sr. product engineer

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al/ml evaluation engineer

al/ml technical lead

al ml technical lead

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in a technical field, or equivalent practical experience.
<br>
</li><li>2 years of experience in program management.</li>
<li>Experience with data center infrastructure like power, networking, and cooling.</li>
<li>Experience with AutoCAD or Revit.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of experience managing cross-functional or cross-team projects.</li>
<li>Experience with colocation capacity planning, including the use and automation of planning and optimization tools.</li>
<li>Experience with new product introduction (NPI) process and product life cycle (PLC) as related to hardware products for machine learning and high-performance computing.</li>
<li>Excellent program management skills, with the ability to coordinate deployments and roadmaps across multiple stakeholders.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
A problem isn&rsquo;t truly solved until it&rsquo;s solved for all. That&rsquo;s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you&rsquo;ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You&rsquo;ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
</p><p>In this role, you will help the team plan the future of Google&rsquo;s ML and accelerator deployments. As the Technical Program Manager, you will help with new product enablement focused on the deployability of new products and the server floor designs required to facilitate them.</p><p>
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits<br>
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Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Support the delivery of projects, managing data center constraints (e.g., power, space, cooling, operations, and network) in colocation data center deployments.</li>
<li>Create and manage physical layouts and standards, including the deployment impact and feasibility of NPIs. Define and manage tooling requirements for planning and delivery.</li>
<li>Own and support relationships between cross-functional teams, track deployment workflows with partner teams, and raise issues to ensure on-time follow-through.</li>
<li>Influence the development of new products (NPI) and colocation server floor design decisions, focused particularly on upcoming fleetwide transitions in the ML and accelerators space.
</li><li>Drive the development of new tools and decision-making frameworks for optimizing fleet life-cycle.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Program Manager II, Capacity Constraints Management, Cloud Infrastructure

Varonis Systems

<p></p><div><div><p><b>Job Description</b></p><div></div><div>
Technical Account Managers are the primary contact for Varonis customers and the first line of defense for data. All Varonis employees are Customer Success and Technical Account Managers are the tip of the spear. Technical Account Managers provide onboarding and proactive on-going value and support to Varonis customers, responsible for driving measurable security outcomes across cloud data, modern data platforms, and the AI systems that depend on them. TAMs are accountable for translating Varonis capabilities into reduced risk, controlled access, and safe AI adoption across customer environments. To be a successful Technical Account Manager you must be a motivated self-starter, be committed to on-going self-development and education and possess strong technical acumen and customer service skills.</div><p><b>
Responsibilities</b></p><ul><li>
Onboard Customers to Varonis platforms and deliver on-going value and support</li><li>
Lead customers through discovery, remediation, alerting, and governance of sensitive data to ensure all data is protected from insider threats, cyber-attacks, and policy violations</li><li>
Help customers identify and mitigate risks related to AI systems, including copilots, LLMs, and shadow AI usage</li><li>
Drive measurable reduction in data exposure across cloud, SaaS, and data platforms
</li><li>Ensure Customer success through frequent proactive health checks, hands-on product usage and training, and development and sharing of best practices</li><li>
Prepare and deliver quarterly business reviews, data risk assessments, and AI risk posture discussions</li><li>
Alongside Sales, identify and champion upsell opportunities</li><li>
Learn new Varonis products as they are developed and released and develop expertise in your client&rsquo;s unique security ecosystem(s)</li><li>
Help Account Managers and Sales Engineers identify renewal risk and collaborate to remediate and ensure successful renewals
</li><li>Serve as primary technical contact and augment our support and engineering teams</li><li>
Advocate on behalf of customers with appropriate internal Varonis teams to ensure customer feedback is adequately documented and assessed by appropriate parties
</li><li>Engage with customers at all levels of their organization, including but not limited to: Infrastructure, AI/ML, Cloud, Privacy &amp; Compliance, Security, Incident Response, and the C-suite.</li><li>
Identify, research, maintain control, and remediate customers&rsquo; technical issues in a timely manner. Follow up promptly with recommendations and action plans and engage appropriate internal teams as required.
</li><li>Escalate customer issues to management when appropriate
</li><li>Create knowledge base content to capture new learning for customer and internal reuse.
</li></ul><p><b>Requirements</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent experience</li><li>
4+ Years working in a customer facing role at a Cloud Security, Cyber Security, or Data Security &amp; Privacy company
</li><li>Experience working with enterprise SaaS/IaaS/PaaS environments (AWS, Azure, GCP, Salesforce, M365, etc.)</li><li>
Knowledge of enterprise IT, cloud, identity and access models (EntraID/IAM), and security technologies
</li><li>Understanding of data classification, governance, and DSPM concepts</li><li>
Familiarity with AI/LLM data risks and governance considerations (preferred)</li><li>
Outstanding customer service skills and ability to quickly establish technical credibility and relationships with customers</li><li>
Excellent communication skills with the ability to engage technical and executive audiences</li><li>
Proven problem-solving abilities</li><li>
Commitment to customer success</li><li>
Proven success in contributing to a team-oriented environment.</li><li>
Sales oriented.</li><li>
Proven ability to work creatively and analytically in a problem-solving environment.</li><li>
Excellent communication (written and oral) and interpersonal skills.</li></ul><div></div><div><i><br>
</i></div><div><i>
We invite you to check out our Instagram Page to gain further insight into the Varonis culture!</i></div><div><i>
@VaronisLife</i></div><div><i>
Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics</i></div></div><div>
</div><div><b>
#LI-Remote</b></div></div>

Technical Account Manager

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Location : Cary, NC (Onsite/Hybrid from Day 1)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><p>We are seeking an experienced <b>Data Scientist</b> to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 85786- 97273</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p></p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist

4P Consulting Inc.

<div><div><p><b>Position: Technical Product Manager III
</b></p><p><b>Location: Atlanta, GA
</b></p><p><b>Duration: 4 Months
</b><br>
<b>Client: Southern Company Services<br>
</b><br>
<br>
</p><p></p><p>Southern Company Services is seeking an experienced Technical Product Manager III to lead cross-functional technology initiatives from concept through deployment. This role requires strong technical acumen, product ownership experience, and the ability to translate business needs into actionable product requirements and technical deliverables.
</p><p></p><p>The ideal candidate will be comfortable working closely with engineering, architecture, and delivery teams while managing product backlogs, priorities, dependencies, and implementation timelines.
</p><p></p><p><b>Key Responsibilities
</b></p><p>&middot; Lead technology products and implementations from discovery through deployment.
</p><p>&middot; Gather business requirements and translate them into product features, user stories, acceptance criteria, and technical deliverables.
</p><p>&middot; Manage product roadmaps, priorities, backlogs, dependencies, and release plans.
</p><p>&middot; Partner with engineering teams, architects, business leaders, and executive stakeholders.
</p><p>&middot; Facilitate process discovery, future-state design, and business transformation workshops.
</p><p>&middot; Support Agile ceremonies, sprint planning, backlog refinement, and delivery tracking.
</p><p>&middot; Manage multiple workstreams and resolve delivery risks, issues, and dependencies.
</p><p>&middot; Use data, user feedback, and experimentation to guide product decisions.
</p><p>&middot; Promote user-centered design, process optimization, and continuous improvement.
</p><p>&middot; Ensure solutions align with enterprise security, governance, compliance, and architecture standards.
</p><p></p><p><b>Required Qualifications
</b></p><p>&middot; 5+ years of experience as a Product Manager, Product Owner, Business Analyst, Scrum Master, Delivery Lead, or similar role.
</p><p>&middot; Experience leading cross-functional technology implementations.
</p><p>&middot; Strong knowledge of Agile, Scrum, product backlog management, and software delivery.
</p><p>&middot; Experience translating business requirements into technical solutions.
</p><p>&middot; Strong organizational, facilitation, communication, and stakeholder-management skills.
</p><p>&middot; Ability to manage multiple priorities, workstreams, and delivery timelines.
</p><p>&middot; Ability to influence teams and drive results without direct authority.
</p><p></p><p><b>Preferred Qualifications
</b></p><p>&middot; Experience delivering AI, Generative AI, machine learning, automation, or data and analytics solutions.
</p><p>&middot; Familiarity with Azure, Google Cloud Platform, or related cloud and AI technology stacks.
</p><p>&middot; Scrum Master or Product Owner certification, such as CSM, PSM, CSPO, or PSPO.
</p><p>&middot; Experience working within enterprise governance, security, and compliance frameworks.
</p><p>&middot; Knowledge of design thinking, process optimization, and business-process reengineering.
</p><p>&middot; Utility, energy, or regulated-industry experience is preferred.</p></div></div><p></p>

Technical Product Manager III 4P/787

The Home Depot

<p>Position Purpose:<br/></p><p>Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis.<br/></p><p>Senior Decision Analysts assist in the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical tools, and collaborating with cross- functional teams to deliver high quality analytical solutions for The Home Depot. The Senior Decision Analyst monitors transformation of data and works with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights for business clients, internal teams and key decision makers.<br/></p><p>The role will be enabling scaling of AB testing platform so they must have that prior experience. Solid understanding of statistics and methodologies, familiarity with Central Limit Theorem and Hypothesis Testing is ideal (z-test, t-test, chi sq testing, ANOVA etc.,) The senior analyst will be regularly exploring new methods such as Non-Parametric Testing, bootstrap methods that elevate our platform. Explore new technical landscape in the world of Experimentation and bring it to the fold for Home Depot<br/></p><p>Key Responsibilities:<br/></p><p>65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.<br/>10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.<br/>5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues.<br/>15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.<br/>5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>This position reports to the Manager<br/>This position has 0 direct reports<br/></p><p>Travel Requirements:<br/></p><p>No travel required.<br/></p><p>Physical Requirements:<br/></p><p>Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be 18 years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience<br/>Understanding of the central limit theorem and hypothesis testing.<br/>6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting<br/>Demonstrated expertise on data analysis and data visualization<br/>Demonstrated expertise on how to translate analysis into effective presentations<br/>Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems<br/>Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools<br/>Working knowledge of Microsoft Excel and Power Point<br/>Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations<br/>Produce deep, statistical analysis in service of predictive insights<br/>Ability to partner with requesting organizations to build KPI frameworks<br/>Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML<br/>Ability to visualize data using Tableau<br/>Experience managing multiple projects and working in a fast-paced environment<br/>Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.<br/>Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.<br/>Superior interpersonal skills and ability to collaborate actively and work in a team environment.<br/>Ability to quickly learn and adapt to new technologies, tools, and techniques.<br/></p><p>Minimum Education:<br/></p><p>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Preferred Education:<br/></p><p>The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Minimum Years of Work Experience:<br/></p><p>5<br/></p><p>Preferred Years of Work Experience:<br/></p><p>6<br/></p><p>Minimum Leadership Experience:<br/></p><p>No previous leadership experience<br/></p><p>Preferred Leadership Experience:<br/></p><p>No previous leadership experience<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>Action Oriented<br/>Collaborates<br/>Drives Engagement<br/>Communicates Effectively<br/>Customer Focus<br/>Drives Results<br/>Manages Conflict<br/></p>

Sr. Decision Analyst, Experimentation

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Vice President - Global Technology Account Management, Open Finance Solutions<p></p>
Overview<br>
The Open Finance Client Value Delivery and Operations team is looking for a Vice President, Technology Account Management (TAM) to lead our function globally. This role leads the technical relationship with our clients post go-live. As the trusted technical advisor within the broader account team, the TAM function is responsible for the health of our clients' integrations, the depth of their platform adoption, and the technical strategy that lets them get the most from Mastercard Open Finance.<br>
<br>
The VP will lead a distributed team of regional TAM leaders, set the global standard for how we engage clients technically, and ensure that the client perspective carries weight in how the platform evolves.<br>
<br>
The ideal candidate is technically fluent, commercially minded, energized by building at scale, and passionate about the client experience.<br>
<br>
Role<br>
In this client-facing leadership position, you will:<br>
<ul><li>Own the global Technology Account Management operating model, ensuring a consistent, high-quality client experience across all markets</li><li>Lead and develop a team of regional TAM leaders, building deep technical and client advisory capability across the function</li><li>Drive measurable client outcomes across product adoption, integration health, and retention through a segmented, scalable coverage model</li><li>Serve as a senior technical partner to our most strategic clients, and as an executive point of contact on complex initiatives</li><li>Partner closely with Product and Engineering to bring client insight into platform strategy and influence the roadmap</li><li>Build the enablement, knowledge, and automation foundation that allows the function to scale alongside the business</li></ul><br>
All About You<br>
The ideal candidate for this position should:<br>
<ul><li>Have advanced experience leading technical, client-facing post-sales teams at scale</li><li>Bring advanced expertise in APIs, data connectivity, cloud infrastructure, and technical SLAs, with the depth to shape architecture decisions and set technical direction with client engineering and technology leaders
</li><li>Have a proven track record of driving product adoption and integration health across a client portfolio
</li><li>Have a demonstrated record of designing and scaling operating models, including methodology, measurement, and team capability
</li><li>Have advanced experience influencing product direction through structured, well-evidenced client insight
</li><li>Be a versatile communicator, able to translate technical complexity into commercial value and move between a client CTO, an internal engineering lead, and an executive audience without losing precision</li></ul><br>
Additional capabilities that would be valuable:<br>
<ul><li>Experience in open banking, open finance, payments, or financial data infrastructure</li><li>Experience applying automation or AI to scale technical account management and support functions</li><li>Experience leading globally distributed teams</li></ul><p></p>
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.<p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul><p></p>
In line with Mastercard&rsquo;s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.<p></p><p><b>
Pay Ranges</b></p>
O'Fallon, Missouri: $181,000 - $299,000 USD<p></p>
Arlington, Virginia: $208,000 - $344,000 USD<p></p>
Atlanta, Georgia: $181,000 - $299,000 USD<p></p>
Boston, Massachusetts: $208,000 - $344,000 USD<p></p>
Purchase, New York: $208,000 - $344,000 USD<p></p>
Salt Lake City, Utah: $181,000 - $299,000 USD<p></p>
San Francisco: $181,000 - $299,000 USD<p></p>
Seattle, Washington: $208,000 - $344,000 USD</div><p></p>

Vice President - Global Technology Account Management, Open Finance Solutions

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Data Engineer<p></p><p><b>
Job Description Summary</b></p>
Key Objectives:<br>
<br>
Supports the development, optimization, and maintenance of Cushman &amp; Wakefield&rsquo;s commercial real estate (CRE) forecasting infrastructure across the Americas. This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems.<br>
<br>
Operate as a self-sufficient data practitioner, capable of independently delivering data solutions or working side-by-side with technology teams to ensure alignment and production readiness of QIG capabilities on an iterative basis.<br>
<br>
Works closely with senior economists, analytics leads, and technical teams to deliver high-quality, production-ready data solutions that underpin the firm&rsquo;s House View and related analytical products.<p><b>
Job Description</b></p><p><b>
Time Series Data Engineering, Maintenance &amp; Automation (40%)</b></p><ul><li>Prototype, build and maintain automated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in forecasting models.</li><li>Ensure data integrity and consistency across all QIG&rsquo;s inputs and outputs through rigorous validation and quality control procedures. Design and enforce structured data interfaces and integration patterns to ensure consistent ingestion and interoperability across internal and external data sources.</li><li>Work closely with cross-functional partners to define, refine, and validate data quality rules, using both automated checks and hands-on analysis to ensure outputs meet analytical expectations.</li><li>Performs exploratory data analysis and profiling on raw and processed datasets to validate pipeline outputs and identify anomalies or inconsistencies.</li><li>Partner with PRI (Property Research &amp; Intelligence), TDS (Technology Data Solutions), GIS (Geographic Information System) and forecasting team to ensure governance of time series data, as revisions to geography-based competitive sets can occur.</li><li>Collaborate with PRI, TDS/GIS and other QIG teams to integrate internal and external data sources into infrastructure deployed by QIG teams.</li><li>Ensure Global Think Tank, Americas Research and other stakeholders have access to relevant time series (and forecast) data via various tools and capabilities in coordination with QIG leads. Work iteratively with partners to refine data outputs, validate usability, and adjust underlying pipelines or transformations as needed to meet evolving analytical requirements.</li></ul><p></p><p><b>
Technical Support (40%)</b></p><ul><li>Create and maintain documentation of any synthetic data model architecture, data flows, and diagnostic procedures. Have strong grasp of field-level data lineage and traceability to support transparency, reproducibility, and downstream analytical confidence.</li><li>Partner with Head of Data Science &amp; Geospatial Analytics to build state-of-the-art, novel real estate dataset, with additional relevant data geospatially integrated (e.g., demographics, socioeconomic data, zoning or flood maps, climate or walk score information); produce detailed specifications that guide engineering implementation.</li><li>Develop internal documentation and process automation, and serve as expert on the integration, application and processing of internal data, 3rd party vendor data and other public data (e.g., Census TIGER, IPUMS) as appropriate with QIG leads.</li><li>Advise, integrate and execute normalization methods with internal and external partners, co-developing approaches with technology teams when necessary and validating outputs through hands-on implementation and analysis.</li><li>Identify new data use cases for proprietary data, ensure appropriate cleaning and normalization techniques so data can be used in statistical, econometric and other commercial analytics applications.</li></ul><p></p><p><b>
Infrastructure Enhancement &amp; Collaboration (20%)</b></p><ul><li>Contribute to evolution of the QIG data infrastructure by identifying opportunities for efficiency gains, automation, and scalability.</li><li>Support the integration of emerging technologies (e.g., ML/AI, advanced lakehouse patterns) into data workflows under guidance from senior team members through hands-on experimentation, prototyping, or coordination with TDS as needed.</li><li>Coordinate with TDS and PRI on internal data and technology initiatives; contributing hands-on development or feedback where appropriate to scale, optimize, and productionize solutions in support of QIG capabilities.</li><li>Serve as the key liaison for all external data dependencies; monitor the evolution of 3rd party data products and capabilities, assess their fit against QIG analytical requirements, and produce intake specifications when new sources are approved for integration. As needed, partner with technology teams to evaluate and integrate internally managed data sources.</li><li>When/where appropriate, maintain a living requirements register and change log that tracks open data engineering requests, their status in the TDS backlog, acceptance criteria, and QIG sign-off outcomes.</li></ul><p></p><p><b>
Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Engineering, Data Science, Computer Science, Statistics, or a related technical field. Advanced degree a plus.</li><li>5-7 years of experience in data engineering or a hybrid analytical/engineering role, preferably in a forecasting or analytics/production environment. Real estate experience a plus.</li><li>Strong proficiency in Python/R, SQL, Databricks, Delta Lake and data pipeline frameworks (e.g., medallion architecture).</li><li>Experience with time series data, econometric / data science modeling workflows, and automation tools.</li><li>Familiarity with cloud platforms (e.g., Azure, AWS) and version control systems.</li><li>Demonstrated ability to operate in a collaborative, cross-functional environment, contributing both independently and alongside engineering and analytical teams to deliver data solutions.</li><li>Comfort working in iterative development settings, balancing hands-on execution with stakeholder collaboration and continuous feedback.</li><li>Strong attention to detail and commitment to data quality.</li><li>Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when appropriate).</li><li>Excellent documentation and communication skills for technical audiences. Ability to participate meaningfully in engineering discussions.</li><li>Exposure to geospatial data concepts and CRE or macroeconomic datasets.</li><li>Experience working with agile/scrum delivery models in a data and analytics context.</li></ul><br>
<p></p>
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.<br>
<p></p>
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&rsquo;s experience and qualifications.<br>
<p></p>
The company will not pay less than minimum wage for this role.<br>
<p></p>
The compensation for the position is: $ 114,750.00 - $135,000.00<p></p>
Cushman &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.<p></p><p>
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 <b>1-888-365-5406</b> or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.</p><p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Data Engineer

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