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Dominion Energy is committed to providing reliable, affordable, and increasingly clean energy that powers our customers every day. If you want to work for a purpose-driven company that values safety and collaboration, we're looking for you. You won't just find a job here; you'll find your career. Review the position below and apply today. We offer a hybrid work schedule (one week in the office, one week of teleworking) to accommodate the need for flexibility. Military service members and veterans with a rank of E-5 or higher plus appropriate equivalent combination of education and years of experience as outlined below will be considered for this opportunity. At this time, Dominion Energy cannot transfer or sponsor a work visa or employment authorization for this position. This position does not offer relocation assistance. Job Summary Dominion Energy is seeking a manager - Data Governance & Responsible AI to lead and inspire the governance and compliance function within our newly established Data Factory organization. Reporting directly to the Chief Technology Officer (CTO), this role is pivotal in shaping how we responsibly manage and use data across the enterprise. We're looking for a strategic leader who can build strong partnerships, foster a culture of accountability, and champion ethical and compliant data practices. This individual will guide policy development, oversee governance processes, and ensure alignment with business priorities-while empowering teams to make data-driven decisions confidently and responsibly. Required Knowledge, Skills, Abilities & Experience Key Responsibilities Leadership & Vision Lead and grow the Governance and Compliance team, setting a clear vision and priorities. Develop and implement an enterprise-wide data governance strategy aligned with Dominion Energy's goals. Serve as a trusted advisor to the CTO and senior leadership on governance and risk matters. Policy & Standards Own and maintain enterprise data policies, standards, and guidelines for data and AI use. Ensure policies meet regulatory requirements and reflect industry best practices. Governance Council Leadership Establish and lead the Data Governance Council, driving collaboration and accountability across business units. Facilitate decision-making and ensure consistent policy enforcement. Collaboration & Engagement Partner with leaders in data operations, product delivery, and business enablement to embed governance into everyday processes. Engage with business data owners and stewards to improve data quality and compliance. Risk & Compliance Oversight Identify and mitigate data-related risks across the organization. Ensure compliance with internal controls, regulatory standards, and ethical data practices. Change Management & Enablement Champion a culture of data responsibility through training, communication, and engagement. Provide tools and resources to help teams adopt governance practices effectively. Education Requirements Education Level: Bachelor's degree in business, Information Management, or related field (Master's preferred). Preferred Discipline(s): Experience in energy or utilities sector. Familiarity with governance tools and platforms (e.g., Collibra, Informatica). Other disciplines may be substituted for the preferred discipline(s) listed above. Licenses, Certifications, or Quals Description Preferred: Certification in data governance or compliance (e.g., CDMP, CIPP, CRISC) Working Conditions Office Work Environment 76 -100% Travel Up to 25% Other Working Conditions Test Description No Testing Required Export Control Certain positions at Dominion Energy may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in Dominion Energy limiting its consideration of certain applicants. Other Information We offer excellent plans and programs for employees. Employees are rewarded with a competitive salary and comprehensive benefits package which may include: health benefits with coverage for families and domestic partners, vacation, retirement plans, paid holidays, tuition reimbursement, and much more. To learn more about our benefits, click here dombenefits.com. Dominion Energy is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin and/or status as a protected veteran or individual with a disability. You can experience the excitement of our company - it's the difference between taking a job and starting a career. Top 3 Reasons to Work at Dominion Energy There are many reasons to work at Dominion Energy, but below are the top three reasons employees have shared with us. Click on each of the links to learn more! Safety Centric Work Environment Generous Pay and Benefits Collaborative & Inclusive Culture About Dominion Energy I am your warm cup of coffee in the morning and I light your home at night. I am the cool breeze from your A/C on the hottest day in summer, and the red coil that heats your soup pot on a frigid winter's day. I am sustainable, reliable and affordable. I am not just any energy… I am Dominion Energy. We're transforming the way we do business to build a more sustainable future for the planet, our customers, our team and our industry. We're shaping the future of energy in America. Join us! Facts: 17,000 employees Headquarters: Richmond, VA 16 states in the US $100 billion of assets Nearly $35 million in charitable contributions 100,000+ volunteer hours recorded in the community Our Commitment to NetZero by 2050 Dominion Energy is committed to helping address climate change. We have cut emissions sharply as we aim for Net Zero carbon and methane emissions by 2050. Learn more at sustainability.dominionenergy.com.

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 are not just an insurance company; we are a technology-driven organization that is transforming the insurance landscape. Our mission is to leverage cutting-edge technology to deliver exceptional experiences for our customers and create innovative solutions that redefine the industry. About The Team Our Financial Data Integrity Team is at the heart of ensuring trust and accuracy in our organization's financial ecosystem. We design, implement, and manage the substantiation platform that safeguards the integrity of financial data across global systems, enabling compliance, informed decision-making, and operational excellence. What you will do As a Staff Software Engineer within our Financial Data Integrity Substantiation Platform, you will play an important role in developing and optimizing our critical data reconciliation systems. Your technical expertise will contribute to ensuring the accuracy, reliability, and scalability of our financial data infrastructure. The ideal candidate is a strong backend developer that can architect systems and has excellent team/tech lead skills. Ideal tech stack is: .NET, Snowflake, Blazor, dbt Here's what you can expect to do: Contribute to the design and implementation of high-performance, scalable reconciliation systems capable of processing billions of transactions daily Participate in making technical decisions that balance immediate business needs with long-term scalability and maintainability Work with cross-functional teams to integrate our platform with various financial systems, ERPs, and data warehouses Develop core components of our substantiation platform, writing high-quality, efficient code Provide technical guidance to other engineers on the team Follow and help improve best practices for code quality, testing, and deployment Contribute to the professional development of junior engineers through code reviews and knowledge sharing Collaborate with Finance, Compliance, and Business Intelligence teams to implement technical solutions for complex business requirements Work with Product Management to implement features that deliver maximum impact Explain technical concepts to both technical and non-technical stakeholders Minimum Requirements Bachelor's degree in data science, computer science, economics or related field; advanced degree preferred 10+ years of experience in Software Engineering Experience in one or more relevant programming languages, such as C#, Java and/or Python Experience with tools like Git, Docker, Kubernetes, and CI/CD pipelines Experience with cloud platforms like AWS, Azure, or Google Cloud Competence in SQL, NoSQL, relational database design and efficient methods for data retrieval and preparation at scale Proven ability to collect and process raw data at scale, including scripting, API integration, and SQL querying Experience in writing and optimizing SQL queries, ensure data security, and integrate Snowflake with third-party tools Experience with data modeling, ETL processes and query languages (Python, PySpark, and SQL) Demonstrated success working with cross-functional teams to integrate new platform with various financial systems, ERPs, and data warehouses Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders Experience with Agile development methodologies and CI/CD practices Be Part of Our Journey If you are a passionate technologist looking to make a difference, GEICO Tech is the place for you. Join us and be part of a team that is shaping the future of insurance technology. Together, we will create innovative solutions that improve lives and transform the industry. #LI-MK1 Annual Salary $110,000.00 - $230,000.00 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.

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. Location: This role leads an international team and can be based in any major hub in AMER or EMEA. It does not require relocation. Summary: Salesforce seeks an inspiring and transformative SVP of Sales to lead Data Cloud sales in AMER and EMEA. This impactful role requires a visionary leader with the ability to shape the direction of Data Cloud, Salesforce's data platform. The ideal candidate will bring deep expertise in data platforms, data analytics, and cloud technologies, combined with a proven track record of driving revenue growth and building high-performing, resilient sales organizations. As SVP of Data Cloud - AMER and EMEA, you will be at the forefront of revolutionizing customer data platforms. Leading a distinct specialist sales team, you will empower them with the tools and expertise to maximize the impact of Data Cloud, while fostering cross-functional collaboration. Your leadership will drive a sales organization known for its exceptional growth, enduring success, and deep influence within the Salesforce ecosystem. By championing our core values of trust, customer success, innovation, equality, and sustainability, you will set a new standard for excellence and inspire others to follow. We seek a dynamic leader with advanced technical sales expertise and a deep understanding of data and cloud technologies. In this role, you will partner closely with prospective clients to address their most pressing challenges and showcase how Data Cloud can deliver customized solutions to meet their most critical business needs. Key Responsibilities: Data Cloud Leadership: Define and lead distinct, compelling visions for Data Cloud. As the leader of this critical team, you will drive exceptional performance across a specialized sales team while fostering cross-functional collaboration to maximize the impact within the broader Salesforce organization. Cross-Functional Collaboration: Partner with various Salesforce functions (Sales, Account Management, Marketing, Finance, Employee Success, and Recruiting) to maximize resources for Data Cloud. Leverage feedback from customers and internal teams to influence product development and refine the strategic roadmap. Growth Strategy: Jointly own the long-term growth strategy for Data Cloud. Identify new opportunities within industry verticals, expand business channels, and cultivate strategic partnerships to drive business growth and expansion. Team Leadership & Talent Development: Build and lead a high-performing team for Data Cloud, driving recruitment, development, coaching, and performance management. Foster a diverse and inclusive culture that aligns with Salesforce's core values of trust, customer success, innovation, equality, and sustainability, while cultivating the next generation of Salesforce talent. Required Qualifications: Expertise in data platforms, cloud technologies, and data analytics, with a strong ability to communicate complex technical solutions to both technical and non-technical audiences. Proven experience in leading third or fourth-line strategic sales teams at national or global levels, with a track record of exceeding revenue targets. Demonstrated success in recruiting, developing, and retaining high-performing teams. Ability to drive organizational transformation, foster cultural change, and implement continuous improvements in high-growth environments. Deep experience in managing relationships within highly matrixed organizations and collaborating across multiple business units. Strong operational and analytical skills, with a passion for data-driven decision-making. Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.). Leadership Characteristics: This is a unique opportunity for a visionary leader to shape the future of customer engagement at Salesforce, leading a specialist team that is at the forefront of data platform innovation and redefining how companies connect with their customers. A blend of technical expertise and sales acumen, capable of clearly articulating complex data platform solutions to diverse audiences. Business-savvy, with a focus on translating technical solutions into measurable business outcomes. Highly curious, self-aware, and low-ego, with a creative and agile approach to problem-solving. Strong customer success orientation, ensuring post-sale satisfaction and long-term engagement. Deep technical proficiency, with a thorough understanding of how Data Cloud creates value for stakeholders. Exceptional relationship-building skills, fostering long-lasting client connections. Agile, resourceful, and results-driven, with an ability to adapt to rapidly changing environments. 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 $296,000 to $397,000. For California-based roles, the base salary hiring range for this position is $296,000 to $397,000. For Illinois based roles, the base salary hiring range for this position is $296,000 to $397,000. For Massachusetts based roles, the base salary hiring range for this position is $296,000 to $397,000. 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 .

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description We are currently seeking a Senior Data Analyst to join our centralized data team. As a Data Analyst you will be responsible for working closely with senior leadership, working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company. An ideal candidate will have proven experience as Data Analyst, with proficiency in ETL tools like Alteryx and familiarity with Domo. They have SQL processing skills, and be proficient in tools like Tableau and or Power BI. This candidate will be able to work independently, collaboratively in a fast paced environment with strong communication skills to effectively convey finding and insights to all stakeholders. Additional Duties: Prioritize and manage data request and projects, utilizing ticketing system. Acquires data from multiple data sources in order to perform analysis. Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action. Interprets data and analyze results using various statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they activate upon them and make data driven decisions. Collaborate with various partners to provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards. Develop and maintain BI dashboard and reports using DOMO (preferred) and or Power BI. Basic Qualifications Bachelor's degree in a related field, or equivalent work experience Three to four years of statistical and/or data analytics experience Preferred Skills/Experience Three to Four Years of experience in analytics, advanced analytics/statistics, predictive modeling. Proficiency in ETL tools, particularly Alteryx or ETL skills a must, with Domo experience preferred Familiarity with cloud-based data platforms such as AWS, Azure, Snowflake and Google Cloud Platform Strong Excel skills; moderate proficiency in SQL for data querying and manipulation Ability to prioritize and time management multiple concurrent projects and requests. Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets Demonstrated project management skills Effective interpersonal, and communication skills with the ability to present complex data insights to an non-technical audience Location expectations: This role requires working from a U.S Bank location three (3) or more days per week. This candidate must reside in or near Milwaukee, WI or Marshall, MN If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $75,820.00 - $89,200.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in career you love? At Align, our professionals are the key to our success. We don't just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We're a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team-work hard, play hard, be smart! We believe great communities lead to great companies. That's why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview As the Data Center Cabling Superintendent, you will lead and manage large, cabling installations for major AI and hyperscale data centers across the U.S. You'll oversee all aspects of low-voltage cabling - from planning and standards to field execution - and make sure everything is installed safely, correctly, and on schedule. You'll manage field teams (typically 50-100 technicians and contractors), coordinate with vendors, and travel frequently to active project sites. This is a full-time, salaried position offering $90,000-$110,000+, full benefits, paid time off, paid training, and performance-based bonuses. Preferred home base in Texas with extensive travel to project sites nationwide (AI build locations). Key Responsibilities Review and oversee installation of cabling and support systems in new data center white space. Set and maintain cabling standards (fiber and copper) for multiple projects. Build and manage cabling tracking sheets (pull patch schedules) Supervise and coordinate subcontractors and internal crews to keep projects on schedule. Perform on-site quality checks - verifying terminations, labeling, routing, and test results. Monitor project progress and timelines; communicate changes and updates to leadership and clients. Manage documentation including submittals, RFIs, change orders, and invoicing. Enforce safety rules and lead daily toolbox talks with field teams. Report daily field progress and any issues impacting schedules or budgets. Required Qualifications 3+ years of experience in structured cabling, low-voltage, or fiber optic systems - ideally in large data centers or mission-critical environments. Proven experience managing field cabling crews. Ability to read and understand cabling design drawings and specifications. Knowledge of labeling standards and cabling best practices. Strong Excel skills (data vetting, port mapping, tracking, pivots/macros). Excellent organization and communication skills. Comfortable working in active, live data center environments. Able to handle fast-paced, high-pressure project timelines. Willing to travel 50%-75% of the time to project sites (8-12 hour days during builds). Hands-on troubleshooting skills using OLTS, OTDR, VFL, and similar testing tools. Experience leading 25-50+ technicians across multiple sites. Knowledge of safety compliance, field documentation, and reporting. Preferred Qualifications Bachelor's degree or equivalent field experience. Experience with cabling systems for AI or HPC workloads (Spine-Leaf topology, InfiniBand, etc.). Strong understanding of racks, containment, and pathway systems. Familiar with TIA/EIA and BICSI standards and building codes. Experience working with owner's reps, vendors, and major manufacturers. Certifications like BICSI, RCDD, or TIA are a plus. Experience managing bids, RFIs, RFPs, change orders, and QA/QC documentation. Advanced troubleshooting and root-cause analysis for cabling issues. To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. PM25 Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Workplace Technology and Data Center Solutions provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

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 $100,000.00 - $230,000.00 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. GEICO will consider sponsoring a new qualified 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.

Director, Reporting & Data Analysis - Cost of Care Analytics Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Director of Reporting & Data Analysis-Cost of Care Analytics is a strategic leader responsible for advancing analytics capabilities to drive insights and decisions that improve cost of care performance. This role oversees a high-performing analytics organization, aligning resources, tools, and methodologies to deliver actionable intelligence that supports both business unit objectives and enterprise-wide healthcare affordability strategies. How You Will Make an Impact Provides visionary leadership in building and motivating a data-driven analytics team focused on cost of care insights. Directs the development of advanced reporting, analytics, and forecasting to identify key cost drivers, efficiency opportunities, and performance improvement levers. Partners with senior business leaders to translate analytics into strategy, ensuring insights directly inform cost management, operational decision-making, and value-based initiatives. Develops organizational capabilities through coaching, training, and effective talent development practices. Ensures accuracy, timeliness, and relevance of analytics deliverables across all supported business areas. Builds strong relationships with stakeholders at all levels, serving as a trusted advisor on cost-of-care performance and analytics. Manages fiscal responsibilities for assigned budgets, ensuring efficient use of resources. Establishes and enforces consistent policies, practices, and methodologies for reporting and data analysis. Leads cross-functional project management efforts, ensuring seamless collaboration across finance, clinical, and business teams. Communicates complex technical and analytical findings in clear, actionable, business terms. Minimum Qualifications: Requires a BA/BS degree and a minimum of 10 years of experience leading project teams, or any combination of education and experience, which would provide an equivalent background. Preferred Skills, Capabilities, and Experience: Deep knowledge of information management technologies and modern analytics platforms. Demonstrated track record of developing and executing analytics strategies that impact cost of care or financial performance. Experience leading multi-disciplinary teams and managing large, complex data initiatives. Strong understanding of healthcare economics, medical cost drivers, and affordability levers. Proven ability to influence and collaborate with executive leaders and external partners. Exceptional communication skills, including facilitation, consultation, and executive-level storytelling. Prior leadership in an analytics, finance, or healthcare environment with demonstrated impact on organizational performance. Actuarial, Economics or Finance background preferred. Experience Identifying medical cost drivers and mitigation factors. Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: The Data Center Program Director will provide strategic leadership and oversite for the planning, execution, and governance of enterprise-wide data center initiatives. This role will ensure alignment of technology, finance, and sourcing strategies to deliver efficient, scalable, and resilient data center operations. This position will oversee program and project management functions, drive cross-functional coordination, and implement governance framework that ensure compliance, transparency, and performance excellence. This position requires a strong understanding of data center infrastructure, lifecycle management, finance / budget, and third party management. The ideal candidate will combine technical acumen with business discipline for to optimize investment processes, business case alignment, risk mitigation, and performance enablement of the business unit. This position reports into Corporate Real Estate with "in-office" expectations. The primary locations are Charlotte, NC or Raleigh, NC with other locations being considered. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Minimize risk to critical infrastructure operations by utilizing qualified mission critical operators and key strategic vendors to ensure high availability of mission critical and information technology critical support systems. Identify the maintenance objectives of the facility and incorporate those objectives into a documented plan that includes preventive, predictive and reactive maintenance procedures. Direct maintenance activities of contract service providers (HVAC, UPS, generators, life-safety, environmental, monitoring, electrical and control systems) Monitor, record, analyze, and report on activities, trend results, and recommendations relating to building monitoring systems for critical infrastructure. Ensure strict adherence to critical change management controls to assure proper authorization and execution of work according to defined operating procedures. Provide proper training and oversight of all internal staff and external support contractors performing work in the critical environment to prevent disruption to the building infrastructure and maintain safety of all individuals. Manage annual capital and expense budget according to a long range strategic plan ensuring long-term site reliability and ongoing staff development. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in a related engineering field, or equivalent education and related training. 5 years related work experience including supervisory experience in a dedicated data center environment managing a technically oriented team. Strong technical knowledge and operational understanding of data center mechanical and electrical systems Comprehensive knowledge of relevant health and safety laws and policies Working knowledge of information technology infrastructure Excellent leadership, communication, planning and analytical skills Demonstrate ability to think and act clearly during emergency response situations Preferred Qualifications: Financial Services Experience Pertinent Trade Licenses (mechanical, electrical and other building systems) Demonstrated completion of recent and relevant continuing education programs General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers . Mistral AI participates in the E-Verify program Role Summary We are seeking a highly skilled and motivated Technical Program Manager to lead and scale human data annotation operations for our Code team. In this pivotal role, you will collaborate closely with researchers to define and drive data strategies. This role is a critical link between research, product, engineering, and annotation teams, and will be key in accelerating research at Mistral AI. What you will do Partner closely with code research team to develop data strategies and translate research needs into operationalizable human data annotation campaigns Fully own and execute human data annotation campaigns, from scoping, training, calibration, through delivery, balancing data needs, budget, and delivery timeline Design and implement a rigorous and scalable quality control process, including running automated and manual checks, synthesizing actionable insights, and driving continuous improvement Establish and manage strong relationships with annotation teams (vendors, contractors, etc.) to generate high-quality data, spanning phases across sourcing, contracts, onboarding/training, performance monitoring, etc. About you 5+ years of relevant experience, with a blend of software engineering and technical program management Strong technical foundation in Python Highly organized, detail-oriented, and able to work well under pressure - excellent project management skills, with the ability to successfully manage multiple projects simultaneously Great communication skills, capable of engaging effectively with both technical and non-technical stakeholders Autonomous and proactive problem-solver with a continuous improvement mindsetLow ego and team spirit mindset Embraces hands-on, operational work in a fast-paced and dynamic environment Nice to have: Proficiency in JavaScript/TypeScript and experience in modern web frameworks (FastAPI, Django, React, …) Experience with operations around data collection, annotation, and/or quality assurance Experience with vendor and/or contractor management Understanding of or interest in LLMs Benefits France Competitive cash salary and equity Food : Daily lunch vouchers Sport : Monthly contribution to a Gympass subscription Transportation : Monthly contribution to a mobility pass ️ Health : Full health insurance for you and your family Parental : Generous parental leave policy Visa sponsorship UK Competitive cash salary and equity Insurance Transportation: Reimburse office parking charges, or 90GBP/month for public transport Sport: 90GBP/month reimbursement for gym membership Meal voucher: £200 monthly allowance for its meals Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) US Competitive salary and equity. Healthcare: Medical/Dental/Vision covered for you and your family. Pension : 401K (6% matching) ️ PTO : 18 days Transportation: Reimburse office parking charges, or $120/month for public transport Sport: $120/month reimbursement for gym membership Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger) Visa sponsorship Coaching: we offer BetterUp coaching on a voluntary basis We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As a Gilead intern you will contribute to high-impact meaningful projects that will not only further advance our company's mission but will allow you to gain real world experience at one of the most innovative organizations in the world. You will also have opportunities to participate in special events including professional development and leadership presentations, social/network building activities and local community volunteer programs. Key Responsibilities will include, but are not limited to the following: Collaborate with Agile teams to understand requirements for R&D and PDM/Tech Ops applications. Support research/ Development or PDM /Tech Ops data science and advanced analytics use cases, including AI/ML and GenAI projects. Assist in the development, deployment, and integration of scientific and business applications into HPC and cloud environments. Build and maintain data pipelines and ETL processes for large-scale data sets. Conduct data cleaning, transformation, and analysis using statistical and machine learning techniques. Develop data visualizations and dashboards to communicate insights. Integrate Data & Analytics workflows from other platforms with enterprise environments. Contribute to solution documentation and present your work at the end of the internship. Participate in team meetings, professional development events, and community activities. Stay technically current through education and planning. Showcase your work with a final presentation (PPT) near the conclusion of your internship Required Qualifications: Must be at least 18 years old Must have a minimum GPA of 2.8 Authorized to work in the United States without Sponsorship now or in the future or CPT/OPT through your University. Must be currently enrolled as a full-time student in a Bachelor's/Masters/MBA/PhD program at an accredited US based university or college Must be a Rising Sophomore, Junior, or Senior in undergrad or a Graduate or Doctoral Student Must be enrolled full-time in the Fall Semester at an accredited university/college after the completion of the internship Must be able to complete a 10-12 consecutive week internship between May and August Must be able to relocate if necessary and work at the designated site for the duration of the internship Preferred Qualifications: Proficiency with MS Office Suite Ability to identify issues and seek solutions Ability to work both independently and collaboratively Demonstrated commitment to inclusion and diversity in the workplace Efficient, organized, and able to handle short timelines in a fast-paced environment Gilead Core Values: Integrity (Doing What's Right) Inclusion (Encouraging Diversity) Teamwork (Working Together) Excellence (Being Your Best) Accountability (Taking Personal Responsibility) The expected hourly range for this position is $19.00 - $55.00. Gilead considers a variety of factors when determining base compensation, including education level and geographic location. These considerations mean actual compensation will vary. Benefits include paid company holidays, sick time, and housing stipends for eligible employees. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday.

Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* - all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City. Banking services provided by MVB Bank, Inc., Member FDIC About the team and the role: Intuit Credit Karma seeks a seasoned Staff Data Engineer to play a key role in building a comprehensive data model for our Unified Customer Profile, a critical component of Intuit's competitive advantage. With a strong background in data architecture and engineering, you will design and implement scalable data solutions that support multiple use cases across different products or domains. Your expertise will directly impact the direction of engineering teams and influence company-wide data strategies, fostering a culture of innovation and operational excellence. This role carries significant responsibility and visibility-as a Staff Engineer, you'll be one of the most senior leaders shaping both the technical vision and the culture of our organization. You'll set the tone, inspire the team, and be a driving force behind our success. We seek engineers who act decisively and focus relentlessly on delivering practical solutions. If you're ready to step up, lead with impact, and help define the future, this opportunity is yours. What you'll do: Develop and Conceptualize Data Architecture Capabilities: Design, develop, and own data architecture capabilities for large-scale projects, focusing on data ingestion, processing, storage, and retrieval, while evaluating design and operational cost-benefit tradeoffs within systems. Build Unified Customer Profile: Lead the development of a comprehensive data model and services for Credit Karma and Intuit's Unified Customer profile, integrating financial data across multiple sources and systems, ensuring data quality and governance. Understand Capability Customers: Collaborate with stakeholders to understand the needs of capability customers, including data scientists, product managers, and business leaders. Develop and Drive Data-Driven Roadmaps: Develop roadmaps for data architecture capabilities that align with business objectives and overall technology strategy, influencing engineering, product and cross-functional teams to identify data opportunities and drive impactful business decisions. Establish Data Architecture Best Practices: Develop, maintain, and enforce data architecture standards, best practices, and design patterns to ensure consistency and quality across data capabilities. Enable Seamless Data Integration and Interoperability: Foster data integration and interoperability across Credit Karma and Intuit's systems, enabling seamless data sharing and powering personalized member experiences by solving complex data integration problems using optimal ETL patterns, frameworks, and query techniques. Optimize Data Infrastructure for Efficiency: Optimize data pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts, ensuring efficient and effective data integration and processing. Mentor and Develop Team Members: Mentor team members by giving/receiving actionable feedback, promoting growth and development. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience with 10+ years of relevant experience. Deep understanding of data modeling principles, including schema design and dimensional data modeling, with experience in writing efficient SQL queries. Experience with data processing, storage, and querying technologies (e.g., Hadoop, Spark, Flink Streaming, Bigquery, Dataflow, Airflow, Bigtable, Spanner and Dynamo) and object-oriented programming languages (e.g., Python, Java, C++). Experience with semantic search (e.g Vertex AI search, AWS cloud search) and knowledge graph (e.g neo4j, ..) to integrate our data with generative AI experiences Strong background in data science, with experience identifying data gaps and inconsistencies, and communicating data warehouse plans to internal customers. Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering. Excellent technical communication skills, with the ability to collaborate with cross-functional teams and drive technical innovation in data engineering. Benefits at Credit Karma includes: Medical and Dental Coverage Retirement Plan Commuter Benefits Wellness perks Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More) Education Perks Paid Gift Week in December Pay Transparency Notice: Credit Karma's mission of championing financial progress for all starts from within. That's why we implemented role-based compensation, which ensures people who are in the same role receive the same pay with variations for geographic location only. It's all part of a more comprehensive DEI strategy that helps level the playing field. The base salary for this role is $354,878, plus equity and benefits. Equal Employment Opportunity: Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws. Credit Karma is also committed to a diverse and inclusive work environment because it is the right thing to do. We believe that such an environment advances long-term professional growth, creates a robust business, and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. We've worked hard to build an intensely collaborative and creative environment, a diverse and inclusive employee culture, and the opportunity for professional growth. As part of the Credit Karma team, your voice will be heard, your contributions will matter, and your unique background and experiences will be celebrated. Privacy Policies: Credit Karma is strongly committed to protecting personal data. Please take a look below to review our privacy policies: US Job Applicant Privacy Notice UK Job Applicant Privacy Notice

About General Intuition The most powerful foundation models are trained on written words. But human intelligence far exceeds language. Truly intelligent machines must move from words to worlds, and acquire the capacity to perceive, anticipate, and improvise. They need to obtain a general intuition of reality. We embrace games as the ultimate expression of ingenuity and problem solving. General Intuition builds on the strength of Medal, the world's largest and fastest-growing platform for gaming moments. Every year, our players capture billions of gameplay clips, each representing a unique, action-packed highlight. Across countless environments, this diversity leads to uniquely capable agentic systems. For the past year, we've been pushing the frontier across: Agents capable of deep spatial and temporal reasoning World models that provide training environments for those agents, and Video understanding with a focus on transfer beyond games The Role We're looking for a Senior/Lead Data Analyst to own the quality of the video data that powers Medal's machine learning features. You'll partner closely with ML researchers, data engineering, and product to measure, diagnose, and improve the accuracy, completeness, and reliability of our video datasets and labels. If you love turning messy, high-volume media data into trustworthy, measurable assets-and you get excited about building feedback loops that make ML systems smarter-this is for you. You Will Own the video data quality program: define quality KPIs (coverage, precision/recall, calibration, temporal alignment, label latency, drift) and build dashboards that make them visible company-wide. Audit datasets at scale using SQL and Python: create automated checks for codec/bitrate/fps/resolution, audio/video sync, corruption, duplicates, and long-tail coverage by game, device, and region. Design ground-truth pipelines: human-in-the-loop reviews and labeling guidelines; measure annotator agreement, and iterate to improve label quality. Diagnose model-data issues: collaborate with ML to localize failure modes, quantify data gaps, and prioritize data collection or relabeling to move accuracy on real user content. Detect bias and drift across games, platforms, and cohorts; propose mitigations and monitor post-launch. Instrument product and ingestion to capture the metadata ML needs (e.g., encoding, device, frame rate, content type) while respecting privacy and safety constraints. Run experiments: design and analyze A/Bs and holdouts to connect data quality improvements to model and product outcomes. Champion best practices in data contracts, validation, reproducibility, and documentation; mentor analysts and influence data quality culture. Work on-site at our NYC office 5 days a week. You Need 5+ years in data analytics or data science with a focus on media or ML data quality in production systems. Fluency in SQL and Python (Pandas/NumPy); you're comfortable building reproducible notebooks and code-reviewed pipelines. Strong measurement chops: you've defined and computed label & model quality metrics (precision/recall/F1, mAP, AUROC, calibration, temporal IoU) and can explain their trade-offs. Data validation & ETL experience: Great Expectations/TFDV (or equivalent), dbt, and an orchestrator (Airflow/Prefect). Warehouse & BI: BigQuery (or similar) plus Looker/Mode/Tableau (or similar); you build clear dashboards and know when to run deep dives. Experimentation: A/B testing design and analysis; comfort with pitfalls and guardrails. Product sense & communication: you turn ambiguous problems into measurable roadmaps and communicate findings clearly to technical and non-technical partners. A love for gaming, however you define it. Bonus Points Experience running annotation programs (Label Studio, CVAT, Scale or custom tooling) and crafting labeling taxonomies for actions/events/scenes. Hands-on with video tooling: ffmpeg/ffprobe for metadata & probes; familiarity with OpenCV (and running lightweight inference with PyTorch/TensorFlow for scoring/spot checks). Duplicate/near-duplicate detection (perceptual hashing, embeddings/FAISS/Milvus) and dataset dedup at scales Privacy, safety, and policy consider.ations for user-generated video (GDPR/COPPA basics, PII redaction, content safety heuristics). Spark/PySpark or distributed compute for heavy lifts. Familiarity with CV/ASR signals (scene boundary, keypoint/action recognition, speech-to-text) to enrich labels and audits. Prior history as a Medal user-share a clip or your profile! Why Join Us Directly shape the data foundation behind ML features used by millions of gamers. Work with a passionate team that values ownership, craftsmanship, and speed. Competitive salary, equity options, comprehensive health insurance, and 401k. See your work translate into more accurate models and better creator experiences-fast

Job Description DPR Construction is seeking an experienced Enterprise Data Governance Lead to develop, implement, and manage a formalized data governance program across the organization. This role will collaborate with cross-functional teams including Data & Development, IT, Security, Privacy, and business-side governance committees to ensure data is treated as a strategic asset. Key Responsibilities Leadership & Strategy Own and lead the enterprise-wide Data Governance Program. Align governance initiatives with business goals and enterprise architecture. Facilitate the Enterprise Data Governance Council and Steering Committees. Define and evolve governance strategy, roles, and workflows. Drive adoption and embed governance practices into business culture. Champion data stewardship and promote a data-driven culture. Program Management Develop and maintain governance documentation, policies, and standards. Implement data classification, access control, and issue resolution processes. Track KPIs such as data quality, policy adherence, and resolution times. Manage data governance tools and platforms, including metadata and lineage. Ensure compliance with data privacy regulations (e.g., HIPAA, SOX). Collaboration & Compliance Partner with InfoSec, Legal, and Data Engineering teams to manage access, security, and incident response. Support audit, monitoring, and escalation strategies. Align governance with system design, integration, and AI/data science initiatives. Education & Communication Lead training and awareness campaigns on data governance principles. Create stakeholder reports and materials to support governance efforts. Partner with Learning & Development to promote data literacy. Success Metrics Increased adoption of governance tools and practices. Reduction in data quality issues and policy violations. Improved stakeholder engagement and clarity in data classification. Faster resolution of access requests and governance issues. Qualifications 5+ years in data governance or related roles. Bachelor's degree in IT, data management, or related field. Strong understanding of data governance principles and tools. Experience with data cataloging, lineage, and quality platforms. Familiarity with data privacy laws (GDPR, CCPA). Proficiency in Microsoft 365 tools (Excel, Power BI, SharePoint, Teams). Strong leadership, analytical, and documentation skills. Experience in Construction or related AEC fields preferred In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Range for Sacramento, San Diego, Denver, Colorado Springs, New Jersey, Philadelphia: $100,000- $172,000. Pay range for Seattle, Boston, and SoCal: $110,000-$188,000. Pay Range for San Fransisco: $119,000 - $204,000. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. Accelerating development of our cutting-edge data platform as a leader in the Data Platform Organization, you will work with both engineering and analytics to develop and own stable, scalable, and approachable data platforms. We're looking for a self-motivated engineer who has a passion for enabling data mesh concepts while heavily leveraging AWS cloud and Databricks Lakehouse technologies. The data engineering team is central to delivering and maintaining our modern data, analytics, and decisioning platforms across Ibotta. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office, (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. What you will be doing: Work with cross-functional engineering teams to enable approachable and self-service data movement and access patterns Provide guidance and assistance to stakeholders with building complex datasets that meet the business needs. Identify, design, and implement process improvements including automating manual processes, optimizing data delivery, re-designing infrastructure for greater reliability and performance. Work as a member of the Data Engineering squad to deliver product features and resolve data related technical issues. Work with information security to keep our data secure. Support the engineering of distributed systems, frameworks, and design patterns enabling efficient usage of Ibotta's Data Lake Use Scala or Python to utilize Spark to collect and manage data at scale Help build and manage automation tools, data pipelines that meets Data Governance and Data Security Standards Evangelize Data Engineering and supporting capabilities with Platform and Analytics teams. Perform incident resolution and root cause analysis of critical outages. Implement solutions to systematic failures. Provide on-call support, including after-hours on a rotational basis. Assist with documentation of the environments and data tooling that support our products. Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: 3+ years of experience in software development, preferably with Scala and Python. Preferred experience building/implementing data pipelines using Databricks Bachelor's degree in Computer Science, Engineering or a related field required Experience being a key critical contributor participating in medium and large data projects from ideation to implementation Preferred experience with event-driven architecture design patterns and practices Experience in database design principles supported by strong SQL abilities Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management Experience with the following a strong plus: AWS Cloud Services; EC2, S3 Experience with Scala and Spark Experience with Delta Lake, Apache Iceberg, or Apache Hudi Message Brokers such as Kafka or Kinesis ETL tools and processes (Airflow or other similar tools) Infrastructure as code using Terraform, CloudFormation, etc Experience building APIs and libraries Agile (Kanban or Scrum) development experience About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com. This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, and 401k match. Denver office perks include paid parking, bagel Wednesdays, snacks and occasional meals. Base compensation range: $110,000-126,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. Applicants must be currently authorized to work in the United States on a full-time basis. For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Hybrid #BI-Hybrid

Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company's technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies' mission is to become the visual and interactive layer for the LLM-powered internet. We are seeking a Lead Data Engineer who is passionate about building the foundational data infrastructure that empowers teams to make smarter decisions and deliver exceptional user experiences. In this hands-on leadership role, you will define how events are structured and organized while collaborating with product stakeholders to ensure clarity and alignment. You will design our data storage architecture, select the right systems and tools to enable business teams, and build high-quality pipelines that make data reliable and accessible. What You'll Be Doing Own the definition and management of the structure for how events are created and organized, designing and maintaining event taxonomies, naming conventions, and guidelines while collaborating closely with product stakeholders to ensure alignment with business goals and product strategy. Define and determine the architecture around how we use data storage services, evaluating, recommending, and implementing appropriate storage solutions such as data warehouses, lakes, or transactional stores with a focus on scalability, reliability, security, and cost-effectiveness. Lead decision making on how data is used to empower business teams, for example by assessing and recommending analytics platforms to support self-serve product analytics and reporting, and guiding their integration with our broader data stack. Build and maintain robust, performant, and secure data pipelines and ETL processes, ensuring high-quality, well-documented, and maintainable code while working with stakeholders to prioritize and deliver features and improvements. Mentor and provide technical leadership to other engineers, establishing best practices for data modeling, testing, monitoring, and documentation to raise the quality and reliability of our data engineering work. What You Should Have 5+ years of experience in data engineering or a related field Strong experience designing and implementing data pipelines using modern orchestration frameworks (e.g., Airflow, Dagster) Expertise in SQL, data modeling, and schema design for analytical workloads Deep familiarity with cloud-based data storage solutions (e.g., Snowflake, BigQuery, Redshift) and data lakes Experience evaluating and integrating third-party analytics platforms (e.g., Mixpanel, Amplitude) Excellent communication and collaboration skills to work cross-functionally with product managers, engineers, and business stakeholders Proven ability to define and manage event tracking structures in large or growing products Leadership experience mentoring engineers and driving technical direction Ideal if candidate has experience working in growth stage companies Here's why you'll love working at Genies: You'll work with a team that you'll be able to learn from and grow with, including support for your own professional development You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a work from home policy You'll enjoy the culture and perks of a startup, with the stability of being well funded Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance Competitive salaries for all full time employees Unlimited paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees Health & wellness support through programs such as monthly wellness reimbursement Working in a brand new, bright, open-environment and fun office space - there's even a slide! Choice of MacBook or windows laptop Starting Salary: $215K - $265K

Job Description Role Overview: We are seeking a highly analytical and strategic Data Product Manager for our Foundational Data Assets to own and drive the strategy, roadmap, definition, implementation, and maintenance of our company's critical business metrics. This role is pivotal in ensuring that our data-driven decision-making is accurate, consistent, and aligned with our strategic objectives. You will play a crucial role in understanding the company's overall strategy and partnering with senior stakeholders to define the metrics that best reflect progress towards those goals. You will act as a bridge between these stakeholders and technical teams, translating business needs into actionable data requirements and working with the technical team to drive the implementation and adoption of these metrics, ensuring the integrity and reliability of our key performance indicators (KPIs). Responsibilities: Metric Definition & Governance: Collaborate with senior stakeholders across departments (Product, Sales, Marketing, Finance, Engineering) to define and refine core business metrics. Establish clear definitions, calculation methodologies, and data sources for all KPIs. Justify decisions made on definitions to senior stakeholders (including C-Suite). Develop and maintain a comprehensive data dictionary and documentation for all key metrics in collaboration with the Data Governance team. Data Implementation & Maintenance: Work closely with engineering and data teams to implement metric calculations and reporting dashboards. Make recommendations to stakeholders on implementation approaches for metric calculations and reporting. Prioritize enhancement requests based on level of effort and business value. Ensure timely and accurate updates to metrics in response to business changes and requirements. Collaborate with relevant teams to proactively identify and resolve data discrepancies and inconsistencies. Strategic Analysis & Reporting: Provide insightful analysis of key metrics to identify trends, opportunities, and risks. Develop and deliver regular reports and dashboards to senior management, highlighting key performance and actionable insights. Stakeholder Management & Communication: Effectively communicate complex data concepts to both technical and non-technical audiences. Build strong relationships with senior stakeholders and technical teams. Facilitate cross-functional collaboration to ensure alignment on metric definitions and data requirements. Enablement Ensure broad organizational awareness on key data assets and business metrics. Promote data literacy across the organization, ensuring that all stakeholders understand the available data and its implications. Act as a subject matter expert, providing guidance and support to business users on data interpretation and analysis. Qualifications: Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Business Analytics). 5+ years of experience in data product management, data strategy or analytics Strong understanding of data platforms (Snowflake, dbt etc.), data modeling and enterprise analytics ecosystem Proven experience within a software company or as a consultant. Experience of a transaction (private equity buyout or IPO) as an operator or advisor is preferred. Strong understanding of software business models and key performance indicators. Strong understanding of the use of core business systems (ERP, CRM etc.). Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely. Strong project management and organizational skills, with the ability to manage multiple priorities Ability to work independently and collaboratively in a fast-paced environment. The US annualized base salary range for this position is $166,000.00-$248,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives. Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

Leverage advanced data analysis, statistical, and machine learning techniques to analyze large datasets (big data) from test results and logs, identifying patterns and trends to develop and implement data-driven solutions that align with strategic business objectives. Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, Inc. office in Boston, MA. What You Will Do: Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from disparate sources. Develop and deploy machine learning and natural language processing (NLP) models on OpenShift and OpenShift AI, enhancing the productivity and efficiency of the Quality Engineering (QE) teams at Red Hat. Take ownership of MLOps responsibilities for both new and existing AI/ML applications, managing the end-to-end model lifecycle, including training, versioning, deployment, monitoring, and continuous improvement to ensure model reliability and scalability. Implement and optimize NLP embedding and inference models on OpenShift AI to deliver robust natural language understanding capabilities, leveraging cutting-edge techniques to enhance model performance and application effectiveness. Apply prompt optimization techniques such as few-shot learning, chain-of-thought prompting, and other advanced methods to improve model outputs and facilitate efficient model performance across various use cases. Implement RAG (Retrieval-Augmented Generation) and model tuning using InstructLab and RHEL AI, fine-tuning large language models for context-specific applications that improve responsiveness and deliver tailored insights to users. Design strategic roadmaps and develop, test, and maintain Python scripts to deploy machine learning models and data pipelines into production environments, ensuring high-quality standards and seamless integration with existing infrastructure. Analyze data to identify trends, anomalies, and key insights, documenting findings to support further investigation, continuous feedback loops, and improvements in model accuracy and application efficacy. Participate in the end-to-end AI/ML project lifecycle, including requirements gathering, workflow design, scheduling, and milestone setting to ensure projects meet delivery timelines and align with Red Hat's strategic goals. Strategize and oversee the AI/ML project lifecycle, ensuring comprehensive project execution in line with scope and timelines, and adjusting strategies based on feedback and evolving needs. Collaborate cross-functionally with the data science and QE teams to enhance data analytics, improve model functionality, and streamline development processes. Keep up with AI/ML developments and research papers, particularly in the Generative AI space. Access and maintain comprehensive databases of test results and log files from QE teams, ensuring that data pipelines remain accurate, secure, and accessible for analysis and model training. Monitor and visualize key metrics and defect logs using tools like Tableau, Splunk, Grafana and Kibana, creating intuitive dashboards and providing technical support to internal teams and customers to drive data-informed decision-making. Participate in an agile development team and experience working within an open-source community. Lead, coach and collaborate with junior engineers as they build AI/ML knowledge and skills. What You Will Bring: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Mathematics or related field and five (5) years of experience in the job offered or related role OR Master's degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Mathematics or related field and three (3) years of experience in the job offered or related role. Must have three (3) years of experience with: Python scripting language; SQL; statistical data analysis and visualization methodologies; classical machine learning modeling; natural language processing (NLP) models; and Docker, Airflow, CI/CD. Must have two (2) years of experience with: model deployment and MLops methodologies; and Openshift. Must have six (6) months of experience with: task management systems, including Jira or Monday; LLM model tuning and RAG methodologies; and Openshift AI. Must have six (6) months of experience applying and evaluating prompt optimization techniques. #LI-DNI The salary range for this position is $178,131 - $220,680. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

The Senior Clinical Data Manager is responsible for all aspects of the data management process from the development of project documentation, system set-up, User Acceptance Testing (UAT), routine data review through database lock of clinical trials. The Sr/CDM has a broad, fundamental knowledge of the data management process and can plan, manage and coordinate all Data Management activities for assigned study(ies) with minimal guidance. This person may have project level oversight of junior data managers and/or Clinical Data Associates (CDAs). The core duties and responsibilities of the Sr/CDM are delineated below. Specifically, you will be responsible for: Represents data management in study team meetings, able to facilitate and provide data management updates and/or input when appropriate. Manages data management timelines to coordinate and synchronize deliverables with the overall study timelines. Generates and/or reviews/approves study documents (e.g. Data Management Plans, Case Report Forms, DB build specifications, data transfer specifications, SAE and/or external data reconciliation plans, coding conventions, laboratory data handling plan, study protocols). Reviews protocols for appropriate data capture including electronic Case Report Form (eCRF) design and external data vendors' systems. Provides oversight of database set-up/migrations/updates including coordinating and performing UAT. Leads the development of internal Data Review Plan and coordinates cross functional team data listing review. Coordinates the internal medical coding review. Performs ad hoc and scheduled data listing review and generates/resolves queries in EDC. Performs external data reconciliation against EDC. Performs Serious AE reconciliation according to SOPs and guidelines, as applicable. Executes and/or distributes data management metrics, listings, and reports. Provides oversight of data management CRO/service providers including manages and monitors the progress of data management activities with CROs and/or other service providers on assigned studies; build effective relationships with CRO/service provider counterparts. Reviews and provides feedback to the clinical team on other study documents e.g., Clinical Monitoring plans and vendor specifications. Provides training on the EDC system and/or CRF completion guidelines and EDC system to internal or external study team members, as needed. Proactively identifies potential study issues/risks and recommends/implements solutions. Maintains study DM related documents/files for inspection readiness. Provides DM support to Statisticians and Statistical Programmers in production of clinical trial reports and other deliverables. Assists with the training of new employees and/or contractors (e.g., clinical data associates and/or junior clinical data managers working on the studies). Participates in CRO/vendor selection process for outsourced activities. Supports budget and resource planning across assigned projects. Participates in the development, review and implementation of departmental SOPs, templates, and processes. Participates in department or cross-functional initiatives (as needed). Contributes to a professional working environment through exemplifying RevMed Core Values. Required Skills, Experience and Education: Bachelor's degree in health sciences, Life Sciences, Mathematics, Computer Sciences, or health-related field. At least five (5) years for Sr. CDM of Data Management experience in the pharmaceutical or biotechnology industry, depth and exposure to DM related tasks considered in lieu of minimum requirement. Requires solid knowledge of clinical data management principles, clinical trials process and regulatory requirements. Good working knowledge of ICH, FDA, and GCP regulations and guidelines. Strong well-rounded technical skills (EDC systems, MS Word, Excel, PowerPoint). Knowledge of industry standards (CDISC, SDTM, CDASH). Experience with web-based Electronic Data Capture (EDC), clinical data management systems and industry wide thesauri, such as MedDRA and WHO Drug. Excellent verbal/written and interpersonal skills required for working successfully in a cross-functional team environment. Ability to handle multiple projects and prioritize effectively, well organized and detail oriented. Proven ability to work both independently and in a team setting. Preferred Skills: CRO/Service provider management experience. Prior oncology/solid tumor experience highly desired. Working knowledge of statistical programming packages (e.g. SAS) is a plus. #LI-Hybrid #LI-JC1 The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities. Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com. Base Pay Salary Range $138,000-$172,000 USD

About Alembic Alembic is pioneering a revolution in marketing, proving the true ROI of marketing activities. The Alembic Marketing Intelligence Platform applies sophisticated algorithms and AI models to finally solve this long-standing problem. When you join the Alembic team, you'll help build the tools that provide unprecedented visibility into how marketing drives revenue, helping a growing list of Fortune 500 companies make more confident, data-driven decisions. About the Role As a Senior Data Engineer at Alembic, you will be at the core of our data platform, building scalable and reliable data pipelines, optimizing storage solutions, and enabling real-time and batch analytics. You will work closely with data scientists, software engineers, and product leaders to design and implement robust data architectures. Key Responsibilities Design, develop, and maintain scalable ETL pipelines that ingest, process, and transform large volumes of structured and unstructured data. Optimize data storage solutions using modern data lakehouse architectures and best practices for cost, performance, and reliability. Collaborate with data scientists and engineers to integrate machine learning models and analytical workloads into production environments. Ensure data integrity, quality, and security by implementing monitoring, alerting, and governance best practices. Work with cloud-based data warehouses and distributed data processing frameworks. Continuously evaluate and implement new technologies to improve data infrastructure and operational efficiency. What We're Looking For 10+ years of experience in data engineering, software engineering, or a related field. Strong expertise in SQL and Python for data processing. Experience with modern data warehousing and lakehouse solutions (i.e. Iceberg or similar). Proficiency in working with distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink). Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services. Deep understanding of data modeling, database design, and performance optimization. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation) for data pipelines. Strong problem-solving skills, with a passion for building reliable, scalable, and maintainable data systems. Excellent communication skills and the ability to collaborate in a cross-functional team. Nice to Have Experience with Graph Databases, NoSQL, or Time-Series Databases. Familiarity with data privacy, governance, and compliance (GDPR, HIPAA, SOC 2). Experience with machine learning pipelines and MLOps. Why Join Alembic? High-impact role: Shape the future of our data platform at an early-stage startup. Growth opportunities: Work in a fast-paced environment with opportunities to take on new challenges. Collaborative culture: Join a team of passionate, skilled engineers and technologists. Competitive compensation: Including salary, equity, and benefits.