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About ConnectPrep ConnectPrep is a forward-thinking education company dedicated to transforming student success through personalized instruction, technology, and data-driven strategies. We combine educational expertise with deep analytical capabilities to optimize outcomes across tutoring, test prep, and college advising programs. As we continue to grow, we are seeking a highly motivated and experienced Senior Data Analyst to join our team and lead strategic data initiatives across departments. Position Overview The Senior Data Analyst will play a key leadership role in building and scaling ConnectPrep’s analytics function. This individual will be responsible for designing and maintaining data systems, driving business insights through advanced analytics, and supporting key initiatives across operations, curriculum development, and marketing. This is a high-impact role for a data-driven professional who is equally comfortable with hands-on technical work and cross-functional collaboration. Key Responsibilities Lead the design, development, and optimization of dashboards, data models, and analytical tools to support business and educational performance metrics. Translate complex data into actionable insights and clearly communicate findings to senior leadership and non-technical stakeholders. Own the full analytics workflow, including data extraction (SQL), transformation, and visualization using tools such as Tableau, Power BI, or Looker. Design and evaluate A/B tests for product and content experimentation, interpreting results to inform decision-making. Develop predictive models to support personalization and adaptive learning efforts across educational services. Partner with internal teams—including curriculum developers, marketing, and engineering—to define data requirements and ensure consistent implementation of analytics strategy. Mentor junior analysts and contribute to the development of internal data best practices and documentation. Support data governance, data quality, and compliance initiatives. Qualifications Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. Minimum 5 years of professional experience in a data analytics or data science role, preferably in education, edtech, or a service-based company. Advanced proficiency in SQL and Python (Pandas, NumPy, or similar libraries); knowledge of R is a plus. Strong experience with BI tools such as Tableau, Power BI, or Looker. Demonstrated ability to manage and communicate data projects independently, from conception through execution. Experience designing and analyzing A/B and multivariate experiments. Familiarity with data pipeline tools (e.g., Airflow, dbt) and data warehouse architecture (e.g., Snowflake, BigQuery) preferred. Excellent communication skills and the ability to work cross-functionally in a collaborative environment. Passion for education and using data to drive meaningful outcomes. Preferred Qualifications Experience in educational data analysis or adaptive learning technologies. Exposure to machine learning techniques and model deployment. Prior leadership or mentorship experience within analytics teams. Strong business acumen with an understanding of how data supports strategic goals. What We Offer Competitive salary commensurate with experience. Equity opportunity and performance-based incentives. Health, dental, and vision benefits; 401(k) program. Generous PTO and flexible work arrangements. A mission-driven work environment where data directly impacts student growth and educational access. Career advancement opportunities as part of a growing company. How to Apply Please submit your resume and a brief cover letter highlighting your analytics experience and interest in this role to careers@connectprep.com . Use the subject line “Senior Data Analyst – [Your Name]”. Requirements What we are looking for: Creative problem solving, strong math/quantitative skills, and attention to detail A background in Applied Mathematics, Statistics, or Computer Science Ability to brainstorm ways we can use our product to collect data that provides insight into the needs of our students Experience with SQL, Pandas, or other fast analysis language Experience in data analysis or building pipeline tools in Python Some coding background and a strong interest in technology Advanced Excel skills (Advanced Formulas) Tables & Formatting Conditional Formatting Advanced Charting Pivot tables & Pivot Reporting VBA & Macros Using Excel Productively Data Tables, Simulations & Solver Benefits Why join ConnectPrep? Get in on the ground floor of an exciting new company, with the potential to help shape our direction Be involved with a team that has bold ideas, with the goal of reinventing education across the globe Gain valuable experience, meet technology innovators, and learn about the business side of our company Sound Interesting? Please submit your resume and letter of interest at careers@connectprep.com . All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feeds (e.g., Refinitiv RTS/TREP, Bloomberg B-PIPE, OPRA, CME MDP, ITCH). Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Familiarity with containerization (Docker/K8s) and public-cloud networking (AWS, GCP). Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits  Trexquant is an Equal Opportunity Employer

We are looking for a Marketing Data Engineer who is passionate about helping developers and small businesses succeed with cloud technology. Reporting to the Director of Growth Analytics and Operations, you will be a key technical contributor supporting Acquisition and Growth Marketing through clean, accessible, and actionable data. You’ll build the pipelines, systems, and services that empower our teams to scale their efforts across hundreds of thousands of customers. What You’ll be doing:  You’ll manage the data infrastructure that powers our growth: You will design, build, and maintain the ETL pipelines that extract data from backend services, transform it into usable formats, and load it into Snowflake for analysis and decision-making. Your work ensures our marketing and growth teams have the right data at the right time. You’ll make customer data available in real-time : From building services that extract data from key systems like Marketo and Jitsu to ensuring clean ingestion into our CDP (Segment), you’ll be responsible for making customer behavior data actionable across marketing channels and dashboards. You’ll ensure data reliability and governance : You’ll develop and maintain frameworks for data validation, quality monitoring, and governance. You'll document systems, automate processes, and support incident response to maintain high data integrity and system uptime. You’ll work cross-functionally : Partnering with the Growth Engineering, Growth Marketing, Product, and Data Science teams to ensure data flows smoothly across systems and supports experimentation, measurement, and personalization at scale. You’ll be shipping code into our product and backend infrastructure to implement and operationalize your data goals! What We’ll Expect from you: A deep understanding of data engineering systems: You have strong experience with Python and SQL, understand the principles of data modeling and pipeline architecture, and can build robust services to enable data sharing across tools like Snowflake, Segment, and Jitsu. Full stack engineering chops and technical independence: You’re comfortable interfacing with backend and frontend systems that require engineering-level access. Prior experience with Go, React, Node.js and Typescript/Javascript will be valuable in this role, and experience with Kafka and CI/CD is a bonus. You can work autonomously to extract critical metadata and customer data from services used across the company. Experience with cloud-native tools and infrastructure: You have hands-on experience with cloud data tools (e.g., Snowflake, Airflow, Segment) and containerization (e.g., Docker, Kubernetes). Experience with dbt is a plus. Operational rigor: You bring strong monitoring, documentation, and automation practices to your work. You know how to identify and troubleshoot pipeline issues and are proactive about root cause analysis and long-term stability. Strategic problem-solving : You can see the big picture while owning the technical details. You bring ideas to life through experimentation, and you understand how clean, reliable data unlocks better customer experiences and business growth. Domain experience : Familiarity with growth experimentation, product-led growth strategies, or digital marketing ecosystems is a plus. Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.  We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is $140,000 - $180,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. *This is a remote role #LI-Remote

Account Executive, CoStar Data & Analytics - Seattle, WA <br> Job Description <br> CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Why CoStar? Proven Success : 90%+ average customer renewal rate and consistent 10%+ year-over-year growth. High Rewards : Competitive base salary with uncapped commissions, exceptional benefits, and exclusive incentives like our annual President’s Club retreat at a luxury destination for top performers. Career Development : Comprehensive onboarding and training experience with a clear path for growth, where top performers enjoy long-term career advancement. Innovative Tools : Access to industry-leading products that give you a competitive edge. Role Overview As an Account Executive, you will be responsible for selling new business while managing and growing your client portfolio through the value of CoStar products. This is a consultative role that empowers you to build relationships, engage new clients, and oversee the entire sales process from start to finish. Key Responsibilities Sell New Business: Identify and pursue new business opportunities by promoting the value of our product to the commercial real estate industry and beyond. Account Management: Effectively manage and expand your portfolio of clients, ensuring ongoing satisfaction and growth tailored solutions. #1 Commercial Real Estate Brand: Develop expertise in CoStar’s products and the commercial real estate market. End-to-End Sales Process: Leverage your expertise through the full sales cycle, including prospecting, product demonstrations, closing, onboarding, training, and renewing clients. Building Relationships: Conduct in-person meetings and deliver product demos to brokers, owners, corporations, investors, and other commercial real estate professionals. Brand Ambassador: Represent CoStar at industry events and cultivate long term relationships and a professional network. Basic Qualifications 3 + years of successful B2B outside sales experience required. Bachelor’s degree from an accredited not-for-profit University or College required. A track record of commitment to prior employers. Proven track record of exceeding sales targets. Demonstration of commitment to prior employers Experienced in client management and post-sale. Candidates must possess a current and valid driver’s license. Satisfactory completion of a Driving Record/Driving Abstract check prior to start. Preferred Qualifications 5 + years of successful outside sales experience in a B2B environment selling data, research, and analytic platforms or tools, commercial real estate, financial services, business intelligence, marketing, information providers, or related experience preferred. (Client-facing experience in the commercial real estate industry is strongly preferred.) Strong consultative selling skills with a proven ability to build rapport and trust with clients. A keen interest in the commercial real estate market and a willingness to develop expertise in CoStar’s product suite. Demonstrated success in managing client portfolios and driving revenue growth. Excellent communication, negotiation, and problem-solving abilities. A results-driven mindset with a focus on customer satisfaction and market knowledge. Ideal Traits of Our Account Executives Ambitious: Thrive in a competitive, fast-paced environment and are motivated by uncapped earning potential. Adaptable: Quick to learn and apply new concepts in a constantly evolving suite of products. Engaging: Excellent communicator with a client-focused approach, tailoring information to the relevant audience. Curious : Ask insightful questions, demonstrate strong listening skills, and are eager to learn from customers and colleagues. Customer-Centric: Provide valuable insights and take ownership of client requests, managing them to a successful outcome. What’s In It For You? If you are a driven professional looking for a high-growth, high-reward career, CoStar Group offers the ideal opportunity. Be part of a best-in-class company with strong year-over-year growth that invests in your success. Enjoy a rewarding atmosphere where you can learn, excel, and grow. When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and in person mental health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site fitness center and/or reimbursed fitness center membership costs (location dependent) Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing. Pay Transparency This position offers a base salary range of $70,000 - $80,000, based on relevant skills and experience, an uncapped/generous commission plan and generous benefits. Sponsorship We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position. #LI-MM4 <br> CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE: PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform. Wе аrе сurrеntlу hіrіng а Dаtа Sсіеntіѕt tо hеlр grоw оur соmраnу аnd еnѕurе оur mіѕѕіоn іѕ асhіеvеd! Thіѕ rоlе іѕ а wоrk-frоm-hоmе роѕіtіоn аnd саn bе реrfоrmеd rеmоtеlу аnуwhеrе іn thе соntіnеntаl UЅ оr іn оnе оf оur соrроrаtе lосаtіоnѕ іn Utаh оr Аrіzоnа. WЕ АRЕ: А tеаm оf hungrу еntrерrеnеurѕ wіth bіg drеаmѕ, grіttу FіnTеch ехреrtѕ, раѕѕіоnаtе аbоut dіѕruрtіng bіg mаrkеtѕ, jоіnеd оn а mіѕѕіоn tо mоdеrnіzе аnd ассеlеrаtе оur tесhnісаl еnvіrоnmеnt. Wе lіkе tо mоvе quіcklу, brеаk thіngѕ, mаkе mіѕtаkеѕ, аnd gеt bеttеr еvеrу dау, аѕ lоng аѕ wе аrе соntіnuоuѕlу dеlіvеrіng. YОU АRЕ: А drіvеn аnаlуtісѕ рrоfеѕѕіоnаl. Аѕ а Dаtа Sсіеntіѕt, уоu wіll blеnd аnаlуtісѕ, dаtа mіnіng, mасhіnе lеаrnіng, аnd ѕоftwаrе еngіnееrіng tо buіld ѕоlutіоnѕ thаt wіll rеѕult іn mаѕѕіvе іmрrоvеmеntѕ tо thе wау wе dо buѕіnеѕѕ. Yоu wіll bе rеѕроnѕіblе fоr dеvеlоріng аnd іmрrоvіng kеу dесіѕіоn ѕуѕtеmѕ аnd рrеdісtіvе mоdеlѕ tо drіvе mахіmum buѕіnеѕѕ іmрасt. Yоu wіll dеvеlор а рrоfоund undеrѕtаndіng оf оur сuѕtоmеrѕ, buѕіnеѕѕ рrосеѕѕеѕ, рrоduсtѕ, аnd fіnаnсіаlѕ bу ѕtudуіng thе dаtа thаt dеѕсrіbе еасh оf thеѕе еlеmеntѕ. Yоu'll bе аt thе fоrеfrоnt оf thіѕ rаріdlу еvоlvіng fіеld аnd hаvе thе орроrtunіtу tо dеvеlор уоur оwn tооlѕ аnd tесhnоlоgіеѕ. Mоѕt іmроrtаntlу, уоu'll bе раrt оf а tеаm thаt fоrmѕ thе bасkbоnе оf а fаѕt-grоwіng соmраnу аt thе fоrеfrоnt оf аn ехсіtіng, grоwіng іnduѕtrу. YОUR DАY-TО-DАY: Buіld, mаіntаіn, аnd іmрrоvе dесіѕіоn ѕуѕtеmѕ аnd рrеdісtіvе mоdеlѕ thаt аrе kеу tо Рrоgrеѕѕіvе Lеаѕіng'ѕ соmреtіtіvе аdvаntаgе Еxрlоrе nеw dаtа ѕоurсеѕ bоth іntеrnаl аnd ехtеrnаl tо Рrоgrеѕѕіvе аnd uѕе fіndіngѕ tо furthеr іmрrоvе mоdеl реrfоrmаnсе Dеѕіgn, іmрlеmеnt, аnd rеаd іn-mаrkеt ехреrіmеntѕ tеѕtіng nеw аlgоrіthmѕ, tесhnоlоgіеѕ, аnd рrосеѕѕеѕ Рrоtоtуре ѕоlutіоnѕ tо buѕіnеѕѕ рrоblеmѕ uѕіng сuttіng-еdgе tесhnоlоgіеѕ Rесоmmеnd аnd ѕuрроrt ѕtrаtеgіс сhаngеѕ thrоugh rіgоrоuѕ аnаlуtісѕ, сrеаtіvе рrоblеm ѕоlvіng Іdеntіfу, еvаluаtе, аnd hеlр іmрlеmеnt аdvаnсеd аnаlуtісѕ mеthоdѕ Bе раrt оf а соllеgіаl, fаѕt-grоwіng tеаm оf lіkе-mіndеd dаtа ѕсіеntіѕtѕ! YОU'LL ВRІNG: Mаѕtеr'ѕ dеgrее іn а quаntіtаtіvе / tесhnісаl fіеld (Mаth, Ѕtаtѕ, Есоn, Еng, Рhуѕісѕ, СоmрЅсі) Еxреrіеnсе wіth R, Руthоn, аnd mасhіnе lеаrnіng tооlѕ Еvіdеnсе оf аррlуіng аdvаnсеd mоdеlѕ tо rеаl-wоrld рrоblеmѕ Аbіlіtу tо сrаft rіgоrоuѕ rеѕеаrсh / еvаluаtіоn dеѕіgnѕ Аdvаnсеd knоwlеdgе оf SQL, еtс. Undеrѕtаndіng оf mоdеrn ѕоftwаrе dеvеlорmеnt (Аgіlе, Gіt, DеvОрѕ) А рrоvеn trасk rесоrd оf рrоblеm ѕоlvіng аnd іmрlеmеntаtіоn YОU МІGHT АLЅО HАVЕ: Еxреrіеnсе іn еngіnееrіng еnvіrоnmеntѕ Еxреrt knоwlеdgе оf DеvОрѕ, SQL, Gіt Fаmіlіаrіtу wіth lеgасу tооlѕ оr сlоud mіgrаtіоnѕ WЕ ОFFЕR: Соmреtіtіvе Соmреnѕаtіоn Аррrоасhеѕ tо grоw оn dаtа ѕсіеnсе / lеаdеrѕhір раthѕ Full Hеаlth Веnеfіtѕ: Меdісаl / Dеntаl / Vіѕіоn / Lіfе + Раrеntаl Lеаvе Соmраnу-Маtсhеd 401k Раіd Тіmе Оff + Vоluntееr Hоurѕ ЕRGѕ (Blасk, Wоmеn, РRІDЕ, Аdеlаntе) Еmрlоуее Ѕtосk Рurсhаѕе Рrоgrаm Тuіtіоn Rеіmburѕеmеnt Сhаrіtаblе Gіft Маtсhіng Nесеѕѕаrу Еquірmеnt & Ѕеrvісеѕ Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA. It's time to build. We are looking for a Data Lead to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency Identify and flag ambiguous or edge-case scenarios for review by the ML team Maintain high throughput and consistent quality across large annotation batches Contribute feedback on workflow improvements and tool enhancements Requirements: Strong attention to detail and the ability to apply consistent logic across diverse scenarios Comfortable navigating computer-based tools and quickly learning new software Patient, quality-focused mindset with the ability to juggle multiple assignments Clear written and verbal communication skills Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment Fluency in English required The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Company: AAA Club Alliance, Inc. Location: 1 River Place, Wilmington, DE 19801 Position Title: Sr. Data Scientist Hours: Monday - Friday, 8:00 am to 5:00 pm, 40 Hours/Week Summary of Duties: Collaborate with ACA business partners, identifying business opportunity areas, formulating data science problems, designing robust and innovative data driven solutions using advance algorithms, and creating value for members while advancing ACA data science capabilities. Projects undertaken are of high complexity, involve multiple business lines and functions, and have significant impact across ACA. Lead large projects, providing direction to junior data scientists or analysts. Develop strong acumen of ACA business; analyzes large, structured/unstructured data to generate predictive and prescriptive insights. Uses quantitative analyses and advanced algorithms to develop data driven analytical products for our business partners. Innovate with a strong focus on member experience and satisfaction. Create strong visualizations and engage presentations to explain model outcomes. Develop strong partnerships with key stakeholders in business, IT, marketing and finance. Lead activities like standardization of product development process, solution deployment, common codebase repositories, development of model risk and governance guidelines. Leads evaluation of new technologies and data that will help improve ACA analytical products and serve members smartly. Improves own, organization's knowledge of emerging technologies, frameworks, and trends in AI and machine learning. Qualifications: The position requires a Master's degree in Data Science, Analytics, Computer Science, Applied Math, Operations Research, Economics, Statistics, or a related analytical field and three (3) years of experience in the job offered, or as a Machine Learning Engineer, Data Analyst, or a related occupation. The position requires three (3) years of experience with the following skills: Experience working in big data environments using technologies such as Spark, Flink, NoSQL, or DB structures; Experience in cloud computing technologies, such as Amazon, Web Services (AWS) or Google Clou Platform (GCP) based solutions to build advanced analytic solutions; Experience using statistical methods, machine learning, or deep learning algorithms in a business setting; Advanced experience in programming languages, such as Python, R, SQL, or Matlab; Advanced experience with data visualization such as D3.js, Tableau, or R; and advanced experience with data analytics tools. ACA is an equal opportunity employer and complies with all applicable federal, state, and local employment practices laws. At ACA, we are committed to cultivating a welcoming and inclusive workplace of team members with diverse backgrounds and experiences to enable us to meet our goals and support our values while serving our Members and customers. We strive to attract and retain candidates with a passion for their work and we encourage all qualified individuals to apply. It is ACA's policy to employ the best qualified individuals available for all positions. Hiring decisions are based upon ACA's operating needs, and applicant qualifications including, but not limited to, experience, skills, ability, availability, cooperation, and job performance. Job Category:

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Role Description Delivering customer success with Data + AI + CRM + Trust is the unique value proposition for Salesforce and the Customer 360 Platform. The Consumption Lead, Data Cloud & Agentforce, demonstrates deep business, industry, and product knowledge to partner with customers, guiding them to accelerate Data Cloud & Agentforce consumption and return on investment with Salesforce. This role combines technical and commercial responsibilities. You will drive growth in your assigned customers and use cases by leading stakeholders, managing executive relationships, and creating and implementing consumption plans. Additionally, you will act as the post-sale technical lead for Data Cloud & Agentforce, leveraging your expertise and technical credibility to engage and communicate effectively at all levels within an organization. You will be responsible for developing and implementing technology strategies and providing architectural guidance to ensure Data Cloud and Agentforce integrate seamlessly with customers' existing systems. You will build and nurture positive relationships to help customers progress on their Data Cloud consumption journey, ensuring the platform delivers value. The Consumption Lead works directly with customers that can vary in their market segment, size, solution complexity, and life cycle, all depending on the customer's needs. You are a constant learner. You are curious, empathetic and have a strong bias for action. This is an IC (individual contributor) role. Your Impact As a trusted advisor you will successfully influence customer outcomes and accelerate Data Cloud & Agentforce consumption You will: Work across multiple selling teams and internal stakeholders, creating clarity from chaos. Drive onboarding, enablement, success, go-live, and healthy consumption of Data Cloud & Agentforce workloads. Leverage account teams, services, customer success, education, and support resources to build and manage tasks beyond your scope of activities or expertise. Create, own, and execute a point-of-view on how key use cases can be accelerated into production. Navigate Data Cloud & Agentforce Product and Engineering teams for new product innovations, pilot programs, and upgrade needs. Provide internal and external updates on KPIs related to usage and customer health, covering important risks, product adoption, and use case progression. Develop mutual success plans with customers. Help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Data Cloud workloads. Your demonstrated impact includes: Experience: 7+ years in customer-facing solutioning for Data, Analytics, AI, and CRM. Technical Expertise: Full-stack technical qualifications (CRM, Data Architecture, AI/ML) and experience managing technical relationships with C-Level executives. Communication Skills: Ability to drive effective conversations at the C-level, facilitate difficult discussions, and handle objections adeptly. Trusted Advisor: Proven success as a trusted advisor, understanding customer motivations and needs to drive business value, and experience integrating complex data architectures. Customer Success: Experience driving customer success in large, complex selling organizations. Industry Knowledge: Deep understanding of industry-specific use cases, data architectures, and integration patterns. Influence and Leadership: Persuasive verbal, written, presentation, and interpersonal communication skills that influence change in large organizations. Technological Awareness: Staying up-to-date with emerging marketing, data-related, and AI technologies. Proactive Attitude: A self-starting attitude with the ability to handle tasks independently while collaborating remotely with customers and colleagues. Data Ethics and Privacy: Commitment to data ethics and privacy, ensuring customer solutions adhere to relevant regulations and best practices in data security and privacy. Product Development: Hands-on experience building 0-1 products at startups or large companies. Facilitation Skills: Excellent workshopping and whiteboarding skills. Primary Responsibilities Develop an understanding and knowledge of customer's Salesforce Data Cloud & Agentforce implementation and evangelize the capabilities of Data Cloud & Agentforce. Engage with strategic customers to understand their goals, assess their capabilities, and provide recommendations to help them accelerate consumption to achieve their business and technology objectives. Have a passion for operational excellence that drives scalable consumption, ACV growth, and customer success. Skilled at guiding impactful discovery conversations to unveil nuanced client needs and identify creative solutions through customization. Guide a customer on org strategy, governance, and change management standard processes based on customer needs. Demonstrate hands-on Data Cloud & Agentforce product knowledge by applying platform features and functions to customer business priorities and roadmap. Proactively identify risks to the customer achieving their stated business goals and work with the account team to build a risk mitigation plan. Produce and implement a comprehensive adoption path showing the current state, target future state with timeline, and an underlying enablement Plan. Deliver value and innovation to a customer's business by understanding our customers' key business challenges and potential for growth. Build and cultivate executive-level relationships with the customer's IT and business executive leadership, sponsors, and decision makers to solidify our partnership and dedication to the customer business and IT sponsors & collaborator. Working with the account team and Salesforce Execs, effectively network within accounts from the Executive-Level down, in order to help customers work towards their goals. When appropriate, recommend additional Salesforce services and advisory experts needed to drive success. Proactively communicates technical product changes, degradations, outages, end of life, and other relevant updates. Collaborate with Salesforce product teams to deeply understand Salesforce solutions and roadmap, and advocate for key features needed for success across the Industry/Territory via Voice of the Customer feedback. Collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Salesforce Data Cloud platform in your accounts. Technical Abilities As a deep subject matter expert, you will have a rare set of technical proficiencies, including: Salesforce Smart: Deep, technical knowledge of the Salesforce platform (Salesforce Admin and Advanced Admin level certifications, hands-on experience with Salesforce Clouds). Deep understanding of Martech Stack with hands on experience with Salesforce Marketing Cloud or similar products Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning). AI & ML Expertise: Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Curiosity & Continuous Learning: Passion for exploring emerging AI research, frameworks, sharing insights, and experimenting with pioneering technologies. Actively stays up to date on new LLM models and agentic approaches, experimenting with prompt engineering to drive innovation. NOTE: This is an office-flexible role. The expectation is to be in-office 2 days a week when local to an office. Our Investment In You World-class enablement and on-demand training - check out trailhead.com for a sneak peek! Exposure to executive thought leaders with a passion for living our values Clear path to promotion with accelerated leadership development programs Weekly 1:1 coaching with your leadership Fast Ramp mentorship program Week-long product bootcamp Sandler Sales Training Volunteer Opportunities Have you heard of our 1:1:1 model, focused on giving back to the community? The success in giving back have helped us and our Trailblazer community become a leader in philanthropy, culture, and innovation. We are one of the World's Most Innovative Companies, according to Forbes, we are #1 in PEOPLE's Top 15 Companies that Care, and are on Fortune's Change the World list. Values create value. Our values helped drive our revenue number to $13.28 billion dollars in fiscal years in 2019. We have a public-facing website that explains our various benefits for: Health benefits Financial benefits and perks Time off and leave policies Parental benefits Perks and discounts Visit salesforcebenefits.com for the full breakdown. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality and explore our company benefits. Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce. Salesforce welcomes all. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $143,850 to $261,170. For Washington-based roles, the base salary hiring range for this position is $143,850 to $261,170. For Washington D.C based roles, the base salary hiring range for this position is $143,850 to $261,170. For California-based roles, the base salary hiring range for this position is $143,850 to $261,170. For Illinois based roles, the base salary hiring range for this position is $143,850 to $261,170. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com .

Description Our Regulatory Reporting Data & Automation Manager position is a highly visible and impactful position working on Huntington's regulatory financial filings. The primary responsibility will be to work across segments to drive the end-to-end automation of the required regulatory filings in compliance with the standards and guidance from the appropriate institution including the Federal Reserve, Federal Financial Institutions Examination Council (FFIEC) and Office of the Comptroller of the Currency, for Huntington Bancshares Incorporated and The Huntington National Bank, as well as work on other internal priority projects. Collaborate, build relationships and communicate requirements across the organization to gather reportable data, including providing business requirements to data partners (including IT and Finance Data Resource Group) and complete user acceptance testing of the resulting efforts. Identifies and works with others within the organization to improve reporting data and generate additional operational efficiencies while maintaining strong compliance with regulatory requirements. Collaborates with other Regulatory Reporting colleagues to ensure efficient and effective reporting and assists, as needed, with periodic reporting processes, including but not limited to the Call Report, FR Y-9C, FR Y-14M, FR Y-14Q, FR Y-14A, FFIEC 009, FR Y-15, Basel III, and other reports as needed. Ensures the maintenance of procedural documentation for the regulatory reporting process and execution of appropriate review controls. Identifies, articulates, and coordinates regulatory reporting issues with Risk Management, Internal Audit and Legal. Analyze results and provide insightful detail to management for trends and fluctuations. Special projects related to regulatory reporting efforts, as needed. Leads and participates in quality control efforts to ensure information used and reported in regulatory reports is consistent between reports and schedules, and with other internal and external reporting, as applicable. Basic Qualifications: Bachelor's degree in accounting, finance, economics, or information technology 7+ years of experience in auditing, regulatory and/or SEC reporting or regulatory related field. Preferred Qualifications: Public accounting and/or external financial reporting experience. Financial services sector experience. Control mindset and demonstrated ability for process improvement. Excellent written and verbal communication skills. · Detail oriented and highly organized. Enjoys working in a team environment. Strong problem solving and analytical skills. Ability to multi-task and self-prioritize tasks to assure each task is completed timely and accurately. Strong time management skills to allow for adherence to deadlines. Proficiency in Excel using advanced functions and complex formulas. Experience in banking regulations and/or core banking processes is considered a plus. Experience using Axiom/Adenza ControllerView Reporting software, Microsoft Office with Outlook, Access, Wdesk, Wdata, and Essbase knowledge considered a plus. Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: $70000-$140000 Annual Salary The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning. Position Description As a Senior Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. Our team thrives and succeeds in delivering high quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data processing and pipeline development to dimensional data modeling and reporting. Position Responsibilities As a Senior Engineer, you will: Scope, design, and build scalable, resilient distributed systems Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions Use your technical expertise to shape product definitions and drive towards optimal solutions Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization Engage in cross-functional collaboration throughout the entire development lifecycle Manage data pipelines, ensuring consistent data availability Mentor other engineers Consistently share best practices and improve processes within and across teams Qualifications Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes) Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred) Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines Experience architecting and designing new ETL and BI systems Experience with supporting existing ETL and BI systems Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions Ability to balance the competing needs of multiple priorities and excel in a dynamic environment Advanced understanding of DevOps concepts including Azure DevOps framework and tools Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication) Understanding of microservices oriented architecture and REST APIs and GraphQL Advanced understanding of data quality monitoring and automated testing Strong problem-solving ability Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred Experience 4+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies 3+ years of experience with data architecture and design 3+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience with ETL and/or BI tools 2+ years of experience in Big-data tools like Spark and Databricks Education Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience Annual Salary $95,000.00 - $215,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In testing and quality assurance at PwC, you will focus on the process of evaluating a system or software application to identify any defects, errors, or gaps in its functionality. Working in this area, you will execute various test cases and scenarios to validate that the system meets the specified requirements and performs as expected. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Software and Product Innovation - Testing and Quality Assurance team you, you manage test data operations and oversee the successful implementation of test data management capabilities across testing life cycles. As a Manager, you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are responsible for project success and maintaining exemplary standards, while utilizing your broad knowledge in test data management tools and methodologies. Your role involves motivating and inspiring others to deliver quality, embracing technology and innovation, and upholding professional and technical standards. Responsibilities Oversee the execution of test data operations across various testing phases Guide and develop team members in test data management practices Strategize and implement plans to enhance client service delivery Maintain adherence to top standards and project timelines Utilize innovative technologies to improve testing processes Inspire and motivate teams to achieve excellence in deliverables Maintain compliance with professional and technical guidelines Foster a culture of continuous improvement and learning What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Certifications preferred: Test Data Management Tool Preferred field(s) of study: Computer Engineering Demonstrating experience as a Test Data Manager Utilizing tools like Talend, Delphix, Informatica TDM Implementing TDM capabilities across testing life cycles Understanding of Python and Snowflake Working knowledge of database management systems Demonstrating experience with Agile methodologies Excelling in communication and problem-solving skills Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About the team: We are the Data Center department at GTA-a forward-thinking group with a passion for innovation, reliability, and operational excellence. Our team is dedicated to supporting the critical infrastructure that powers GTA and its customers. We strive to make an impact through collaboration, continuous improvement, and a commitment to secure and efficient data center operations. We take pride in being a dependable force behind the scenes, ensuring that GTA remains competitive, resilient, and future-ready. Who we are looking for: GTA Data Centers is seeking a hands-on Data Center Infrastructure Technician with strong experience in both critical power and mechanical cooling systems. This role is ideal for someone who thrives in high-reliability environments and brings a detail-focused, safety-first approach to maintaining essential infrastructure. If you're skilled in troubleshooting AC/DC electrical systems, HVAC equipment, and monitoring platforms-and take pride in keeping systems running smoothly-we'd love to hear from you. Still interested? Here's what the role looks like: In this role, you'll be part of the team responsible for keeping our data center's critical infrastructure running reliably and efficiently. You'll work hands-on with power and cooling systems, monitor performance in real time, and help ensure a stable environment for our technology to thrive-all while following strict safety and operational protocols. This is a role for someone who takes pride in precision, stays calm under pressure, and is driven to solve problems before they become issues. Power Systems: Perform routine preventative maintenance, corrective repairs, and advanced troubleshooting on critical AC (Alternating Current) and DC (Direct Current) power infrastructure, including Uninterruptible Power Supplies (UPS), Power Distribution Units (PDUs), DC Rectifiers, batteries, generators, and Automatic Transfer Switches (ATS). Cooling/HVAC Systems: Perform routine preventative maintenance, corrective repairs, and basic-to-intermediate troubleshooting on mechanical cooling infrastructure, including Computer Room Air Conditioning (CRAC) / Computer Room Air Handler (CRAH) units, chillers, cooling towers, pumps, and associated controls. Monitoring & Control: Monitor facility systems using Building Management Systems (BMS), Electrical Power Monitoring Systems (EPMS), and SCADA systems. Respond to alarms, investigate anomalies, and take corrective action to ensure stability and efficiency of both power and environmental conditions (temperature, humidity, airflow, pressure). Inspections & Reporting: Conduct regular physical inspections and operational checks of data center critical infrastructure (power, cooling, life safety). Meticulously complete logs, checklists, and maintenance records. Document all work performed, incidents, and changes according to established procedures. Infrastructure Support: Perform physical installation, relocation, and decommissioning of server racks, IT equipment, and associated power/cooling components, ensuring adherence to best practices for power distribution and airflow management. Cabling & Connectivity: Install, terminate, and test power cabling (AC whips, DC circuits) and assist with network/structured cabling as needed, ensuring adherence to standards and proper cable management techniques. Safety & Compliance: Adhere strictly to all safety protocols, including Lockout/Tagout (LOTO) procedures, Method of Procedures (MOPs), Standard Operating Procedures (SOPs), and Emergency Operating Procedures (EOPs). Maintain a clean, organized, and safe working environment. Assist with compliance documentation and audits. Optimization & Efficiency: Assist engineering teams in optimizing power and cooling systems for increased efficiency, reliability, and capacity management. Identify opportunities for improvement. Vendor Management: Adhere strictly to all safety protocols, including Lockout/Tagout (LOTO) procedures, Method of Procedures (MOPs), Standard Operating Procedures (SOPs), and Emergency Operating Procedures (EOPs). Maintain a clean, organized, and safe working environment. Assist with compliance documentation and audits. Emergency Response: Respond to facility emergencies, participating in diagnostics and corrective actions as part of the incident response team. General Duties: Perform other related duties as assigned to support data center operations This is what you need to have: High school diploma or GED equivalent. Associate degree, vocational training, or technical certifications in Electrical Systems, HVAC/Refrigeration, Electronics, or a related technical field are strongly preferred. Minimum 1-3 years (adjust as appropriate) of experience working with critical infrastructure in a data center, hospital, industrial plant, or similar 24/7 critical environment. Direct experience with both power and cooling systems is highly desirable. Solid understanding of data center power and cooling architectures, redundancy concepts (N, N+1, 2N), and best practices. Familiarity with basic electrical theory, mechanical theory, and testing equipment (multimeters, clamp meters, thermal imagers, etc.). Basic understanding of structured cabling. Ability to read and interpret electrical single-line diagrams, mechanical P&IDs (Piping and Instrumentation Diagrams), and control schematics Maintain a valid Driver's License and ability to obtain/maintain a US Passport. If you are still interested and the values below resonate with you, apply today! GTA Val-You's: Our Customers Matter. Build Trust Through Respect. Be Accountable. Learning is Growth. Lead with Care. Win Together. Be a Game Changer. Teleguam Holdings LLC dba GTA is an Equal Opportunity Employer Teleguam Holdings LLC, dba GTA is an Equal Opportunity employer dedicated to building an inclusive and diverse workforce as we see this is critical to the success of our company. Having diverse perspectives, experiences, and skills within our teams allows us to learn from each other and grow as individuals, which leads to better work and outcomes. Through our actions, our goal is to create long term impactful change throughout the company and our island community. However you identify or whatever background you come from, we welcome you to be a part of this change. We ask that you apply to a role that excites you and where you can bring your authentic, best self to work. Keep in mind that all aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Read more about our commitment to these principles in the Department of Labor's EEO notices and Guam Department of Labor notices. Other applicable federal employment laws include Family Medical Leave Act (FMLA) and Uniform Services Employment and Reemployment Act (USERRA). Accommodations for Applicants with Disabilities Teleguam Holdings LLC, dba GTA has always worked to provide qualified applicants and employees who are disabled veterans or individuals with disabilities with needed reasonable accommodations in accordance with the ADA. If you have difficulty using our online system due to a disability and need an accommodation, please email us at humanresources@gta.net or call us at (671) 644-0300. This job announcement closes on Friday, May 2, 2025.

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position We're looking for a Senior Data Engineer to join the Data Platform team at Formation Bio to help transform Electronic Health Records (EHR) data into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team to model, transform, and refine data for operational and scientific use cases. This position sits at the intersection of healthcare data engineering, modern data platform infrastructure, and generative AI. While your initial focus will be on building high-quality EHR models for Formation Bio platform, you'll also contribute to our broader data architecture by leveraging tools like Snowflake, Dagster, and dbt to enable scalable, governed, and high-reliability pipelines. The ideal candidate combines deep data engineering experience with both GenAI fluency (e.g., LLM-based entity extraction, summarization, classification) and strong technical expertise with modern data tooling. You'll play a key role in shaping how healthcare data becomes discoverable, structured, and impactful across the organization. Responsibilities Model and transform raw EHR data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like FHIR, HL7, or OMOP. Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine. Collaborate with Data Science and product stakeholders to co-develop cohort logic, derived features, and structured outputs that meet real-world scientific needs. Apply Generative AI techniques within transformation layers-using LLMs for named entity recognition, document summarization, classification, and schema alignment. Write robust, testable, and version-controlled code that adheres to CI/CD and data governance best practices. Implement data validation and observability frameworks to ensure quality, trust, and reproducibility of datasets. Document transformation logic, assumptions, and data lineage in collaboration with metadata and cataloging systems. Contribute to the evolution of the Data Platform by helping define standards, patterns, and best practices around GenAI and platform-scale data engineering. About You You have 5+ years of experience in data engineering, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR datasets. Experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH, etc.)] Experience and understanding of modalities found within EHR datasets incl. Billing claims, lab results, visit notes, images Experience in biomedical feature engineering, e.g. variable transformations and derivatives You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics, science, or operational workflows. You have hands-on expertise with modern data infrastructure, including: You're experienced in applying GenAI techniques within pipelines, including prompt engineering, LLM-based entity extraction, and classification/summarization workflows. You value clarity, documentation, and structured thinking-especially when working with complex data like healthcare records. You have a growth mindset and are excited to build bridges between isolated data environments and governed, shared models that power scientific innovation. Bonus: You've worked in regulated or privacy-sensitive data environments, and you're familiar with governance models for PHI or sensitive data Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate. Compensation: The target salary range for this role is: $230,000 - $280,000. Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you. You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #LI-hybrid

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role Insights from data power most decisions at Robinhood and our company trajectory is defined by the systems, tools, and analytics powered by this exceptional team. As a Data Scientist working on Fraud and Risk, you would work with backend engineers, product managers and operations teams across the company to understand and mitigate the risks to our business. Robinhood faces unique data challenges with a focus on integrating complex data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to understand user behaviour and the risks to our business. We are looking for a Data Scientist to drive the growth and remediate the abuse of Instant Deposit product, which offers customers immediate access to their deposit for trading. This is a crucial role that helps Robinhood to provide the most seemless experience in trading. The ideal candidate is passionate about understanding the different fraud vectors at a fast-growing company and building solutions to mitigate these risks. This team is part of the larger Data Team here at Robinhood. What you'll do Combining knowledge of fraud risk and market risk to improve our understanding of risk exposure to Instant Deposit, and partner with product managers to set the product strategy. Perform exploratory analysis and build monitoring dashboard on large scale datasets to assess the Instant Deposit product from the lense of revenue-risk trade off, and decomposition of different risk dimensions. Partner with other data scientists and software engineers in designing machine learning systems to power decisions in offering Instant Deposit access that is customized to customers and asset classes. Launch modeling solutions through A/B experimentation, extract insights from experiment outcome to drive future strategy. What you bring Graduate degree or equivalent experience in a quantitative field like mathematics, economics, statistics, engineering or natural sciences. 5+ years of relevant experience as a data scientist or quantitative analyst. Familiarity with ACH fraud and market risk of various assets, including equity, option, crypto, futures. In-depth knowledge of quantitative finance models, including but not limited to asset volatility models, and options pricing models. Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL and Spark. Experience with experimentation and communicating data driven insights. Problem solving skills and a can-do attitude to dive deep into data to solve business problems What we offer Market competitive and pay equity-focused compensation structure 100% paid health insurance for employees with 90% coverage for dependents Annual lifestyle wallet for personal wellness, learning and development, and more! Lifetime maximum benefit for family forming and fertility benefits Dedicated mental health support for employees and eligible dependents Generous time away including company holidays, paid time off, sick time, parental leave, and more! Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $179,000-$210,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $157,000-$185,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $139,000-$164,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Job Description: Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. We're actively seeking a talented Senior Data Analyst to join our Systems Solutions Team in Newport Beach, CA. This role is on-site. You'll work at our state-of-the-art Newport Beach headquarters. Our work schedule is in-office four times per week, with a dynamic work-from-home day each week. You will fill a new role that sits on a team of four people in the Enterprise Actuarial Projects department. Your colleagues will include fellow data analysts, automation, and business process improvement professionals. How you'll help move us forward: Perform advanced data analysis to support strategic initiatives, improve operational efficiency, and identify automation opportunities. Lead the design and deployment of automation solutions for repetitive or manual business processes across departments using Appian, Alteryx, Python, AI, and Power Automate. Apply practical experience with AI tools (e.g., Amazon Bedrock, Snowflake Cortex) to enhance analytical capabilities and accelerate current business processes. Work with internal business partners to understand workflows and paint points to implement optimal solutions. Create interactive dashboards for upper management using tools like Tableau and Power BI. Provide guidance and mentorship to junior analysts and business users on best practices. The experience you bring: Bachelor's or master's degree in data science, mathematics, statistics, computer Science, or related field. 10+ years of experience in data analysis, business process improvement, or automation (business processes, testing, etc.). Extensive experience with Alteryx, developing complex workflows for automation and data validation. Experience in life insurance, reinsurance, financial services, or actuarial functions and systems. Advanced SQL Programming skills. Experience using Python for automation scripting and data manipulation. Proven ability to identify manual processes and deliver effective, scalable automated solutions. Familiarity with Agile methodology and practices using tools like Jira or Azure DevOps. Excellent analytical, communication, and problem-solving skills. What makes you stand out: Experience using AI tools such as Amazon Bedrock, Snowflake Cortex, or similar platforms. Experience using RPA tools such as UiPath or Power Automate. Previous personnel management experience and/or an interest in personnel management. Experience creating interactive dashboards for upper management using tools like Tableau and Power BI. Experience working with and building out Appian functionality You can be who you are. People come first here. We're committed to an inclusive workforce. Learn more about how we create a welcoming work environment at www.pacificlife.com. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. #LI-JF1 Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as the Enterprise Data Leader at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. The Enterprise Data Leader will oversee MMA's data strategy, ensuring data governance, quality, and accessibility to support business decision-making. This role will lead initiatives for data integration and management across the enterprise, including a strong focus on enhancing the integration of acquisition data. Working with business strategy leadership, this role will be at the forefront of the MMA data platform, responsible for overseeing the collection, management, and analysis of data across MMA. In addition this leader will support global MMC initiatives to bridge and unify data when applicable to MMA. This role will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. The Enterprise Data Leader will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Guiding the team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering the team, this leader will champion a culture of data-driven decision-making and continuous improvement across the organization. Staying abreast of emerging technologies and industry trends, they will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Key Responsibilities: Data Platform Leadership: Own the design, implementation, and management of enterprise data platforms, including data lakes, data warehouses, and data integration tools. Partner with infrastructure and security teams to ensure scalable, resilient, and secure environments. Data Architecture and Engineering: Define and evolve data architecture standards and patterns for ingestion, transformation, and delivery. Oversee the development and support of robust data pipelines to ensure high-quality, timely data access. Responsible for aligning data architecture with enterprise architecture and business goals to ensure that data systems are integrated effectively, including strategy around new acquisition data integration. Governance & Quality: Operationalize data governance across domains, driving metadata management, lineage, stewardship, and quality frameworks. Collaborate with legal, compliance, and security teams to ensure all data meets regulatory and privacy standards. Team Leadership & Organizational Development: Lead and grow a team of data architects, engineers, and governance professionals. Create a high-performing, collaborative, and accountable team culture aligned with enterprise goals. Business Partnership & Enablement: Partner with analytics, operations, and functional leaders to deliver reliable data services that meet strategic and operational goals. Act as a key advisor to the enterprise data strategy group, shaping priorities, investments, and adoption paths. Operational Oversight: Ensure efficient operations, capacity planning, and incident response within the data services domain. Establish SLAs, KPIs, and reporting to measure data team performance and platform value. Emerging Technologies Evaluation: Stay informed about emerging data technologies and industry trends, evaluating their potential impact on the enterprise data environment and recommending adoption where appropriate. Our future colleague. We'd love to meet you if your professional track record includes these skills: Enterprise Data Architecture: Extensive experience in designing and implementing enterprise data architectures that support data integration and analytics initiatives. Data Governance Expertise: In-depth knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and integrity. Analytical Tools Proficiency: Familiarity with data analytics tools and programming languages (e.g., SQL, Python, R), as well as data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. MMA IT Leadership Core Requirements: Business Acumen: Strong understanding of business operations and strategy, with the ability to align technology decisions with business goals and drive value for the organization. Cross-Functional Leadership Experience: Proven ability to lead cross-functional teams and initiatives, fostering collaboration among IT, business units, and other stakeholders to achieve common goal. Strong Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex architectural concepts to both technical and non-technical stakeholders effectively. Problem-Solving Skills: Strong problem-solving skills, with a track record of identifying and resolving complex technical challenges. Leadership and Mentorship: Demonstrated leadership skills, with experience mentoring and developing team members and proven track record of growing leaders. Financial and Operational Management: Proven ability to manage team budgets, ensuring financial resources are utilized effectively to meet key metrics, project and departmental goals. Enterprise Transformation: Demonstrated experience in leading large-scale enterprise transformation initiatives, including successful implementation of new technologies and processes. Change Management: Proven experience in leading change management efforts related to technology, people, process and digital enablement ensuring stakeholder buy-in. Agile Transformation Leadership: Experience in leading Agile transformation initiatives within IT teams, fostering a culture of collaboration, flexibility, and responsiveness to changing business needs. Continuous Improvement Focus: A commitment to fostering a culture of continuous improvement, leveraging feedback and lessons learned to enhance processes and practices. Regulatory Compliance Experience: Familiarity with industry-specific regulatory or business control requirements (e.g., SOC, NYDFS, ITGC, HIPAA) and experience in ensuring that enterprise technology solutions comply with these requirements. Culture and Engagement: Experience working in diverse, global teams, with an understanding of cultural differences and the ability to foster an inclusive, authentic environment that values diverse perspectives and builds a community of colleague engagement and satisfaction. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-REMOTE The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 29, 2025

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 1 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $63,000 - $140,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Managed Data, Analytics & Insights team you are expected to lead the creation and implementation of impactful learning initiatives. As a Senior Manager you are expected to guide the execution of our Infinite Learning Strategy, maintaining a customer-centric approach that supports PwC's goals and vision. You are responsible for building trust with multi-level teams and stakeholders through open and honest conversation, motivating and coaching teams to solve complex problems. Responsibilities Lead and manage customer relationships for Data & Analytics engagements Collaborate with IT and business to transform insights into strategic opportunities Guide a team of managers, data architects, and engineers Drive business outcomes through analytics interventions Develop and implement impactful learning initiatives Maintain alignment with PwC's goals and vision Foster trust through open and honest communication Motivate and coach teams to solve complex problems What You Must Have Bachelor's Degree 12 years of experience What Sets You Apart Bachelor's Degree in Computer and Information Science, Information Technology preferred 10 years in data and analytics management 8 years leading data and analytics relationships 3-5 years with managed services organization Broad experience with ITIL processes Working with CxOs to drive business outcomes Leading cloud scale development for data integration Leading ideation and development of accelerators PMP certification or scrum master Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance