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Job TitleGlobal Data Management and Governance Director - AdvisoryJob Description SummaryAs the Global Director of Data Management, Governance, and Master Data Management (MDM), you will lead Cushman &amp; Wakefield’s enterprise data governance strategy at the intersection of business and technology. This role is responsible not only for designing and implementing a comprehensive governance framework, but also for maintaining and evolving it to meet the needs of a dynamic, data-driven organization.Job DescriptionYou will oversee the quality, integrity, and usability of critical data assets—particularly property and client data—while leading a global Center of Excellence (COE) for data governance. This position blends strategic vision with hands-on execution, requiring deep technical expertise, strong leadership, and the ability to collaborate across business lines and technology teams. You’ll be instrumental in embedding governance into the organization’s data culture and enabling scalable, intelligent data practices that support global business objectives.---Position OverviewThe Global Director of Data Management, Governance, and Master Data Management (MDM) will operate at the intersection of business and technology, responsible for developing, implementing, and maintaining a comprehensive data governance strategy. This role ensures adherence to governance frameworks, policies, and standards, while overseeing the ongoing quality, integrity, and usability of data assets across the organization. The director will lead the Global Data Governance Center of Excellence (COE) and serve as the primary point of contact for enterprise data management, quality, and governance.This is a senior-level role that blends strategic leadership with hands-on execution. It requires a strong foundation in data governance and technical acumen, along with the ability to build relationships and collaborate across multiple departments. In addition to leading a team of professionals, the role is deeply embedded in cross-functional initiatives that shape how data is managed and leveraged across the organization.---Key Responsibilities1. Platform Ownership· Lead the implementation and scaling of MDM and governance tools (e.g., Profisee, Purview, Azure, Salesforce, and other relevant platforms).· Own the global MDM strategy for property and client data domains, ensuring consistency across various ecosystems.2. Data Quality &amp; Compliance· Define and enforce global standards for data accuracy, privacy, and lineage.· Implement robust metadata management practices to enhance data discovery, understanding, and utilization.3. Business Partnership· Collaborate with Advisory, Brokerage, and Investor teams to align data strategy with business goals.· Partner with Product and Data Architects to implement data governance, security, and privacy frameworks.4. Team Leadership· Build and mentor a global team of data stewards and governance analysts.· Develop effective communication and training programs to enhance data literacy and compliance.5. Vendor &amp; External Data Strategy· Manage third-party data subscriptions and ensure integration with internal systems.· Negotiate contracts with data vendors to secure favorable terms and ensure compliance with data governance policies.---Skills and Experience Required· 10+ years in data governance, with deep experience in MDM, metadata management, and data quality frameworks.· Hands-on experience with Microsoft Purview, Profisee, Azure Data Lake, Salesforce, and other relevant platforms.· Proven ability to lead global teams and influence cross-functional stakeholders.· Strong analytical, problem-solving, and communication skills.---Why Join UsCushman &amp; Wakefield (NYSE: CWK) is a leading global commercial real estate services firm for property owners and occupiers with approximately 52,000 employees in nearly 400 offices and 60 countries. In 2023, the firm reported revenue of $9.5 billion across its core services of property, facilities and project management, leasing, capital markets, and valuation and other services.We are proud of our award-winning culture and our commitment to Diversity, Equity, and Inclusion (DEI), sustainability, and innovation. This is your opportunity to shape the future of data at one of the world’s most respected real estate firms. You’ll work directly with senior leadership, own enterprise-wide platforms, and drive innovation in how we manage and use data to serve our clients. Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications. The company will not pay less than minimum wage for this role. The compensation for the position is: $135,091.93 - $158,931.68Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email <a href="#">HRServices@cushwake.com</a>. Please refer to the job title and job location when you contact us.INCO: “Cushman &amp; Wakefield”

Cushman & Wakefield

Global Data Management and Governance Director - Advisory

Outlier

Operations Expert | AI Training (MBA)

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Detailed Job Description Bank of America’s Global Risk Management business is looking for a Quantitative Financial Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications. Key responsibilities include: <ul> <li>Understanding financial data: schemas, flow, size, data issues, data controls, etc. </li> <li>Building performant big data pipelines that are the backbone of building large scale surveillance systems.</li> <li>Building surveillance models using sophisticated modeling techniques including machine learning and AI.</li> <li>Testing the efficacy of surveillances using advanced modeling techniques.</li> </ul> Required Skills: <ul> <li>Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.</li> <li>At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> <li> Ability to analyze and find interesting patterns in data with at least one of the following:<ul> <li>Experience in implementing distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc. </li> <li>Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> </ul> </li> <li>Experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.</li> <li>Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences.</li> <li>Ability to effectively present findings, data, and conclusions to senior leaders.</li> <li>Ability to operate independently with minimal supervision to deliver sub tasks as well as ability to participate in group settings.</li> </ul> Preferred skills: <ul> <li>Experience in machine learning / AI models</li> <li>Experience with large scale financial data sets</li> <li>Experience to code independently with minimal oversight in at least one programming language like Python or Java.</li> </ul> Minimum Education Requirement: Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines. Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Quantitative Finance Analyst - Markets Behavior Analytics Group

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.We’re looking for an intelligent, driven professional to join our Quantitative Research team. Quantitative Research is a part of the broader Quantitative Markets team, which is responsible for structuring and pricing Affirm’s debt funding deals and researching and building data-driven models to analyze and predict the performance of Affirm’s consumer loans. In this role, you will be primarily focused on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models. Over time, you would proactively engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders.The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools, as well as interpersonal skills to work cross-functionally and drive forward recommendations. This is an individual contributor position. <h3> What you’ll do</h3> <ul> <li> Architect, build, refine and increase automation and research infrastructure for modeling the performance of existing collateral and simulation frameworks for future loan originations </li> <li> Collaborate with platform (Machine Learning and Engineering) teams to implement framework for automating and presenting analytics, reports, and monitoring </li> <li> Collaborate with firm-wide analytics teams to deliver analyses and tools to users across the firm </li> <li> Review implementation of models focusing on requirement verification and code quality. Conduct code review for different members of the team. </li> </ul> <h3>What we look for</h3> <ul> <li> Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline </li> <li> 3-7 years of professional experience developing quantitative infrastructure tools and platforms </li> <li> Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms </li> <li> Analyze unique business operational requirements and conduct research in order to design appropriate technical solutions to accommodate those functional needs </li> <li> Ability to contribute to the analytics, research, and model development process </li> <li> Curiosity to learn about data, models and algorithms and proven track record in analytical and problem solving skills </li> <li> Ability to develop strong relationships and work across all organizational levels </li> <li> Desire to understand the broader context of business decisions </li> <li> Github experience preferred. Existing github presence a plus </li> </ul> Pay Grade - Q Equity Grade - 14 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $180000 - $230000 USA base pay range (all other U.S. states) per year: $160000 - $210000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: <ul> <li>Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents </li> <li>Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses</li> <li>Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge</li> <li>ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount</li> </ul> We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's <a href="https://www.affirm.com/global-candidate-privacy-notice" target="_blank">Global Candidate Privacy Notice</a> and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm

Quantitative Analytics Lead

Bring Your Voice to AI Training - Chinese

<h1>Enterprise Applications - Senior Data Engineer 134-2001</h1> Tulsa, OK, USA Req #824 Tuesday, May 27, 2025 JOB SUMMARY: The Senior Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection across organizational teams. The Sr. Data Engineer will support our software engineers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This position is also expected to provide updates and guidance on data engineering related projects to the Data Governance Committee. KEY RESPONSIBILITIES: <ul> <li> Create and maintain optimal data pipeline architectureto support our next generation of products and data initiatives. </li> <li> Assemble large, complex data sets that meet functional business requirements. </li> <li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.</li> <li>Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Oracle, SQL and Azure.</li> <li>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.</li> <li>Provide guidance to other Data Engineers on the team for the purposes of training</li> <li>Performs other duties as required.</li> </ul> QUALIFICATIONS: <ul> <li>Build processes supporting data transformation, data structures, metadata, dependency and workload management.</li> <li>A successful history of manipulating, processing and extracting value from large disconnected datasets.</li> <li>Strong project management and organizational skills.</li> <li>Ability to work both independently and as a team on multiple projects simultaneously.</li> <li>Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.</li> </ul> EDUCATION/EXPERIENCE: <ul> <li>College degree or equivalent experience required.</li> <li>Minimum six years of related experience developing data pipelines.</li> <li>Minimum six years supporting data warehouses.</li> <li>Demonstrated experience preparing analytical reports and developing data models.</li> <li>Project management skills required.</li> <li>Willingness to work in a high-tech, continually evolving, innovative environment.</li> </ul> CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin <h2 id="otherDetailsHeader">Other details</h2> <ul> <li> Job Family Commercial </li> <li> Pay Type Salary </li> </ul> <a href="#"> Apply Now </a>

CommunityCare

Enterprise Applications - Senior Data Engineer 134-2001

AI Training for Software Engineering

AI Training for Business to Consumer Digital Domain

<h1>Corporate Data - Health Data Analyst 133-2004</h1> Tulsa, OK, USA Req #835 Wednesday, May 28, 2025 JOB SUMMARY: The Analyst provides analytical support for all departments, including analysis, pricing, capitation, network and provider specific reporting. Analytical support includes creating and executing beginner and intermediate level reports and programs and programming modifications to previously written reports. The Analyst will collaborate with key stakeholders and determine the needed result including any special specifications. The Analyst will work with several databases to pull and integrate data, statistical analysis and data modeling. KEY RESPONSIBILITIES: <ul> <li>Execute, write, test, validate, analyze and distribute reports. Determine appropriate approach and tools needed to complete project in an efficient and timely manner. Collaborate with key stakeholders and senior analysts. </li> <li>Determine, write and present report results with key findings and trends to appropriate stakeholders.</li> <li>Complete multiple concurrent ad-hoc analyses, provide corresponding reports based on customer specifications, determine and communicate analytical conclusions and recommendations. </li> <li>Develop beginner to intermediate level reports and ad-hoc analysis based on specifications outlined by department management. Automate such reports and ensure that they are performed and delivered on schedule. </li> <li>Perform tasks related to maintenance of Departmental Data Warehouse and its documentation.</li> <li>Perform other duties as assigned.</li> </ul> QUALIFICATIONS: <ul> <li>Ability to apply advanced mathematical and statistical techniques and principles into the analysis of health-related data.</li> <li>Possess strong oral and written communication skills with the ability to communicate results in a clear and concise manner.</li> <li>Ability to converse and write fluently in English.</li> <li>Successful completion of Health Care Sanctions background check.</li> <li>Proficient in Microsoft Office applications.</li> </ul> EDUCATION/EXPERIENCE: <ul> <li>Bachelor’s degree Required. Mathematics, Statistics, Economics, Actuarial Science or other quantitative discipline preferred.</li> <li>Demonstrated use of analytical software. SAS or SQL preferred.</li> <li>Experience in Power BI, Tableau or similar software preferred.1-2 years of related experience preferred.</li> </ul> CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin <h2 id="otherDetailsHeader">Other details</h2> <ul> <li> Job Family Commercial </li> <li> Pay Type Salary </li> <li> Employment Indicator Seasonal </li> </ul> <a href="#"> Apply Now </a>

Corporate Data - Health Data Analyst 133-2004

Coding Expertise for AI Training

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