Data Analyst
UKG · Remote / flexible (United States) · Mid Level · Data, analytics and AI · posted 2 days ago
UKG · San Francisco, CA · posted 71 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | UKG |
|---|---|
| Location | San Francisco, California |
| Field | Technology › Data, analytics and AI |
| Level | Senior Level |
| Source category | Data and Analytics |
| Posted | 2026-08-30 (71 days ago) |
| Work arrangement | A remote or flexible location is listed |
| Pay | Not published in the source listing |
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.
About the Role:
We are seeking a distinguished and customer-facing Fellow AI Engineer to define and lead UKG's enterprise-wide Agentic AI strategy across the full UKG Product Suite. This role extends beyond technical excellence-it requires a seasoned AI leader who partners closely with customers, sales leaders, product teams, and engineering experts to translate AI innovation into measurable business impact.
As a Technical Fellow, you will serve as the strategic and architectural authority for Agentic AI systems. You will shape how autonomous, goal-driven AI agents are designed, deployed, governed, and scaled across all the complete UKG product suite. This role demands a rare blend of deep technical mastery, enterprise architecture thinking, commercial awareness, and executive-level influence and communication.
You will operate at the intersection of customer outcomes, product innovation, and engineering excellence-ensuring UKG leads the market in responsible, scalable, and transformative Agentic AI solutions.
UKG is unable to offer sponsorship for this position.
Responsibilities:
Agentic AI Vision & Enterprise Strategy
Define and drive UKG's enterprise-wide Agentic AI strategy, establishing a cohesive architectural and execution framework for intelligent agents across the product portfolio and AI Platform. Translate emerging AI capabilities into a clear roadmap aligned with business priorities, customer value, and long-term platform evolution.
Customer & Field Partnership
Engage directly with strategic customers, sales teams, and solution consultants to:
• Shape AI-driven value propositions
• Identify high-impact agentic use cases
• Support executive conversations and AI strategy discussions
• Translate real-world customer challenges into scalable AI platform capabilities
Serve as a trusted AI advisor in customer engagements, industry forums, and strategic deal cycles.
Cross-Functional Leadership
Collaborate with Product, Engineering, Data Science, Security, and Legal teams to ensure alignment on architecture, governance, and responsible AI frameworks. Facilitate cross-functional consensus to operationalize AI agents in a manner that is secure, compliant, and ready for production deployment. Lead discussions on AI technology at the UKG Board level.
Technical Authority & Architecture
Provide hands-on architectural leadership in:
• Multi-agent systems and orchestration frameworks
• LLM-powered agents and tool-use architectures
• Retrieval-augmented generation (RAG) and knowledge systems
• Autonomous workflow execution and decision intelligence
• AI safety, evaluation, and guardrails
Establish standards for scalability, observability, cost optimization, and performance across cloud-native deployments.
Innovation & Applied Research
Stay at the forefront of Agentic AI advancements, continuously evaluating emerging models, frameworks, and research. Lead rapid experimentation and incubation of next-generation AI capabilities, bridging cutting-edge research with production-grade systems.
Commercial & Product Influence
Collaborate with GTM and Product leadership to ensure AI investments translate into differentiated product offerings. Influence pricing models, packaging strategies, and AI monetization approaches aligned with enterprise customer expectations.
Responsible AI & Governance
Define and champion governance frameworks for autonomous AI systems, including:
• Transparency and explainability
• Human-in-the-loop controls
• Privacy-preserving architectures
• Risk management and compliance
Ensure AI systems align with UKG's commitment to trust, fairness, and ethical innovation.
Mentorship & Organizational Impact
Elevate AI maturity across the organization by mentoring senior engineers and architects. Foster a culture of pragmatic innovation-balancing bold experimentation with disciplined execution.
Industry Representation
Represent UKG as a thought leader in Agentic AI through publications, keynote speaking, customer roundtables, and industry collaborations.
Qualifications:
• Educational Background: PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.
• Experience: 15+ years in software development and AI, with at least 5 years of hands-on experience in generative AI, NLP, or related fields. Proven expertise in architecting and deploying large-scale AI/ML systems in production environments.
• Track record of influencing cross-functional stakeholders, including customer-facing teams
• Technical Proficiency: Expert-level skills in programming languages (e.g., Python, Java) and AI frameworks (e.g., TensorFlow, PyTorch). Strong understanding of cloud platforms (AWS, Google Cloud, Azure) and MLOps practices for large-scale model training and deployment.
• AI Methodologies: In-depth knowledge of generative AI methodologies, including transformer models, diffusion models, GANs, large language models, and multi-modal architectures. Familiarity with NLP and machine learning algorithms, such as linear and logistic regression, decision trees, and clustering methods.
• Experience partnering with sales and customers to shape AI roadmaps
• Industry Influence: Recognized thought leader in AI, with a record of publications in top-tier AI conferences/journals (e.g., NeurIPS, ICML, CVPR) and a strong network within the AI research community.
• Executive presence with strong communication and storytelling skills
• Problem-Solving & Strategy: Exceptional problem-solving skills and a proven ability to influence and implement long-term AI-driven strategic initiatives.
Preferred Qualifications:
• Compliance & Responsible AI: Experience working in high-compliance environments or with privacy-preserving AI techniques. Strong familiarity with trends in responsible AI, model interpretability, and ethical AI practices.
• Optimization Expertise: Proven record of optimizing AI models for cost-efficiency at scale through model compression, distillation, and efficient deployment strategies.
• Cloud & DevOps Knowledge: Strong experience with cloud-native architectures, containerization (e.g., Kubernetes), and CI/CD pipeline automation (e.g., Terraform, GitHub Actions).
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify. View the E-Verify posters here.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $233,300.00 to $385,000.00 USD. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG's benefits and rewards at https://www.ukg.com/about-us/careers/benefits
Field: Technology Sub-niche: Data, analytics and AI All jobs at UKG Jobs in California Jobs in San Francisco, CA San Francisco city guide California state guide San Francisco County economy
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This is a Senior Level role in the Technology field (Data, analytics and AI) at UKG. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
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The job is in San Francisco, CA. Below is what the official statistics say about living and working there.
How San Francisco compares. Among the 145 largest places in California, San Francisco is #4 by population, #139 for homeownership (#1 = highest), #20 for remote work (#1 = most), #25 for college degrees (#1 = most). Its county, San Francisco County, is #3 of 58 counties for average pay ($174,103).
San Francisco has 830,235 residents (ACS 2020–2024), about 2.1% of the population of California. It covers 47 square miles of land, which works out to roughly 17,784 people per square mile. The median age is 40.0, 6% older than the state median (40.0 against 37.9).
The median gross rent is $2,476 a month (rent plus utilities), 22% above the state median ($2,476 against $2,036). Over a year that is 21.1% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,394,500, which is 9.9 times the median household income ($140,970); a ratio above 5 usually means buying is out of reach without savings or a second income. 38.2% of households own their home, 32% below the state average (38.2% against 55.9%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.
The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Francisco County was 4.0%. 69.6% of residents aged 16 and over are in the labour force. The city lies in San Francisco County; its jobs, pay by industry and GDP are on the county page.
Among workers, 28.6% drive alone, 18.7% use public transit, 9.3% walk, 31.0% work from home. 21.6% of workers commute 45 minutes or more, 11% above the state average (21.6% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.
60.3% of adults aged 25 and over hold a bachelor's degree or higher, 63% above the state share (60.3% against 37.1%). 34.0% of residents were born outside the United States, 26% above the state share (34.0% against 27.0%). The poverty rate is 11.2%, 7% below the state rate (11.2% against 12.0%).
The warmest month is Sep, averaging 59°F (14.9°C), and the coolest is Apr at 53°F (11.6°C). About 515 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (112 mm) and Jul the driest (2 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: Daly City (31 miles, rent 3% higher); Pacifica (31 miles, rent 25% higher); San Bruno (34 miles, rent 12% higher); Millbrae (36 miles, rent 32% higher). Rent differences are against San Francisco; use the Compare tab to put any two cities side by side.
Full guide to San Francisco →California guideAll jobs in San Francisco
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Places within 50 miles (straight line) of San Francisco, CA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| Place ⇅ | Distance from the job city ⇅ | Median rent ⇅ | Median home value ⇅ | Median household income ⇅ | Commute 45+ min ⇅ | Rent as % of occupation pay ⇅ | Open jobs there ⇅ |
|---|---|---|---|---|---|---|---|
| San Francisco, CA | 0 mi | $2,476 | $1,394,500 | $140,970 | 21.6% | n/a | Jobs |
| Daly City, CA | 31 mi | $2,551 | $1,115,000 | $123,547 | 19.6% | n/a | — |
| Pacifica, CA | 31 mi | $3,098 | $1,249,800 | $160,523 | 15.5% | n/a | — |
| San Bruno, CA | 34 mi | $2,773 | $1,207,500 | $141,272 | 12.2% | n/a | — |
| Millbrae, CA | 36 mi | $3,272 | $1,934,900 | $163,476 | 21.8% | n/a | — |
| Brisbane, CA | 36 mi | $2,574 | $1,232,200 | $156,169 | 29.8% | n/a | — |
| South San Francisco, CA | 36 mi | $2,802 | $1,188,800 | $136,578 | 15.2% | n/a | — |
| Half Moon Bay, CA | 37 mi | $2,433 | $1,549,500 | $157,884 | 26.7% | n/a | — |
| Burlingame, CA | 38 mi | $2,785 | $2,000,001 | $174,000 | 23.1% | n/a | — |
| Richmond, CA | 40 mi | $1,960 | $668,200 | $95,391 | 28.8% | n/a | — |
| San Mateo, CA | 41 mi | $3,077 | $1,618,700 | $153,504 | 15.8% | n/a | — |
| Berkeley, CA | 41 mi | $2,133 | $1,413,900 | $108,092 | 20.8% | n/a | Jobs |
| Alameda, CA | 42 mi | $2,474 | $1,235,700 | $137,697 | 27.3% | n/a | Jobs |
| Belmont, CA | 43 mi | $2,875 | $2,000,001 | $205,297 | 18.6% | n/a | Jobs |
| Oakland, CA | 44 mi | $1,979 | $929,900 | $101,600 | 21.9% | n/a | Jobs |
| Foster City, CA | 44 mi | $3,501 | $1,838,200 | $199,143 | 20.6% | n/a | Jobs |
| San Carlos, CA | 45 mi | $2,854 | $2,000,001 | $237,470 | 14.9% | n/a | — |
| Redwood City, CA | 47 mi | $2,968 | $1,801,700 | $157,814 | 10.2% | n/a | Jobs |
| San Leandro, CA | 48 mi | $2,186 | $844,200 | $101,420 | 23.7% | n/a | — |
| Atherton, CA | 49 mi | $3,501 | $2,000,001 | $250,001 | 7.0% | n/a | — |
We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:
Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)
How far San Francisco, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| San Francisco, CA | 0 mi | 830,235 |
| San Jose, CA | 73 mi | 990,138 |
| Los Angeles, CA | 364 mi | 3,857,263 |
| San Diego, CA | 475 mi | 1,389,526 |
| Phoenix, AZ | 678 mi | 1,642,323 |
| Seattle, WA | 684 mi | 754,195 |
| Denver, CO | 986 mi | 718,877 |
| Oklahoma City, OK | 1,420 mi | 697,125 |
| Fort Worth, TX | 1,484 mi | 963,194 |
| Dallas, TX | 1,515 mi | 1,307,930 |
| San Antonio, TX | 1,516 mi | 1,479,835 |
| Austin, TX | 1,530 mi | 979,539 |
| Houston, TX | 1,673 mi | 2,328,253 |
| Chicago, IL | 1,885 mi | 2,711,226 |
| Indianapolis, IN | 1,979 mi | 885,860 |
| Columbus, OH | 2,142 mi | 914,802 |
| Charlotte, NC | 2,332 mi | 903,844 |
| Jacksonville, FL | 2,403 mi | 977,670 |
| Philadelphia, PA | 2,550 mi | 1,579,706 |
| New York, NY | 2,602 mi | 8,483,844 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Alameda, CA | 42 mi | 15 |
| Belmont, CA | 43 mi | 2 |
| Redwood City, CA | 47 mi | 27 |
| Palo Alto, CA | 54 mi | 24 |
| Sunnyvale, CA | 60 mi | 12 |
| Fremont, CA | 62 mi | 2 |
| Pleasanton, CA | 63 mi | 1 |
| Milpitas, CA | 66 mi | 2 |
| Campbell, CA | 67 mi | 7 |
| San Jose, CA | 73 mi | 661 |
| Capitola, CA | 79 mi | 1 |
| Sacramento, CA | 103 mi | 38 |
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A senior level role in technology (data, analytics and ai) listed 71 days ago. The full description is on this page and on The Muse.
San Francisco, CA. A remote or flexible location is listed; confirm with the employer which states are accepted.
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The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in San Francisco is $2,476 a month and median household income $140,970 (ACS 2020–2024).
It was posted on 2026-08-30 (71 days ago). Jobs older than 90 days are not shown.
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