalog, while experience with comparable platforms is relevant Familiarity with master data management concepts, frameworks, or technologies, including platforms from IBM or Informatica Ability to read or interpret SQL and investigate data, metadata, or catalog information when hands-on support is needed Experience working with healthcare, pharmaceutical, or similarly regulated data Experience helping establish a new team, service, or operating model in a developing or greenfield environment We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Manager, Data Governance to lead the implementation and ongoing operation of its data governance and data enablement capabilities. This leader will build and manage a team of domain data analysts and data stewards who support business domains by addressing data quality, lineage, metadata, catalog, and data product control needs. This is a hands-on leadership opportunity within a developing data governance function. You will translate governance strategies, policies, and standards into practical services that help teams understand, manage, and improve their data. Success requires data governance expertise, service-oriented leadership, strong change-management skills, and the ability to influence partners without relying on formal authority. What You'll Do: Lead and develop a team of domain data analysts and data stewards responsible for the day-to-day implementation of data governance and data quality controls Implement and maintain the CoverMyMeds data enablement framework, including policies, standards, and procedures for data management, data quality, lineage, metadata, and responsible data use Operationalize data governance capabilities across data quality, business and technical metadata, data lineage, data cataloging, and data product controls. Partner with domain data officers, data owners, enterprise architecture, IT security, legal, compliance, and technology teams to establish accountability and embed governance practices into business operations Align data analysts and stewards with business domains, enabling them to develop subject-matter expertise and serve as a first point of contact for data-related issues Guide the identification, assessment, prioritization, and remediation of data quality issues in partnership with data owners and technology teams. Define and monitor data enablement metrics and key performance indicators to evaluate program effectiveness and identify opportunities for improvement. Drive adoption and change by communicating the value of new data governance services, building cross-functional support, and helping teams succeed in a developing operating model. Promote compliance with applicable data privacy requirements and internal data security policies, including considerations related to GDPR, CCPA, and HIPAA. Coach and support team members through clear goals, ongoing feedback, collaborative problem-solving, and a service-oriented leadership approach Basic Requirements: Degree or equivalent experience, and typically requires 9+ years of relative professional experience and 1+ years of supervisory and/or management experience Experience implementing or operating data governance, data management, or data enablement programs in a complex organization Knowledge of data governance principles and practices, including data quality, metadata management, data lineage, data cataloging, and data stewardship Experience leading people, teams, or cross-functional initiatives, including situations requiring influence without direct authority Experience partnering with business and technology stakeholders to translate data governance policies and standards into operational processes Demonstrated communication and change-management skills, including the ability to build understanding and adoption of new capabilities Experience identifying, assessing, and coordinating the resolution of data quality or data management issues Ability to analyze complex issues, establish priorities, and coordinate team activities to deliver practical solutions Preferred Skills / Experience: Familiarity with data governance frameworks and industry practices, such as DAMA-DMBOK Experience using enterprise data catalogs such as Alation, Collibra, or IBM InfoSphere. CoverMyMeds currently uses Alation as its data catalog, while experience with comparable platforms is relevant Familiarity with master data management concepts, frameworks, or technologies, including platforms from IBM or Informatica Ability to read or interpret SQL and investigate data, metadata, or catalog information when hands-on support is needed Experience working with healthcare, pharmaceutical, or similarly regulated data Experience helping establish a new team, service, or operating model in a developing or greenfield environment We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Spanish language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Italian language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality - bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems - auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title : Data Quality Analyst Hiring in : Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours : Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization : Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You'll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs - answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers - escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We're Looking For Native-level Turkish language proficiency and a university degree (Bachelor's or higher). B2 or superior level of English. 2-4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.