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Beauty Co-Lab (BCL) is a bespoke Omnicom Media Group unit for L'Oréal USA delivering an industry-leading agency solution that drives business growth and transformation. With deep expertise in data and technology, we deliver audience first, full-funnel and omni-channel strategies to deliver against L'Oréal's mission: Create the Beauty that moves the world. For over a century, L'Oréal has devoted its energy, innovation, and scientific excellence solely to one vocation: Creating Beauty with a main goal of offering each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity. At Beauty Co-Lab, our mission is to co-create what's next and our team of beauty champions and media challengers possess modern media, commerce, and analytics skillsets to keep pace with the rapidly changing ecosystem and reflect the wonderful diversity of the consumers and communities we serve. We are passionate about beauty, media, data, and technology. Overview We are hiring for a Technical Director, Data & Data Science. Our Data Operations team plays a critical role in delivering high-impact reporting and analytics, working closely with planning and investment teams to consistently exceed client business objectives. Qualifications Strong experience in data modeling and automation of data pipelines and reporting workflows. Familiarity with cloud data platforms (e.g., AWS, Google Cloud Platform, Microsoft Azure). Exceptional presentation and communication skills, capable of influencing stakeholders at all levels. Proficient in SQL for data querying, transformation, and analysis. Expertise in quality assurance methodologies and issue resolution. Strong organizational and project management skills, with an ability to manage multiple priorities in a fast-paced environment. Education and Experience A university degree in a related field, and 7-10 years of experience in advertising, management consulting, marketing or digital consulting Knowledge of agency-side execution processes Responsibilities External facing responsibilities: Lead cross-functional discussions with key stakeholders to optimize media reporting frameworks. Champion the adoption of automated reporting solutions and drive process improvements across teams. Serve as the subject matter expert on data quality initiatives, offering guidance and best practices for related projects and processes. Collect and translate reporting requirements for both internal and client-facing dashboards and reports. Facilitate effective communication and task progression through regular status meetings and collaborative working sessions. Proactively identify, escalate, and resolve project roadblocks and issues. Oversee project plans for all reporting deliverables, ensuring alignment across teams and clients. Ensure timely and accurate delivery of scheduled and ad hoc reporting requests. Provide ongoing technical support and expertise for data operations processes. Internal leadership responsibilities: Uphold and enforce data quality standards throughout all reporting and analytics processes. Lead, mentor, and develop junior staff and offshore teams to foster a high-performing, collaborative culture. Develop, document, and maintain data standards, operational processes, and best practice guides. Identify and recommend solutions for data quality challenges and operational inefficiencies. Drive internal initiatives focused on process optimization, data modeling, and automation. #LI-CC1 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $165,000-$185,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice

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

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

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum is currently seeking a hands-on Senior Project/Program Manager to support our State of Illinois Medicaid Data and Analytics project within our State Government Solutions Data and Analytics practice. The Senior PM will work with large Medicaid healthcare datasets and will translate clients' business requirements into enterprise systems, applications, or process designs for complex Medicaid health data solutions. The role will drive and support initiatives for our State of Illinois Data and Analytics project as well as participate in the broader Optum State Government Data and Analytics group's areas of data usage and governance, information management, privacy and security, data analytics and visualization and information modeling. The Data Analytics Manager will lead the operations and large-scale design, development, and implementation project using industry standard project management best practices. These project management best practices include management of integration, scope, schedule, cost, quality, resource, communication, risk, procurement, and stakeholder. In this critical role the selected candidate will collaborate closely with the client to build/expand data warehouse and report solutions for Optum. Serves as a key resource on complex business and technical issues facilitating and guiding for a resolution to meet/exceed customer expectations. Sets the example for communication with outstanding written and verbal communication. Manage cross-functional interdependencies between the customer, project teams, product team, and leadership. You will enjoy the flexibility to work remotely* from anywhere within the continental U.S. as you take on some tough challenges. Primary Responsibilities Meet Contractual requirements including operational and data quality Lead the data load operations and analytics projects including coordinating product maintenance, upgrades, and prepare for Cloud migration Lead implementing the solutions in the Cloud Support contract renewals and response to RFPs Partner with legal, marketing, sales, accounting, finance, leadership, solutions, and other team so support account growth, and broader SGS growth to meet the MBOs. Communicate and work with other project/EDW managers, project team, customer, and the EDW delivery/operations, BI Reporting/Analytics, and MDM team to coordinate all aspects of the project. Serve as a technology generalist to guide the team on-prem and Cloud based solutions/implementations; partner with other teams such as product, architecture, legal, financial, accounting, Center of Excellence (CoE), and leadership as required. Lead as a functional/business specialist or subject matter and liaison between the customer business team and technical project teams; partner with other State partners or vendors as required. Serve as a key resource on complex and/or critical issues Support in meeting the Management by Business Objectives (MBOs) to achieve employee experience, customer loyalty, financial/revenue growth, and innovation goals. Review work performed by others; provide recommendations for improvement. Forecast and plan resource requirements. Authorize deviations from standards. Lead functional or segment teams or projects. Provide explanations and information to others on complex issues. Lead, motivate, coach/mentor, and inspire other team members. Manage customer relationships and anticipate customer needs to proactively develop solutions. Develop and negotiate win/win solutions to project issues. Support growth to the project/program Work with end users/customers to understand and develop requirement. Organize and lead project related meetings with customers, development staff, and sponsor level staff Develop/maintain formal Project Schedule. Deliver timely and accurate Project Status Reporting and Project Quality Management Deliver Project Resource/Staffing Management. Lead to deliver the project/contractual requirements and actively manage project triple constraints, and risks/issues and action items to manage the needs of the stakeholders. Lead/Support all knowledge areas of PMI, project management principles, and all project performance domains - per the latest PMBOK. Communicate effectively, verbally and in writing, with programmers, analysts, immediate supervisor, management, system users, operations, other State agencies and the private sector. Meet with users for clarification and elaboration as necessary to clearly define a problem and conceptualize a development plan. Recognize, gather, correlate, and analyze facts, draw conclusions, define problems, and devise solutions and alternatives; and make appropriate recommendations. You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 5+ years of experience managing a contract for a program valued at $5 million in revenue or greater 5+ years of experience with managing complex application development projects with 10 or more resources, especially with Cloud based implementations 5+ years of experience managing customer relationships Experience working/leading projects with databases such as Teradata, and ETL such as Informatica (PowerCenter, B2B, IDQ), and BI tools such Business Objects, Tableau, Power BI Experience working/leading projects with BI reporting/data analytics for decision support systems Willing or ability to travel up to 25% as needed by the client Proven excellent written, verbal communication skills, and presentation skills to executive teams Preferred Qualifications: PMI Project Management Professional certified Certified Business Intelligence Professional (CBIP) certification 5+ years of experience with Medicaid or Healthcare 5+ years of Data Warehousing and Analytics experience 3+ years of formal personnel management experience of both direct reports and matrixed resources Experience working with Health plan/MCOs, pre-adjudicated claims, and encounter claims data Experience with HIPAA X12/EDI Transactions such as 837I/P, 835-RA, 277-CA, etc State Medicaid Data Warehouse or Medicaid Management Information Systems Experience with Agile methodology, Scrum framework, and Agile/Scrum projects Experience with Project and Contract level Change Management and Issue Management Experience with project development methodology and project management methodology and able to apply methodology in a practical manner Experience with Cloud based technology such as MS Azure, Snowflake database, Python, Azure Data Factory, Data Bricks, et al Experience with data streaming, data analytics platform Teradata/IntelliFlex experience Informatica experience Business Objects experience SAS experience Tableau / PowerBI experience SharePoint experience Experience working with Agile project and tools such as JIRA, DevOps, VersionOne, Rally, or equivalent Experience with Microsoft Project and Project Online Solid understanding of Medicaid Program including Program management, Program Integrity, and Federal Reporting (such as T-MSIS, MARS, and HEDIS/Quality of Care measures or equivalent projects) All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy The salary range for this role is $106,800 to $194,200 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you'll find a far-reaching choice of benefits and incentives. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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

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

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer’s disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards . The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based . Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

The Opportunity Join our dynamic team as a Data Software Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability. The Team You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security. Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment. Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform. Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes. Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability. Optimize data workflows for performance and cost-efficiency in the cloud. Drive the implementation of Operational Data Store (ODS) patterns and integrate with downstream data warehouse and analytics layers. Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule. Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake). Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts. Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions. Participate in roadmap planning and contribute to long-term data platform strategy and technology selection. Ensure compliance with data governance, security, and operational standards across all engineering activities. The Minimum Qualifications Bachelor ’ s in Computer Science, Engineering or related technical field 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment 2+ years experience in Python, SQL, and automation scripting 2+ years experience with containerization (Docker, ECS, EKS) The Ideal Qualifications Master ’ s degree in Computer Science, Engineering or related field AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer). Knowledge of streaming data technologies (e.g., Kinesis, Kafka) Exposure to data lake and data warehouse architectures Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus) Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow) Demonstrated experience working with global delivery teams and cross-functional stakeholders Strong communication skills with a proven ability to work across functional teams Experience with data lake architecture, data governance frameworks, and modern metadata management Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas) Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA) Exceptional communication and interpersonal skills Ability to influence and motivate teams without direct authority Excellent time management and organizational skills, with the ability to prioritize multiple initiatives #LI-RK1 Salary Range: $134,400.00-$176,400.00 At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. Why Join Us. We’ve been around since 1851. During our history, we’ve learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It’s more than our company structure – it’s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

We are a forward-thinking financial services organization, committed to delivering innovative digital solutions. Our data-driven approach powers our digital products, and we are establishing a shared data products organization to enhance our data platform capabilities and provide actionable insights into digital behaviors and performance. We are seeking an experienced Associate Director of Data Products to lead our shared data products organization within the digital product division. In this leadership role, you will oversee a team of data analysts and managers, driving the vision and execution of a scalable data platform and building digital data products that provide key insights into product performance and user behavior. You will collaborate closely with engineering and product teams to ensure that data products align with business objectives and contribute to the company’s overall digital strategy. This role is Hybrid. You should be located within a commutable distance to one of our offices located in Baltimore MD, Charlotte NC, Wilmington DE, or Dallas/Fort Worth TX. Target base salary range is $140k - $170k which is based on various factors including skills, work experience, and location. In addition to base salary, this role is eligible for a competitive additional compensation program that is based on individual and company performance Key Responsibilities: Lead and Manage the Team : Oversee a team of data analysts and data product managers, ensuring they are empowered to deliver on the organization’s data vision. Provide leadership, mentorship, and development opportunities. Define and Execute Data Strategy : Set the vision and roadmap for the shared data platform, ensuring it supports the needs of the business and digital product teams. Align data product initiatives with broader digital strategies. Collaborate with Data Engineering Teams : Partner with data engineering teams to translate business needs into technical requirements for a scalable, secure data platform. Oversee platform enhancements and ensure alignment with best practices in data management, governance, and security. Develop Data Analytics Products: Lead the development of analytics products that provide visibility into user behaviors, product performance, and key business metrics. Drive the adoption of these products across the digital organization. Promote Data-Driven Decision Making : Partner with cross-functional teams to identify opportunities for using data insights to enhance digital product performance, improve customer experiences, and drive business outcomes. Implement Best Practices : Establish and maintain best practices for data governance, data quality, and compliance with financial services regulations. Stakeholder Management : Engage with senior leaders and key stakeholders to communicate progress, address challenges, and align on strategic priorities for data initiatives. Product Lifecycle Management : Oversee the lifecycle of data products from ideation to execution, ensuring that they meet business goals and deliver value. Qualifications: 7+ years of experience in data product management, data analytics, or a similar role, with at least 3 years in a leadership or management position. Proven experience in building and scaling data platforms and delivering complex data products in a financial services or digital product environment. Expertise in digital, customer journey, and cross-channel analytics Expertise in modern data platforms, cloud-based technologies (Snowflake, AWS, Azure, GCP), and data tools such as data lakes, ETL pipelines, and data warehouses. Demonstrated ability to lead teams, with experience managing managers and mentoring data professionals. Strong analytical skills with experience interpreting large datasets to inform business decisions and product strategies. Excellent communication skills with a proven ability to influence stakeholders, including senior leadership. Familiarity with Agile development methodologies and working in a fast-paced product development environment. Knowledge of data governance, financial services regulations, and compliance best practices. Experience with digital analytics platforms (e.g., Heap, Google Analytics, Adobe Analytics) and visualization tools (e.g., Tableau, Power BI). Preferred Skills: Master’s degree in business, data science, or a related field is a plus. Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with: Health and wellbeing options for team members and their dependents Up to 4% matching 401(k) Employee Stock Purchase Plan (10% share discount) Tuition reimbursement Continuing education Bonus eligible Paid time off (15 days’ vacation per year, plus 2 personal days, prorated based on start date) Paid holidays (7 days per year, based on start date) Paid volunteer time (3 days per year, prorated based on start date) And more OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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. As a Data Scientist, Data Strategy, you will be pivotal in transforming data into actionable insights that drive business strategies and decision-making, making this a unique and exciting opportunity. Key Responsibilities Data Collection and Analysis: Gather data from various sources, using statistical methods and visualization tools to identify trends and insights. Model Development: Develop predictive models using machine learning algorithms to solve business problems. Select appropriate modeling techniques based on data characteristics and business objectives. Strategy Support and Development: Help craft data-driven strategies that align with business objectives, providing insights to support strategic decision-making. Data Quality and Governance: Maintain data accuracy and reliability, working with governance teams to uphold high-quality standards and compliance. Stakeholder Collaboration: Lead conversations with cross-functional stakeholders to understand data needs, translate them into analytical solutions, and foster effective communication. Tool and Technology Utilization: Leverage advanced analytics tools for data analysis and visualization, stay updated on emerging technologies, and provide training to teams. Performance Measurement and Optimization : Develop and track KPIs, analyze performance data, and suggest improvements to enhance business outcomes. Research and Innovation: Explore new data sources and techniques, proposing innovative solutions to leverage data for competitive advantage. Legal and Compliance: Ensure adherence to data protection regulations, identifying risks, and suggesting mitigation strategies. Communication and Problem Solving: Translate complex findings into actionable insights for stakeholders, using strategic thinking to address business challenges and opportunities. Your ability to communicate effectively and solve complex problems will be highly valued in this role. This role requires a balance of strategic data oversight and technical proficiency to ensure data initiatives are aligned with business goals and are effectively executed across the organization. Minimum Requirement Degree or equivalent and typically requires 4+ years of relevant experience. Education Bachelor’s degree in a quantitative field like Statistics, Mathematics, Computer Science, Data Science, or Economics is preferred. Critical Skills Must have 4+ years of work experience in data analysis, visualization, and/or supporting healthcare information systems. Proficiency in programming languages such as Python, R, or SQL for data analysis and modeling. Experience with business intelligence platforms like Power BI, Looker or ThoughtSpot Strong knowledge of advanced SQL and relational databases. e.g, Snowflake. Familiarity with Azure Cloud Architecture and Databricks Lakehouse architecture. Familiarity with machine learning frameworks and libraries, such as TensorFlow, scikit-learn, or Keras. Solid understanding of statistical and predictive modeling techniques. Experience in developing and validating predictive models. Ability to analyze complex datasets and derive actionable insights. Experience in applying advanced analytics in a business context to solve complex problems. Understanding of business operations and the ability to translate analytical findings into business strategies. Strong critical thinking and problem-solving abilities to tackle complex analytical challenges. Excellent communication and presentation skills. Ability to work collaboratively in a team environment. A proactive approach to staying updated on the latest trends and advancements in data analytics and machine learning. Physical Requirements General office demands Must have the ability to travel up to 10% of the time Candidates must be authorized to work in the USA. Sponsorship is not available for this role. 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 $109,900 - $183,100 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

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

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

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

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Work for the IMF. Work for the World. Job Description The Institute for Capacity Development Global Partnerships Division (ICDGP) is responsible for managing the fiduciary oversight, financial administration and accountability functions that the division handles for all externally-funded (IMF02) Capacity Development (CD) activities of the IMF, fundraising and partner relations, and partner visibility and CD communications. ICDGP has a vacancy for a contractual Data Management Officer. The selected candidate will work under the direction of the Division Chief and the Deputy Division Chief responsible for financial operations, in close collaboration with other divisional and IMF staff, to support the division's management and oversight of externally financed resources used to deliver CD through the Fund's regional capacity development centers (RCDCs), thematic funds, and bilateral arrangements. Main Duties and Responsibilities: Collect system requirements to develop and build the monitoring tools needed for data validation. In coordination with other ICDGP colleagues, upgrade the suite of reports on Partners Connect, and streamline other reporting functions. Contribute to the work on enhancing the control framework for IMF02. Lead the work on the current CD information management systems (CDIMS) to (1) adapt to ongoing business process changes, including CDMAP and (2) migrating to a new platform. Support the Division's work on developing a Client Relationship Management application to facilitate fundraising efforts. Create operational data management systems to enable effective analysis and monitoring of IMF02 data including data quality control protocols and standards for validation. Provide training to the division staff on how to use the data from various Fund systems for analysis. Identify weaknesses in practices and propose system solutions to standardize procedures and improve efficiency based on industry best practices Interact as needed with the IMF's Information Technology Department and external ITD vendors to ensure that projects are implemented in an effective manner. Qualifications: Educational development, typically acquired by the completion of an advanced university degree, or equivalent, in programming/systems, computer science, statistics, finance, mathematics, economics, or a related field is required; or a university degree, or equivalent, supplemented by a minimum of six (6) years of relevant professional experience; Alternatively, a minimum of two (2) years of relevant experience at Grade A08, or equivalent, is required. Strong background in analysis of business requirements, functional requirements, testing and user coordination to ensure smooth deployment of system changes is required. Proven experience with management information systems, financial reporting and data analytics. Proven and demonstrable knowledge and experience in data analysis and/or information management. Proven track record of effectively managing complex projects Required Skills: Proficient with MS Office Suite (Word, PowerPoint, Outlook, Excel). Familiar with PeopleSoft Financials and PeopleTools, Adobe Experience Manager (AEM), web portals and knowledge of the cloud. Familiar with interfacing applications between the Intranet and the cloud. Preferably familiar with reporting applications (Cognos, Business Objects, and/or Tableau). Strong understanding of SQL. Good understanding and exposure to data visualization and analytics tools Excellent interpersonal skills and communications skills (including the ability to articulate technical information in a concise manner to non-technical users), very strong organizational and planning skills, and drive for results. Familiarity with externally-financed CD and the Fund's CD system would be helpful. This is a one-year contractual appointment. Contractual appointments at the IMF are renewable for up to four years of cumulative contractual service, pending incumbent's performance, budget availability and continuous business need. Department: ICDGP Institute for Capacity Development Global Partnerships Division Hiring For: A09, A10, A11 The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process. Information on how to request accommodations will be provided during the application process.

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

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. ABOUT THE ROLE We are seeking a strong Senior Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization. RESPONSIBILITIES Analyze large datasets to identify trends, insights, and opportunities that drive business growth. Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions. Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions. Utilize predictive analytics and machine learning models to optimize business processes and customer engagement strategies. Conduct A/B testing and customer segmentation analysis to enhance decision-making and personalization strategies. Provide actionable insights to leadership on business performance, customer behavior, and operational trends. Ensure data integrity, accuracy, and governance across multiple data sources and platforms. Mentor junior analysts and contribute to a data-driven culture within the company. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience with data visualization tools such as Tableau, Looker, or Power BI. Expertise in business intelligence, forecasting, and performance analytics. Familiarity with machine learning techniques and predictive analytics is a plus. Strong understanding of A/B testing, customer segmentation, and retention strategies. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

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

Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. This is not the official job application; this posting is specifically for Equinix Pathways Military Program. Please note that this program is exclusively for Military Spouse Fellows or Active-duty US military personnel transitioning out of the military to civilian workforce. Equinix is the world's digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed. We are a fast-growing global company with 70+ consecutive quarters of growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of nearly 10,000 companies, including 1,800+ networks and 2,900+ cloud and IT service providers in over 26 countries spanning five continents. Are you a military service member within or nearing your 180-day window for separation from active duty? Are you a military spouse fellow wanting to engage a technology career? If this is you, then Equinix has a unique opportunity to help kick-start the next chapter in your professional life. We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities. The training will be on the cutting-edge of technology in a digital infrastructure environment supporting an initiative designed to link our nation's warfighters to the best employment opportunities available. Do you have a background in Electronics, Electrician, or HVAC and skilled Mechanical trades? This could be your next career move! In this DoD Skillbridge Program with Equinix, you will: Learn how your military experience translates into a rewarding civilian career Explore a career or industry you might want to pursue upon separation from active duty Earn real-world industry qualifications and certifications Build experience and competency in your trade/ profession with our team Expand your professional network of contacts Gain familiarity with corporate culture. Responsibilities Has a substantial understanding of the job while working on assignments that are moderately difficult requiring judgement in resolving issues or making recommendations. Focus is on moderately difficult tasks, using substantial understanding of standard operating procedure. Supports the overall team. Facility / Infrastructure Maintenance Performs moderately difficult preventative and corrective maintenance checks on-site to facility components. You will perform site inspections and monitor the building and IBX alarms Performs moderately difficult repairs, maintenance, installations, and on-site inspections to facility systems. Supports energy efficiency measures Monitors the Building Monitoring System (BMS) and resolves moderately difficult alarm issues that require judgement in resolving while following standard operating procedures Operates and maintains plumbing, fire suppression, and safety systems Operates critical infrastructures under the supervision of more senior technical staff Normally receives little instruction on daily work, general instructions on newly introduced assignments Customer Operations Technician Queue Management & Reporting Prioritize and manage service requests to meet deadlines Maintain detailed records and audit reports Installations Rack and stack equipment in data centers Perform fiber terminations using a fusion splicer Set up telecom cabinets, fiber trays, and cage wiring. Troubleshoot fiber and copper circuits Support standard cross-connect work orders Other troubleshooting procedures Site Administration & Incident Support Performs moderately difficult site logs for permits, such as Maintenance Operation Protocol (MOPs) and scripts Identifies Single Points of Failure (SPOFs) and makes recommendations Responds to all moderately difficult on-site incidents, including failures, problems and delays Uses substantial understanding in following operating procedures to support on-site administration Work Orders & Additional Projects Completes routine work requests and circuit installations Troubleshoots and maintains office equipment (if necessary); supports auxiliary equipment and machines with problem-solving and repairs to avoid/minimize downtime Makes minor changes to mechanical, electrical, and specialized systems, as directed Carries out infrastructure projects Collaboration Collaborates with others to resolve moderately difficult facility incidents Effectively collaborates within the department; may mentor team members on general maintenance activities Provides stakeholders of inventory needs in order to maintain optimal stock levels of critical parts and equipment May recommend infrastructure projects Qualifications Must meet all eligibility requirements outlined in DOD Instruction 1322.29 and NAVADMIN 222/15. Required Technical associates degree, military-technical school, or civilian technical trade school completion Education level: Working on bachelor's degree or relevant experience with 1-4 years in Mechanical Engineering or related field. Comprehensive knowledge of critical infrastructure i.e., UPS, generator, BMS, chillers, life safety systems Coursework in HVAC design or heat transfer and thermodynamics Knowledge of HVAC testing and balancing methodologies Knowledge of IT hardware and other data center operations functions Good time management habits, ability to multi-task, to sustain focus on long tasks. Ability to communicate thoughts and technical ideas. Attitude of taking initiative, enthusiasm, eagerness to learn, teamwork, creativity. Ability to lift 50 lbs The ability to prioritize effectively, balance assigned work and exceptional organization skills required for our constantly evolving environments. Strong interpersonal and communication skills essential for team-based work assignments. Presentation skills with colleagues and clients of all levels Skillbridge Internship positions are open to active duty and/or transitioning military members. Compensation or pay for this role is made through the service member's current enlistment contract based on pay guidelines set by the Department of Defense (DoD) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. Equinix is an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. (Equal Opportunity / AA / Disabled / Veterans Employer) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.