senior data scientist

The New York Times

<div><div><div><div><div><div><p><b>The </b><b>mission</b><b> of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.</b></p>
</div>
</div></div></div></div><p><b>About the Role, Mission or Department Overview</b></p>
<p>
The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products &amp; Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.</p><br>
<p></p>
<p>
You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><p>You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.</p>
</li>
<li><p>You will fine-tune and evaluate language models for custom use cases and content enrichment.</p>
</li>
<li><p>You will contribute to shared practices around evaluation, responsible A.I. use, and what &quot;good&quot; is inside an organization where judgment and independence are important</p>
</li>
<li><p>You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs</p>
</li>
<li><p>You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches</p>
</li>
<li><p>You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups</p>
</li>
<li><p>Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.</p></li></ul><br>
<p>
</p><p><b>Basic Qualifications:</b></p>
<ul>
<li><p>PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline</p>
</li>
<li><p>2+ years experience with open source machine learning or statistical analysis tools</p>
</li>
<li><p>2+ years coding experience in Python</p>
</li>
<li><p>2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis</p>
</li>
<li><p>1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow</p></li></ul><br>
<p>
</p><p><b>Preferred Qualifications:</b></p>
<ul>
<li><p>1+ years of experience with information retrieval or search systems</p>
</li>
<li><p>1+ years of experience translating ambiguous business questions into machine learning problems</p>
</li>
<li><p>1+ years of experience building data products, either internal or consumer-facing</p>
</li>
</ul><p>REQ-020337</p><p></p><div><p><br>
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.</p>
<p>
For roles outside of the U.S., information on benefits will be provided during the interview process.</p>
<p>
We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.</p>
<p>
If you're an Engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.</p>
<p>
The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.</p>
<p>
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here.</p>
<p>
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.</p>
<p>
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable &quot;Fair Chance&quot; laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.</p>
<p>
For information about The New York Times' privacy practices for job applicants click here.</p>
<p>
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.</p>
<p>
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.</p></div></div><p></p>

Machine Learning Scientist, New AI Products and Platforms

Aircall

<p></p><div><div><p><div><div><div><b>New York Office</b></div><div><b>Engineering &ndash; 13008 - Data /</b></div><div><b>Permanent Full Time Employee /</b></div><div><b>Hybrid</b></div></div></div><p>
</p></p></div><div><div><div>
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.</div>
<div></div>
<div>Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.</div>
<div></div>
<div>Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.</div>
<div>At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.</div>
<div></div>
<div><b>How we work at Aircall: </b>We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.</div><div></div><div><br>
<div><b>
About the role
</b></div><div>The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.</div>
<div></div>
<div>In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Your missions @ Aircall:</b></h3><div><div><div>
<ul><li>Partner with GTM stakeholders to translate business questions into reliable, scalable data products.</li>
<li>Provide actionable insights and compelling narratives to influence major decisions at the C-level.</li>
<li>Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self-service analytics GTM teams rely on every day.</li>
<li>Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>A little more about you:</b></h3><div><div><div>
<ul><li>2+ years of hands-on experience in a high growth environment</li>
<li>Proficiency in SQL for deriving insights</li>
<li>Proficiency in Python</li>
<li>Hands-on Looker/LookML experience</li>
<li>Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels</li>
<li>You have an insatiable curiosity and are biased toward action</li>
</ul></div></div></div></div></div><div><div>$140,000 - $180,000 a year</div><div>
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.</div></div><div><div><b>
Why join us?</b></div>
<div></div>
<div>   Key moment to join Aircall in terms of growth and opportunities</div>
<ul><li>️ Our people matter, work-life balance is important at Aircall</li></ul>
<div>   Fast-learning environment, entrepreneurial and strong team spirit</div>
<div>   45+ Nationalities: cosmopolite &amp; multi-cultural mindset</div>
<div>   Competitive salary package &amp; benefits</div>
<div>   Medical, dental, and vision insurance is 100% covered</div>
<div>   401k plan with company matching!</div>
<div>✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!</div>
<ul><li>️ Wellness, commuter, and childcare reimbursements</li></ul>
<div>   Generous parental leave policy</div>
<div></div>
<div>DE&amp;I Statement:</div>
<div>At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.</div>
<div></div>
<div>We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.</div>
<div></div>
<div>We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.</div>
<div></div>
<div>Want to know more about candidate privacy? Find our Candidate Privacy Notice here.</div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div></div><p></p>

Data Scientist

T-Mobile

<div><p>At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That&rsquo;s how we&rsquo;re UNSTOPPABLE for our employees!</p><p></p>
At T-Mobile Advertising Solutions, we're building privacy-first advertising products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.<br>
<br>
We are seeking a creative, and curious Senior Applied Scientist to join our team. In this role, you'll work at the intersection of machine learning, software engineering, and big data, building AI and ML systems that directly impact our customers and business. You'll collaborate with engineers, data scientists, product managers, and other stakeholders to solve complex problems and deliver innovative solutions at scale.<br>
<br>
We embrace Lean Development principles, iterative experimentation, continuous learning, and a strong build-measure-learn feedback culture. The work you do will directly shape the future of our products and technologies.<p></p><div><div><div><div><div><div><div><div><div><p><b>
Job Responsibilities</b>:</p><ul><li><p>
Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring.</p></li><li><p>
Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.</p></li><li><p>
Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact.</p></li><li><p>
Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability.</p></li><li><p>
Collaborate across engineering, product, and business teams while leading other engineers and data scientists.
</p></li></ul><p></p><p><b>Education and Work Experience</b>:</p><ul><li><p>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</p></li><li><p>
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)</p></li><li><p>
4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools. (Required)</p></li><li><p>
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift) (Required)</p></li><li><p>
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS) (Required)</p></li><li><p>
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.(Required)</p></li></ul><p><b><br>
Knowledge, Skills and Abilities</b>:</p><ul><li><p>
Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking.</p></li><li><p>
Advanced knowledge of cloud-based services (GCP, AWS)</p><p>
and Python, PySpark and related Python libraries (e.g. pandas, scikit-learn, scipy, numpy) for advanced data science tasks.</p></li><li><p>
Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies.</p></li><li><p>
Experience operating production machine learning and data systems in cloud and containerized environments.</p></li><li><p>
Experience in AdTech and GIS or geospatial data processing is a plus.</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><ul><li><p>
At least 18 years of age</p></li><li><p>
Legally authorized to work in the United States</p></li></ul><p></p><p><b>
Travel</b>:<br>
Travel Required (Yes/No): No<br>
<br>
<b>DOT Regulated</b>:<br>
DOT Regulated Position (Yes/No): No<br>
Safety Sensitive Position (Yes/No): No</p><p></p>
Base Pay Range: $116,500 - $210,100<p></p>
Corporate Bonus Target: 15%<p></p><p>
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.</p><p></p>
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.<p></p><p>
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&amp;D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service &amp; home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile&rsquo;s amazing benefits, check out <i>www.t-mobilebenefits.com</i><i>.</i></p><p></p><p>
Never stop growing!<br>
As part of the T-Mobile team, you know the Un-carrier doesn&rsquo;t have a corporate ladder&ndash;it&rsquo;s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it&rsquo;s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you&rsquo;re living our values while investing in your career growth&ndash;and we applaud it. You&rsquo;re unstoppable!<br>
<br>
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.<br>
<br>
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.</p></div>

Senior Applied Scientist

Blue Orange Digital

<div><h3 class="jobSectionHeader"><b>Company overview:</b></h3><p>
Blue Orange Digital is a boutique data &amp; AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.</p><p>
Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.</p><p>
We&rsquo;re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.</p><p><b>
Note</b>: Please submit your resume in English, as all application materials must be in English for review and consideration.</p><h3 class="jobSectionHeader"><b>
Position overview:</b></h3><p>
The ideal candidate is a US-based Senior Data Engineer who can step into an established enterprise data warehouse environment as a hands-on contributor and a peer-level thought partner to the client's data leadership. This role requires someone who can hit the ground running on a complex Oracle and Oracle Cloud Infrastructure (OCI) stack, plus AWS, bring opinionated patterns and alternatives to the table, and operate independently without day-to-day direction.</p><p>
The successful candidate will balance maintaining a stable, well-established production environment with helping shape the next generation of the platform, including the team's adoption of Apache Iceberg, lakehouse patterns, and cloud-native ETL.</p><p><b>
Note</b>: This is a contractor role with potential expansion to full‑time employment, depending on performance and business needs.</p><h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><ul><li><p>
Build and maintain data flow and transformation patterns across an enterprise Oracle data warehouse environment.</p></li><li><p>
Partner with the client database and platform teams to manage external tables, flat files, and high-volume batch ingestion.</p></li><li><p>
Identify and implement performance optimizations at the storage, query, and orchestration layers, including across a long-standing production warehouse with accumulated business logic.</p></li><li><p>
Maintain and extend cloud-to-Oracle integration patterns, the data catalog layer, and shell-script-based orchestration jobs.</p></li><li><p>
Operate and evolve the existing ETL stack while contributing to the evaluation and adoption of Oracle-native data transform tools.</p></li><li><p>
Contribute hands-on to the buildout of a hybrid lakehouse using Apache Iceberg, OCI Object Storage, Parquet, and external table patterns.</p></li><li><p>
Prepare for an upcoming shift in source ingestion toward cloud object storage and a data lake delivery pattern.</p></li><li><p>
Perform light Linux server administration and performance tuning on existing ETL infrastructure.</p></li><li><p>
Act as a collaborative thought partner with senior client stakeholders, proposing alternatives and surfacing patterns rather than waiting for prescriptive direction.</p></li><li><p>
Support potential future workstreams including master data management and golden record initiatives once data foundations are matured.</p></li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li><p>
5+ years of hands-on data engineering experience in Oracle-centric enterprise data warehouse environments.</p></li><li><p>
Current, hands-on experience with Oracle Cloud Infrastructure (OCI), specifically OCI Object Storage, OCI Data Transforms, Oracle Data Catalog, and OCI ETL patterns. Candidates needing ramp-up on OCI fundamentals will not be considered.</p></li><li><p>
Strong Oracle expertise, including advanced SQL, complex joins, performance tuning, and the ability to navigate a mature data warehouse with significant legacy business logic.</p></li><li><p>
Dimensional modeling proficiency, including star schemas, facts and dimensions, and slowly changing dimensions.</p></li><li><p>
Working knowledge of lakehouse concepts, including the role of object storage in a hybrid data warehouse and lakehouse architecture.</p></li><li><p>
Solid core ETL and ELT skills, including orchestration, error handling, dependency management, and high-volume batch ingestion.</p></li><li><p>
Working knowledge of Linux, including shell scripting, SSH-based administration, and basic server maintenance.</p></li><li><p>
Working knowledge of Java sufficient to read, debug, and lightly modify Java-based ETL components.</p></li><li><p>
Excellent written and verbal communication. Able to operate as a peer-level collaborator with senior client subject matter experts.</p></li><li><p>
US-based with Eastern Time business-hours overlap.</p></li></ul><h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul><li><p>
Hands-on Apache Iceberg experience, including table format, metadata layer, and migration patterns.</p></li><li><p>
Production Pentaho experience.</p></li><li><p>
Experience with AWS S3 to Oracle ingestion patterns and cloud-to-warehouse data lake integration.</p></li><li><p>
Exposure to high-volume transactional reporting domains.</p></li><li><p>
Master Data Management or golden record program experience.</p></li><li><p>
Background in data warehouse modernization or lakehouse migration projects.</p></li></ul><p><b>
Compensation</b>: $126,000 &ndash; $147,000 USD/year (or $10,500 &ndash; $12,250 USD/month)</p><p>
Background checks may be required for certain positions/projects.</p><p>
Blue Orange Digital is an equal-opportunity employer.</p></div>

Senior Data Engineer

International Swaps and Derivatives Association

<div><div><p>June 30, 2026</p>
<p><b>Job Title:</b> Assistant Director, Artificial Intelligence</p>
<p><b>Reports to:</b> Senior Director, Digital Transformation, Analytics</p>
<p><b>Location:</b> New York</p>
<p><b>Salary Range:</b> $120,000 - $130,000</p>
</div><div><p><b>Job purpose</b><br>
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab.</p><br>
<p></p>
<p><b>
Duties and responsibilities</b></p>
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market<b><i>.</i></b></li></ul><br>
<p></p>
<p><b>
Relevant Skills / Abilities</b></p>
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div><p></p>

Assistant Director, Artificial Intelligence, NY

WPP Media

<div><div><p><b>About WPP Media</b></p>
<p>
WPP is the trusted growth partner for the world's leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships &ndash; all united by our pioneering agentic marketing platform, WPP Open &ndash; we help clients navigate change, capture opportunity, and deliver transformational growth.</p>
<p>
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.</p>
<p>
For more information, visit wppmedia.com.</p></div><p><b>
Senior Associate, People Operations (Workday)</b></p>
<p>
The Senior Associate, People Operations (Workday) plays a critical role in supporting stabilization, and ongoing administration of Workday across the organization. This position will partner closely with the People Operations team, Payroll, Reporting, and other stakeholders to ensure data integrity, process efficiency, and ensuring we are taking into consideration operational standards.</p>
<p>
The ideal candidate is detail-oriented, analytical, and process-driven, with a passion for continuous improvement and operational excellence. This role will be heavily focused on auditing data, troubleshooting system issues, documenting processes, and supporting the day-to-day activities associated with Workday and its integration with ADP Payroll.</p>
<p><b>
Key Responsibilities</b></p>
<p><b>
Workday Operations &amp; Data Integrity</b></p>
<ul>
<li>Support the ongoing rollout, stabilization, and optimization of Workday across the employee lifecycle.</li>
<li>Audit employee data between Workday and ADP to identify discrepancies and ensure data accuracy.</li>
<li>Review and analyze compare reports, error reports, integration reports, and audit findings to proactively identify and resolve issues.</li>
<li>Partner with Payroll and HRIS teams to investigate and correct employee data inconsistencies.</li>
<li>Monitor Workday transactions and validate successful processing of employee changes.</li>
</ul>
<p><b>Process Improvement &amp; Documentation</b></p>
<ul>
<li>Maintain, update, and refine Standard Operating Procedures (SOPs), job aids, and process documentation related to Workday transactions and People Operations workflows.</li>
<li>Identify opportunities to streamline processes and improve operational efficiency.</li>
<li>Assist in developing and documenting new procedures as Workday functionality expands.</li>
<li>Support training and knowledge-sharing initiatives across the People Operations team.</li>
</ul>
<p><b>Organizational Structure &amp; Data Management</b></p>
<ul>
<li>Create and maintain Supervisory Organizations (Sup Orgs) and organizational structures within Workday.</li>
<li>Support with the processing of organizational changes including transfers, promotions, restructures, and reporting line bulk updates.</li>
<li>Submit and validate Enterprise Interface Builder (EIB) uploads and other mass data transactions.</li>
<li>Perform quality assurance reviews following data uploads and system changes.</li>
</ul>
<p><b>Reporting &amp; Analysis</b></p>
<ul>
<li>Generate and analyze Workday reports to support People Operations, Payroll, and Business Stakeholders.</li>
<li>Prepare recurring and ad hoc reporting related to employee data, organizational changes, and system performance.</li>
</ul>
<p><b>Issue Resolution &amp; Stakeholder Support</b></p>
<ul>
<li>Serve as a point of contact for Workday-related operational tickets and escalations.</li>
<li>Partner with the Workday Project Lead, HRIS, Payroll, and Workday Support teams to investigate and resolve system issues.</li>
<li>Track, document, and manage open issues through resolution.</li>
<li>Support testing activities, system enhancements, and post-production validation efforts.</li>
</ul>
<p><b>________________________________________________________________________________________</b></p>
<p><b>
Qualifications</b></p>
<ul>
<li>Bachelor's degree or equivalent combination of education and experience.</li>
<li>1&ndash;2 years of experience in Human Resources, People Operations, HRIS, Payroll, or a related operational function, with a focus on Workday.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Advanced proficiency in Microsoft Excel, including data analysis and reconciliation.</li>
<li>Strong organizational, analytical, and problem-solving skills.</li>
<li>Ability to manage multiple priorities in a fast-paced environment.</li>
<li>Experience working with Workday, ADP, and other HRIS platforms.</li>
<li>Experience performing data audits, reconciliations, or quality assurance reviews.</li>
<li>Experience maintaining process documentation and SOPs.</li>
<li>Familiarity with HR operations, payroll processes, and employee lifecycle transactions.</li></ul><p></p><div><br>
<p>
Please read our Privacy Notice for more information on how we process the information you provide.</p></div></div>

Senior Associate, People Operations

<div><p><b>Senior Program Manager (Data Strategy)</b></p><p><br>
American International Group, Inc. (AIG) is a leading global insurance organization. AIG member companies provide a wide range of property casualty insurance in approximately 70 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets and manage risks.</p><p>
 We&rsquo;re also committed to making a positive difference for our colleagues and in the communities where we work and live. We encourage colleagues to give back to the causes they care most about, supporting these efforts through our Volunteer Time Off and Matching Grants Programs.</p><p></p><h2 class="jobSectionHeader"><b><br>
About the Role</b></h2><p>
The Senior Data Strategy Manager is working closely with the Head of Data Strategy to align AIG&rsquo;s data strategy and operating model to business priorities, manage AIG&rsquo;s data budget, prepare executive communications, and drive end-to-end delivery of strategic data initiatives. This role partners with business and technical stakeholders to translate enterprise strategy into executable roadmaps, ensuring priorities are clearly defined, and funded, progress is tracked against plan, and critical initiatives are being delivered.</p><h2 class="jobSectionHeader"><b><br>
Responsibilities</b></h2><ul><li><i>
Program Leadership:</i> Act as program manager and delivery lead for high-priority data initiatives. Drive end-to-end execution, including planning, stakeholder alignment, risk management, and outcome delivery.</li><li><i>
Priority Setting:</i><b><i> </i></b>Support definition of Data Office priorities in line with enterprise objectives. Ensure delivery plans, resources, and execution are tightly aligned to agreed priorities.</li><li><i>
Financial Planning</i>: Support annual and multi-year financial planning for the Data Office. Track spending, monitor actuals vs. plan, and provide transparency on budget utilization and outcomes.</li><li><i>
Executive Communications:</i> Prepare high-quality executive briefings for senior stakeholders and steering committees. Provide clear updates on strategic priorities, progress, risks, and value realization.</li></ul><h2 class="jobSectionHeader"><b><br>
Required qualifications</b></h2><ul><li>
8+ years of experience in data strategy, data management, or similar leadership roles, preferably in insurance, banking or other related fields.</li><li>
Experience leading cross-functional data programs from design through delivery.</li><li>
Demonstrated ownership of budget planning, financial tracking, and cost management.</li><li>
Strong understanding of value realization, business case development, and ROI tracking.</li><li>
Proven ability to prepare and deliver clear, concise executive briefings.</li><li>
Deep knowledge of data ecosystems (data platforms, governance, AI/ML concepts).</li><li>
Bachelor&rsquo;s degree in business, computer science, engineering, or a related field.</li></ul><h2 class="jobSectionHeader"><b><br>
Preferred qualifications</b></h2><ul><li>
Experience with cloud data/AI ecosystems (Azure, AWS, or GCP) and common platforms/tools (e.g., Databricks, Snowflake, Spark, Kubernetes).</li><li>
Familiarity with Data Governance and Responsible AI practices (e.g. data quality, privacy, security, fairness, and model risk management).</li><li>
Experience delivering GenAI solutions, including evaluation, safety, and governance.</li><li>
Program/project management certification (PMP, PRINCE2) and/or agile certification (CSM/PSM, SAFe).</li><li>
Experience leading distributed/onshore-offshore teams and external partners.</li>
Master&rsquo;s degree in a related field is nice to have.<br>
<li>
</li></ul><br>
<p>For positions based in New York, NY, the base salary range is $173,000-$217,000 and the position is eligible for a bonus in accordance with the terms of the applicable incentive plan.</p><p><br>
#LI-PS1</p><p></p><p>
At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.</p><p></p><p><b>
Enjoy benefits that take care of what matters</b></p><p>
At AIG, our people are our greatest asset. We know how important it is to protect and invest in what&rsquo;s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security&mdash;as well as your professional development&mdash;to bring peace of mind to you and your family.</p><p></p><p><b>
Reimagining insurance to make a bigger difference to the world</b></p><p>
American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world&rsquo;s most far-reaching property casualty networks. It is an exciting time to join us &mdash; across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.</p><p></p><p><b>
Welcome to a culture of </b><b>inclusion</b></p><p>
We&rsquo;re committed to creating a culture that truly respects and celebrates each other&rsquo;s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG&rsquo;s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.</p><p></p><p><i>
AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.</i></p><p></p><p>
AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.
</p><p></p><div><div><div><div><div><div><div><p>Functional Area:</p></div></div></div></div></div></div></div>
IT - Information Technology<p></p>
AIG PC Global Services, Inc.</div><p></p>

Senior Program Manager (Data Strategy)

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