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Description Finance Data Group within Huntington Finance & Controllership partners with multiple stakeholders for ex: Regulatory Reporting, FP&A and Balance Sheet Management groups supporting key functions such as monthly/quarterly external report filings and internal management reporting and analytics. The Finance Data Analyst Sr role utilizes technical and analytical skills to analyze large data sets, automate processes and collaborate with operational teams to enable analytics and reporting. This position is responsible for evaluating financial, risk and other segment data integrity across multiple systems and platforms. The Senior Financial Analyst will examine data and variances, build out and enhance data management processes, develop KPI metrics and provide analysis that is actionable for optimizing revenue, margin, operating expense, and other key financial and operational metrics for both management and general ledger-based reporting and analytics. The analyst will collaborate to or directly manage one or more analytical applications within the Finance portfolio. Colleagues in this role should have knowledge of finance business processes and the interaction between systems and processes, including strong Excel skills, database query skills, SOX compliance in a publicly traded company, the Record to Report (R2R) cycle, and the management reporting cycle. Partner with OFSAA ecosystem stakeholders (Reg Reporting, FTP, Profitability, Cash Flow Engine) to ensure seamless delivery to end consumers. Partner with technology teams in the development, implementation, testing, documentation and use of data/calculations for OFSAA Reg Reporting, FTP, Profitability, Cash Flow Engine processes Create business, functional requirements and data mapping documents. Configure OFSAA FSDF and AAI modules to meet project requirements. Contribute and support other group projects and initiatives. Analyze large data sets, automate processes within Finance application space Analyze new and existing data, build/enhance data management processes Basic Qualifications Minimum bachelor's degree in finance or information technology 3 + years of previous experience working in the Financial Services Industry 3+ years working experience in OFSAA Data foundation and OFSAA frameworks such as T2Ts, Business Rules 3+ years of hands-on experience with OFSAA projects in the banking sector delivering regulatory reporting and or risk management reporting. Preferred Qualifications Experience with analytical platforms such as OFSAA or other Risk solutions, BI tools (Tableau etc.), Database analytic tools Expert level knowledge of SQL 5+ years' experience in Regulatory/Risk systems Expert in use of Microsoft Office applications (Excel, PowerPoint, and Word). Knowledge of financial instruments and products including an awareness of bank regulation, accounting, valuation techniques and risk measurement. Strong interpersonal and communication skills, both oral and written, with the ability to converse with a wide variety of people across functions / seniority. High energy, self-starter with a flexible and pragmatic attitude and a desire to show continued progress. Good to have: Coding knowledge of other languages such as PL/SQL, Python or R. Knowledge of finance business processes and the interaction between systems and processes Knowledge in SOX compliance in a publicly traded company, the Record to Report (R2R) cycle, and the management reporting cycle Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: $77,000 - $154,000 Annual Salary The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Lead Software Engineer- Big Data We are looking for lead or principal software engineers to join our Data Cloud team. Our Data Cloud team is responsible for the Zeta Identity Graph platform, which captures billions of behavioural, demographic, environmental, and transactional signals, for people-based marketing. As part of this team, the data engineer will be designing and growing our existing data infrastructure to democratize data access, enable complex data analyses, and automate optimization workflows for business and marketing operations. Job Description: Essential Responsibilities: As a Lead or Principal Data Engineer, your responsibilities will include: Building, refining, tuning, and maintaining our real-time and batch data infrastructure Daily use technologies such as HDFS, Spark, Snowflake, Hive, HBase, Scylla, Django, FastAPI, etc. Maintaining data quality and accuracy across production data systems Working with Data Engineers to optimize data models and workflows Working with Data Analysts to develop ETL processes for analysis and reporting Working with Product Managers to design and build data products Working with our DevOps team to scale and optimize our data infrastructure Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects Participating in 24/7 on-call rotation (be available by phone or email in case something goes wrong) Desired Characteristics: Minimum 7 years of software engineering experience. Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things. Expertise in designing and architecting distributed low latency and scalable solutions in either cloud and onpremises environment. Exposure to the whole software development lifecycle from inception to production and monitoring Fluency in Python or solid experience in Scala, Java Proficient with relational databases and Advanced SQL Expert in usage of services like Spark, HDFS, Hive, HBase Experience in adequate usage of any scheduler such as Apache Airflow, Apache Luigi, Chronos etc. Experience in adequate usage of cloud services (AWS) at scale Experience in agile software development processes Excellent interpersonal and communication skills Nice to have: Experience with large scale / multi-tenant distributed systems Experience with columnar / NoSQL databases- Vertica, Snowflake, HBase, Scylla, Couchbase Experience in real team streaming frameworks- Flink, Storm Experience with web frameworks such as Flask, Django Company Summary Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry's 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth. Our technology runs on the Zeta Marketing Platform, which powers 'end to end' marketing programs for some of the world's leading brands. With expertise encompassing all digital marketing channels- Email, Display, Social, Search and Mobile- Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable. Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc300945353.html https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-crosschannel-campaign-management-reports-by-independent-research-firm-300938241.htm

Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Job Description Job Summary Performs repairs, corrective maintenance, and complex installations. Acts as a mentor to others in resolving incidents. What will you do? Facility/Infrastructure Maintenance Performs site inspections and monitors the building and Data Center alarms Performs preventative maintenance on site infrastructure (e.g. maintenance of primary infrastructures), or manages vendors Undertakes repairs and corrective maintenance Assists Team Lead in coordinating critical infrastructure Site Administration Completion of site logs and data gathering for permits, such as MOPs and scripts Incident Management Responds to all on-site incidents and acts as required May instruct on-site staff during simple incidents Work Orders Completes complex work requests and circuit installations Effectively collaborates with internal and external departments Provides input to his peers for complex/critical maintenance activities Works through issues in a confident, positive way; can influence without authority Additional Projects Carries out more complex infrastructure projects What do you need? 3+ years of experience in Data Center environment High School Diploma EPA Universal Certification The United States targeted pay range for this position in the following location is / locations are: California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $67,000 to $101,000 per year Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. As an employee, you become important to Equinix's success. Details about our company benefits can be found at the following link: USA Benefits eBook Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Vice President of Data Architecture Overview: Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. As we build the next generation of data platforms, we are seeking a visionary and results-oriented Vice President of Data Architecture to lead the transformation of Mastercard's enterprise data landscape. This is a foundational leadership role responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this leader will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. Role: Data Architecture Strategy & Execution Lead the design and execution of Mastercard's enterprise data architecture strategy across a complex, global ecosystem. Drive modernization from legacy and on-prem systems to modern, cloud-native and hybrid data platforms. Architect scalable and secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR). Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units. Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems. Lead adoption of modern data principles including Data Mesh, data products, and federated governance. Governance, Alignment & Agile Integration Chair the Data & Analytics Architecture Review Board to ensure alignment across programs and domains. Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards. Apply Agile methodologies and practices to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration. Represent the Data & Analytics function in enterprise architecture councils, steering committees, and executive planning forums. Cross-Functional Leadership & People Development Lead and scale a high-performing team of data architects and technical experts with deep experience in distributed systems, cloud platforms, and data modeling. Mentor and develop talent across various levels while fostering a culture of architectural excellence, innovation, and continuous improvement. Act as a trusted advisor to senior business, product, and engineering leaders-bridging technical strategy with enterprise priorities. Build relationships and communicate effectively with internal and external stakeholders, including C-suite executives, to influence data-driven strategies and decision-making. All About You: Prior leadership experience in Director or Vice President roles overseeing enterprise data architecture, data engineering, or data platform strategy. Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift. Proven experience designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP). Understanding of Data Mesh principles, federated governance, and data product lifecycle management. Demonstrated experience working in Agile environments, leveraging modern delivery practices like scrum, SAFe, or product-centric models. Proven success leading large-scale data transformations and platform modernization initiatives in highly regulated industries such as Payments, Fintech, or Banking. Deep understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates. Proven track record of driving organizational change, platform migrations, and enterprise-wide architecture adoption. Strong executive presence and the ability to translate complex architecture concepts into business language for senior leadership. Experience leading global, cross-functional teams, and managing high-performing technical talent. Demonstrated ability to influence at all levels of the organization, including C-level stakeholders, with excellent communication and relationship-building skills. Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. #LI-NF1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USD Boston, Massachusetts: $230,000 - $368,000 USD Miami, Florida: $200,000 - $320,000 USD Purchase, New York: $230,000 - $368,000 USD

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

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Major Duties: Evaluate existing data governance standards to identify opportunities for new or enhanced controls. Define controls aligned with enterprise policies, regulatory expectations, and internal audit requirements. Assess end-to-end business and data processes to identify data risks and recommend appropriate control mechanisms. Ensure controls are documented in accordance with enterprise corporate control standards, including the rationale, objectives, frequency, ownership, and testing criteria. Review and incorporate updates from regulatory bodies, internal audit, and compliance functions into control requirements. Ensure all controls are aligned with enterprise standards for regulatory compliance and risk mitigation. Support the execution and testing of controls across data processes and platforms. Create and maintain detailed documentation of control procedures, testing evidence, results, and remediation actions. Define risk and control metrics, including thresholds, tolerances, and key performance indicators (KPIs). Establish appropriate frequency and timing for control monitoring and data quality checks. Gather and integrate data from governance tools such as Collibra to generate reports and dashboards. Develop ad hoc and recurring reports for the Data Governance Committee and senior leadership, highlighting key risks, control performance, and improvement opportunities. Participates in periodic reviews to ensure continued compliance with the data governance policies (includes compliance assessments, monitoring and control testing). Drive efficiency and risk mitigation through balancing business value and cost working with data owners, and consumers to deliver an efficient operating model and data architecture. Knowledge : 2-3 years of experience in data risk, data governance, internal controls, or compliance analytics Knowledge of control design, risk identification, and regulatory compliance frameworks Experience with data governance tools, especially Collibra, for metadata and control reporting Familiarity with reporting tools such as Power BI, Tableau, Excel, or similar platforms Familiarity with control testing methodologies, audit processes, and risk documentation standards Excellent analytical, communication, and cross-functional collaboration skills Strong understanding and capable of effectively communicating the role of Data Governance to both business and technical communities within the sphere of data domain; possess broad knowledge of the domain data Understand key business drivers of those functions which enter, modify, manage, and consume the data within domain Understand all aspects of defining and implementing data quality management Experience : Experience working in regulated industries (e.g., financial services) Working knowledge of frameworks such as BCBS 239, GDPR/CCPA, or SOX Exposure to enterprise risk management, issue remediation, or audit lifecycle Strong understanding and capable of effectively communicating the role of Data Governance to both business and technical communities within the sphere of data domain; possess broad knowledge of the domain data Understand key business drivers of those functions which enter, modify, manage, and consume the data within domain Understand all aspects of defining and implementing data quality management Possess excellent verbal and written communication skills Possess proven facilitation and conflict resolution skills Possess exceptional analytical, conceptual and problem-solving abilities Salary Range: $95,600 - 162,400 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

ASSOCIATE UTILITY DATA ANALYST Concurrent Technologies Corporation Arlington, VA US Citizenship is Required. Minimum Clearance Required: N/A Clearance Level Must Be Able to Obtain: Secret Employee Background Check Required As a trusted partner and leader in providing energy and sustainability consulting services to the federal government, Concurrent Technologies Corporation (CTC) understands the increasing complexity of achieving energy security and data management in a changing world. As part of the Energy, Resilience and Sustainability (ERS) Division, you will collaborate with experts to provide comprehensive policy, planning, and implementation services to deliver solutions that address critical infrastructure resilience and security, and data management issues and support the military mission, while reducing environmental impacts. We take our role seriously, as our efforts ensure our installations and assets are prepared in any operating environment, present and future. The ERS Division is seeking a qualified and proactive candidate to work collaboratively with our senior Air Force clients to identify and develop energy and water data management frameworks, and initiatives that can translate strategic goals into actionable solutions. As an Associate Utility Data Analyst, you will work closely with clients and other CTC staff to find the best solutions to advance energy and water data management by applying both technical skills and sound policy analysis. This is a hybrid position located in the Washington, D.C area, with the flexibility to work from home while participating in some in-person client and team discussions at or near CTC's Crystal City office. Some travel is required. Key Responsibilities: Identify, manage, and analyze energy and water-related data to identify patterns, trends, and actionable insights supporting resilience goals. Develop and maintain robust data management frameworks to ensure accuracy, security, and accessibility of energy and water datasets. Evaluate emerging technologies and methodologies for energy and water efficiency and security, and integrated resource management. Create comprehensive reports and visualizations to support policy development and strategic decision-making for energy and water sustainability. Collaborate with interdisciplinary teams to develop solutions that integrate energy and water data management into resilient infrastructure strategies. Contribute to the creation of policies and programs aimed at advancing federal energy and water security goals and ensuring long-term sustainability. Build and sustain strong relationships with clients, ensuring their needs and expectations are met. Basic Qualifications: Bachelor's degree in environmental science, energy systems, data science, public policy, or a related field. 2-4 years of relevant experience in energy and water resource management, data analysis, or federal infrastructure projects. Proficiency in data management tools and software, including GIS, Python, R, or advanced Excel techniques. Strong analytical skills, with experience building and managing data visualization dashboards. Excellent communication skills for interacting with diverse stakeholders and senior leadership. Ability to obtain and maintain a Department of Defense (DoD) Common Access Card (CAC). Ability to obtain and maintain as US Government Secret security clearance. Preferred Qualifications: Master's Degree in Public Policy, Engineering, Data Management or related field Active Secret Security Clearance Experience with federal energy and water policy and infrastructure resilience initiatives. Familiarity with DoD sustainability and resource management objectives. Expertise in developing automated data pipelines or predictive models for environmental applications. Why CTC? Our teams at CTC are passionate and thrive on collaboration in a high-paced team environment When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges Competitive salary and benefits package Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life Visit www.ctc.com to learn more Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work. https://concurrent-technologie ... Staffing Requisition: SR# 2025-0005 "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. The purpose of the Sr. Director- Safety Data Scientist role is to provide strategic leadership for the technology, systems, automation, and analytics strategy across Global Patient Safety, globally. The Sr. Director will work in close collaboration with the Sr Director- Safety Data Sciences Leader, the GPS Data Sciences Team, and Global Patient Safety (GPS) leadership team to drive awareness, alignment and input to the technology, automation, and systems strategy for all functional areas in GPS. The Sr. Director Safety Data Scientist provides strategy, oversight, and expertise for the GPS systems, technologies, and associated processes involved in the management of safety information, including creation, assessment, implementation, and maintenance of those activities. Leadership of Technology, Systems, Automation and Analytics Strategy Owns automation, technology, and analytics strategies for GPS and understand linkage to functions within and outside of GPS that ensures adequate input, influence, and efficient implementation. Benchmark automation and process efficiency efforts within and outside of Eli Lilly and apply to GPS. Identify, lead, and support process improvement efforts that drive tangible efficiency and productivity results for GPS. Build business technology capabilities and skills to support GPS future state. Strategic and Technical Leadership Providing system and associated business process leadership to ensure information management tools and associated processes are adequately designed, developed, revised, maintained, and fully documented and communicated to enable compliance, in an environment of continuous and disparate regulatory changes worldwide including: Responsible for the development of new business processes and maintenance of existing system tools, technologies, and strategies in support of related business processes within GPS Accountable for creation and maintenance of system process maps Update and revise information management tools and associated processes in a timely manner to ensure they are consistent and compliant with applicable regulatory requirements Lead the development of new systems and associated processes when required based either on new or revised regulations or guidelines or on an internal assessment of the capabilities of GPS Consult to ensure new and existing tools (e.g. LSS, Business Objects, Tableau) to support and enable the GPS processes. Influence leadership and share best practices in system and associated business process execution and development with cross functional teams within MDU, the BUs and affiliates globally Work with partners both internal and external to Lilly involved in or affected by the systems and associated processes Oversee and review standard operating procedures (SOPs), ensure SOPs fully describe current practices and are in line with current regulations and guidance Provide subject matter expertise including integration of information regarding any new global regulations and guidance impacting systems, information management strategies, and those processes Ensure that training is in place to ensure all staff are fully trained and appropriately qualified for the systems and associated implementation of processes Interact, educate, facilitate, and influence both tactics and strategy across multiple functions within GPS and throughout the MDU, BUs, Global Affiliates, and alliance partners to ensure compliance in the face of continual evolution of regulatory requirements Work with the Medicines Quality Organization (MQO) network to ensure compliance and adhere to required timelines for submission of right to operate documents Educate and monitor the deliverables required from personnel in functions within the MDU, BUs and Global Affiliates as well as alliance partners who are not well versed in or experienced with the requirements for regulatory compliance and who are subject to considerable turnover within and between regulatory reporting cycles Monitor and evaluate global and affiliate compliance trends to identify deviations and root cause patterns to inform process improvements Company Presence/ Influence (Internal/external related to GPS Systems) Build effective relationships within GPS to facilitate system and related process understanding, acceptance and execution Serve to elevate the profile of GPS and the science of pharmacovigilance as an essential obligation of the company by establishing a visible presence and productive relationships and collaborations with other functions These collaborations will include leadership of multiple global and regional groups, including but not limited to GPS Medical and Benefit-Risk Management, GPS Pharmacoepidemiology, GPS Clinical Case Management, MQO, GPS Tech@Lilly, GPS senior management, the EU QPPV/DQPPV, Global BU Medical, regional/affiliate BU Medical, other MDU Functions, Clinical Development (early and late phase), Regulatory Affairs- North America and International, regional/affiliate brand teams, and alliance partners Represent and influence GPS requirements and policy on safety management to internal and external stakeholders and identify opportunities for improving policies and regulations related to safety management Provide expert support and coordination for safety inspections and audits, including support and coordination of required responses. Exercise broad external influence with regulators and the broader pharmacovigilance community by providing input on critiques of draft guidance and by sharing Lilly implementation processes Respond to requests from regulatory authorities for consultation on Lilly's pharmacovigilance and risk management processes Understanding and Support of the Qualified Person for Pharmacovigilance (QPPV) role Understanding the roles and responsibilities of the European Union Qualified Person for Pharmacovigilance Ensure support is provided to enable the Qualified Person to fulfill all legal responsibilities as required by existing and new regulatory requirements Training, Coaching, Mentoring Provide training, coaching and mentorship to GPS personnel as needed or requested on the execution of safety management systems and related processes both inside and outside of GPS Train and inform functional leaders in the MDU, BUs, Affiliates and alliance partners on GPS systems and associated processes essential to compliance so they can provide coaching within their areas to ensure implementation of these systems and associated processes as necessary. Minimum Qualification Requirements: Bachelor's degree within a health science, Information Management, Mathematics, Statistics, Computer Science field. 5 years of experience, supporting drug development areas (e.g., Safety, Clinical, Project Management, etc.). Other Information/Additional Preferences: Experience in Pharmacovigilance/Clinical/Regulatory systems, technologies and associated processes for which the individual will have responsibility (e.g. Argus, Empirica, RxLogix Safety Suite, etc.) Demonstrated strategic thinking skills and driving broad change. Process Management experience and exceptional project management skills. Strong oral and written communication skills Strong leadership and interpersonal skills, ability to influence across multiple functions and regions and be able to work independently and as a team member on a variety of issues. Ability to effectively coach and mentor individuals inside and outside of GPS on the day-to-day activities associated with execution of the business process. Demonstrated success in managing large, multi-component projects. Ability to work in a global environment with external focus. Availability to travel when required. Expertise in Pharmacovigilance Prior systems ownership, systems implementation. Demonstrated application of process automation and analytics cross-functionally. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $151,500 - $222,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

We are a creative team of architecture, engineering and design professionals who serve both public and private sector clients. Together, we share one Core Purpose: To plan, design, and consult to create healthy and thriving communities. Our offices are full of genuine, fun, and down-to-earth people who believe in fostering an inclusive culture where all employees feel they belong. Loving where you work, who you're working with, and what you're working on is important to us, which is why we put our people first-they're at the heart of everything we do. From professional growth and development support and opportunities to give back to your community, to flexible work schedules and competitive benefits, we have a genuine interest in the whole you. So, if you're just as passionate about what you do as we are, then we'd love to hear from you! Our transportation and utility services professionals offer practical, forward-thinking expertise in a wide range of practice areas, including active transportation, bridge design, roadway design and traffic engineering, intelligent transportation systems, utility and broadband services, grant writing, program management and so much more! From interstates and intersections to bridges and bike paths, we invite you to join us in designing transportation systems that connect us to the people and places we care about most. Our Transportation team is looking for an Engineer responsible for providing Owner's Representative Services to help manage the execution of high-voltage substation projects that support hyperscale data center development. This role ensures alignment between EPC contractors and the owner's internal teams throughout the design-build lifecycle-from early planning and permitting through energization and turnover. The ideal candidate will have deep substation project experience and the ability to lead technical reviews, drive construction progress, and support operational readiness. The location of this position could be Tennessee, Georgia, Kentucky or Ohio. Responsibilities: Serve as the primary point of contact between the EPC contractor and the owner's internal campus infrastructure and construction teams. Coordinate across internal engineering, operations, and design groups to ensure substation scope integrates with overall campus planning. Lead and document multi-disciplinary design review meetings, ensuring design quality, standards compliance, and system compatibility. Manage permitting strategy and submittals with EPC and local Authorities Having Jurisdiction (AHJs), including utility interconnection requirements. Facilitate coordination meetings and working sessions with EPC, design consultants, permitting agencies, and internal stakeholders. Conduct and coordinate regular site walkdowns to review construction progress, field conditions, and safety compliance. Track construction against schedule and budget milestones, proactively identifying and mitigating risks. Support and drive punch-list management, coordinating resolution of open items through construction and commissioning phases. Oversee project closeout activities including testing and commissioning coordination, documentation handover, and operational readiness. Ensure all deliverables and as-builts are received, reviewed, and accepted in alignment with project requirements. Minimum Qualifications: Bachelor's degree in Electrical Engineering, Construction Management, or a related technical discipline. Minimum 7-10 years of experience managing complex substation or utility infrastructure projects. Demonstrated success overseeing EPC contracts in a design-build delivery model. Strong working knowledge of HV/MV substation systems including protection, controls, and physical layout. Experience with permitting, utility coordination, and regulatory compliance. Familiarity with electrical design packages including one-lines, schematics, relay settings, and construction drawings. Experience supporting substation infrastructure for data centers or mission-critical facilities is preferred. Familiarity with utility interconnection processes, NESC, IEEE, and other relevant codes/standards is preferred. PMP or similar project management certification is preferred. Experience with commissioning planning, energization procedures, and turnover documentation is preferred. We are an equal opportunity employer and do not discriminate. Everyone is invited to apply. Gresham Smith will not accept unsolicited resumes from recruiters, headhunters, contract recruiters, search firms, or employment agencies. An executed GRESHAM PLACEMENT SERVICES AGREEMENT (PSA) is required prior to any payment obligation for either a referral or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously executed PSA, GRESHAM SMITH explicitly reserves the right to recruit and hire those candidate(s) at its discretion, and without any financial obligation whatsoever to the recruiter or agency. Any such unsolicited resume or candidate contact information, including those submitted directly to GRESHAM SMITH'S hiring managers or any other employee, shall become the property of GRESHAM SMITH upon receipt.

About this role Strava is the app for active people. With over 150 million athletes in more than 185 countries, Strava is where connection, motivation, and personal bests thrive. No matter your activity, gear, or goals, we help you find your crew, crush your milestones, and keep moving forward. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. This role is on the Strava Security Team, which exists to protect Strava's people, business, and data through integrated, proactive security practices. We work across all security domains, including, but not limited to, product security, vulnerability management, incident response, infrastructure, network, governance, and enterprise security. We follow a flexible hybrid model that generally translates to half your time on-site in either our San Francisco or Denver office- three days per week. What You'll Do: Are passionate about safeguarding the sensitive data that powers a platform used by millions of athletes around the world Thrive in cross-functional environments where you can shape data security and privacy architecture in partnership with Engineering, Legal, and Product teams Will have a high-leverage impact by driving secure and privacy-respecting data design patterns at scale across diverse systems Are excited to advise on the lifecycle of sensitive data-from ingestion and processing to storage and deletion-ensuring appropriate controls at each stage Will collaborate across functions to define and implement scalable frameworks for metadata tagging, access governance, and encryption You Will Be Successful Here By: Being a trusted advisor to engineering, analytics, and business stakeholders on data security and privacy architecture Leading the design and implementation of data classification, labeling, and protection frameworks across structured and unstructured sources Guiding teams through secure-by-design decisions for new features, infrastructure changes, and data integrations Establishing encryption, key management, and access control standards that are adaptable to diverse workloads and environments Translating regulatory and business requirements into pragmatic, scalable technical designs that support velocity without compromising safety What You'll Bring to the Team: Bring deep experience guiding the secure and compliant use of data across engineering, analytics, and legal/privacy functions Have designed and deployed metadata-driven classification systems and scalable protection controls across data pipelines, cloud storage, and SaaS tools Understand how to architect and advise on encryption standards, key management, access controls, and data retention strategies in complex environments Have worked with both off-the-shelf tools (e.g., BigID, OneTrust, AWS Macie) and in-house solutions to meet nuanced business and regulatory needs Are comfortable navigating ambiguity and tradeoffs, balancing privacy, compliance, and usability through clear technical and architectural guidance Communicate proactively and clearly across disciplines, driving alignment on shared principles and building durable frameworks for data trust Compensation Overview At Strava, we know our employees are the most important ingredient to our success, and our compensation and total rewards programs reflect that. We take a market-based approach to pay, and pay may vary depending on the department and your location. Salary ranges are categorized into one of three tiers based on a cost of labor index for that geographic area. We will determine the candidate's starting pay based on job-related skills, experience, qualifications, work location, and market conditions. We may modify these ranges in the future. For more information, please contact your talent partner. Compensation: $286,000 - $334,750. This range reflects base compensation only and does not include equity or benefits. Your recruiter can share more details about the full compensation package, including the range specific to your location, during the hiring process. For more information on benefits, please click here. Why Join Us? Movement brings us together. At Strava, we're building the world's largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you're shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you're not just joining a company-you're joining a movement. If you're ready to bring your energy, ideas, and drive, let's build something incredible together. Strava builds software that makes the best part of our athletes' days even better. Just as we're deeply committed to unlocking their potential, we're dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We're backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we're expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Preferred Qualifications Demonstrates abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Strong proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Strong analytical, problem-solving, and communication skill; and, Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; Coaching and collaborating with members on the Team who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

The Associated Press is an independent global news organization dedicated to factual reporting. Founded in 1846, AP today remains the most trusted source of fast, accurate, unbiased news in all formats and the essential provider of the technology and services vital to the news business. More than half the world's population sees AP journalism every day. The Associated Press seeks a journalist and developer who is passionate about visual storytelling and eager to put lessons from experimentation into practice. We're looking for a data visualizations developer to join a team that's creating smart, insightful and entertaining visualizations of data about U.S. elections - someone who combines advanced technical ability, a collaborative spirit, and a deep interest in elections. This position is based in Washington, D.C., although exceptional candidates in other locations will be considered. It is covered by AP's agreement with the News Media Guild. Responsibilities: Reporting to the elections interactives and graphics news editor, you will be part of a team that builds engaging data visualizations and explanatory graphics centered on elections. Our team builds live results graphics and data visualizations that go beyond those results to explain what's behind the numbers, showing the how and the why of winning and losing. You will be a part of AP's Elections Services team and will work closely with the AP's top-notch team of race callers, election analysts and explanatory reporters. Required Qualifications: Bachelor's degree or equivalent experience, such as at least one year of full-time work as a data visualization developer or graphics journalist. All applicants must be able to work in the U.S. or be able to gain permission to do so. The ability and willingness to work at night and on weekends as AP is a 24/7 operation and polls almost always close after the end of the business day. Advanced-level professional competency in written and spoken English. Professional competency in a language besides English is a plus. Preferred Qualifications: We're looking for someone with strong front-end and data visualization skills who is a JavaScript expert and familiar with one or more frameworks, such as React, Svelte, Angular or Vue. If you've worked in Node or another language for server-side development, that's a plus. Experience building robust applications is essential, but we're more interested in how you solve problems than in the syntax you've used to solve them. You are a highly motivated, independent and detail-oriented developer and journalist who is committed to using your technical skills to advance the strong, fact-based reporting of AP's staff. You embrace best practices, web standards and agile methodologies, and you write modular, reusable code. You refactor and test. You keep an eye on new technologies and enjoy developing creative solutions, even under tight deadlines. You understand that there's always more to know, and you expect to learn from your teammates in addition to sharing what you know. You're looking for a collegial environment that involves consistent communication and pair coding, and you enjoy sharing ideas with people from diverse backgrounds, areas of expertise and experience. We will consider strong candidates who do not meet every listed qualification. You may use a cover letter to describe the unique qualifications you would bring to this role. This position is covered by The Associated Press' contract with the News Media Guild, which provides for an annual salary for Class A staff of between $53,477 and $85,214 based on location and years of professional experience. Additional compensation is negotiable based on a job candidate's skills, qualifications and market location. Employees are eligible to participate, according to the terms of the official plan documents, in a 401(k) plan and employer-sponsored health insurance plan, and are eligible for paid time off and holidays in accordance with AP policy. Application deadline is August 11, 2025, at 11:59PM EST. AP seeks to build an inclusive organization grounded in respect for differences. We support all aspects of diversity and provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, marital status, national origin, age, sexual orientation, gender identity, disability, status as a veteran, or other characteristic protected by law.

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

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. About The Role Varo represents a new generation of fintech built on technology and innovation to empower consumers. We serve millions of Americans with our mobile app to make digital banking easy, convenient, and personalized. As a Senior Data Scientist (Machine Learning), you'll get the chance to develop innovative models that affect millions of users in the fintech space. You'll work with experienced Machine Learning Scientists as well as collaborate with your peers on exciting science problems in the fraud detection, risk modeling, personalization, operations, and causal inference spaces. About the Data Science Team Varo's Data Science Team develops Machine Learning models that make it easier for the right people to get access to funds, help protect customers from fraudsters, and transform the in-app experience with real-time recommendations. Unlike some organizations where data takes a support role, here at Varo data science is front and center. Since we are in hyper-growth mode, you will get to work on the most impactful data science problems from day one. We rely on advanced techniques in machine learning, cloud platforms, and data technology. We're a team of PhDs and ex-academics with a collegial work atmosphere. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other and want to solve interesting problems to propel the company's growth, apply now! What you'll be doing Develop production-grade ML algorithms, such as fraud detection algorithms, recommender systems, dynamic credit risk models, and large-scale causal inference models, as well as processes for monitoring and analyzing their performance Leverage large data sets from different sources, and use modern modeling techniques such as tree-based methods, neural networks, and reinforcement learning to increase and optimize customer experiences, customer acquisition, underwriting, and other business outcomes Work with stakeholders throughout the organization to identify opportunities for driving business decisions or improving our product suite with ML Collaborate cross-functionally with the engineering team to deploy models and monitor outcomes You'll bring the following required skills and experiences An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc. 4+ years of experience as a Data Scientist, Machine Learning Scientist, or Research Scientist as an individual contributor, including but not limited to relevant experience from your PhD research Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks Experienced in using Python for analysis, modeling, and visualization (numpy, pandas, scikit, nltk, matplotlib, etc.) Ability to thrive in a fast-paced environment Strong bias for action and team player Preferred: Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch $130,000 - $180,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $130,000 - $180,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. #MidSenior We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company's Most Innovative Companies, Forbes' Fintech 50, and earned the No. 7 spot on Inc. 5000's list of fastest-growing companies across the country. Varo. A bank for all of us. Our Core Values Customers First Take Ownership Respect Stay Curious Make it Better Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail careers@varomoney.com with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/

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

Our technology has no boundaries! NVIDIA is creating the world's most groundbreaking and innovative compute platforms for the world to use! It's because of our work that data engineers and data scientists can advance their ideas. We are looking for individuals to develop a data processing and ML platform for data scientists to use. As a data processing platform engineer, you will design, implement and operate Kubernetes based GPU accelerated data processing service at scale, with high availability and reliability. You will lead and encourage adoption of the data processing service, your work should improve time to first query (TTFQ) metrics, drive platform engagement metrics, and come up with innovative solutions that blends with pioneering Nvidia's enterprise scale data science platform. What you'll be doing: Optimize distributed computing infrastructure by analyzing cost and right sizing for latency and performance Identify KPIs and instrument metrics tracking for dashboards and alerting Enhancing and maintaining a robust scale, reliable, real-time data processing service Train data engineers, data scientists and production engineers how to adopt data processing workflows Participate in on-call rotation, run-book implementation and continuous process improvement What we need to see: Experience architecting, developing and deploying large-scale distributed systems at scale Strong Kubernetes experience on-premise and/or CSP, developing containerized microservices Hands on experience in the performance tuning/troubleshooting Spark applications Experience with distributed systems, databases, and big data systems like Ray, Spark Rapids Familiarity with metrics collection, health monitoring, and observability tools Building, operating and maintaining full stack software deployments coupled with excellent software programming skills Master's or Bachelor's degree in Computer Science or Electrical Engineering or CE or equivalent experience. A minimum of 5yrs experience with a background in software engineering and math Ways to stand out from the crowd: Prior data processing at scale on Nvidia GPUs Experience with CUDA and/or using Nvidia GPUs for ML/DL #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 1, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our vision at Descript is to build the next-generation platform for fast and easy creation of audio and video content. We are trusted by some of the world's top podcasters and influencers, as well as businesses like BBC, ESPN, HubSpot, Shopify, and The Washington Post for communicating via video. We've raised $100M from leading investors such as the OpenAI Startup fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital. We are looking for a strategic and hands-on Marketing Data Scientist to join our Growth team. You'll partner closely with Performance marketing team to architect our measurement framework, optimize performance across full-funnel marketing, and enable smarter business decisions through data. This is a pivotal role for scaling Descript's marketing engine across both B2C product-led and B2B sales-led growth motions. You'll pioneer the use of AI-enhanced analytics tools that automate strategic decision-making processes and deliver predictive insights at scale. This role can be remote in the US or based in the SF Bay Area. What You'll Do Define and Evolve Marketing Measurement Develop channel specific CAC targets accounting for audience intent and funnel stage Iterate and improve attribution models, while navigating platform-reported limitations and first-party data availability Drive incrementality measurement, partnering with the performance marketing team to design and run in-house conversion lift experiments Design and build AI-powered tools that automate routine marketing analyses and surface actionable insights Build Core Dashboards & Reporting Own the creation and ongoing refinement of marketing dashboards Ensure clear, automated, and actionable reporting on acquisition, retention, and monetization Lead Modeling & Forecasting Initiatives Create models to score leads based on their likelihood to convert, helping sales and marketing teams prioritize high-value prospects Build models to forecast campaign performance and support monthly budget allocation Develop recommendation systems that leverage user behavior data to suggest optimal channel mix and budget allocation Be a Strategic Partner Collaborate with Marketing, Sales, Product, and Analytics Engineering to ensure data quality, interpretability, and usability. Champion high standards for experimentation, measurement, and statistical rigor across the org. Proactively identify trends, patterns, and opportunities through data to improve day-to-day operations and drive user acquisition, activation, and retention. What You Bring Extreme ownership and resourcefulness to get things done. Deep understanding of ads platforms (Meta, Google, Microsoft), data enrichment, and reverse ETL process through a CDP such as Segment or Census. Strong working knowledge of incrementality testing, randomized controlled experiments and quasi-experiments. Experience with building in-house attribution models Proven success working with both product-led growth funnels and sales-led GTM motions. Experience with AI tools and frameworks for marketing analytics and optimization Familiarity with LLMs and how they can be leveraged to enhance marketing insights Understanding of how to build and deploy AI-powered prediction models for user behavior and conversion Bachelor's or Master's degree in a relevant field (e.g. computer science, mathematics, statistics, etc). 5+ years of experience in a data scientist or related role. Proficient in SQL and at least one programming language such as Python or R. At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Data Scientist. While titles may not change, we are actively seeking a senior and above Data Scientist to join our team. The base salary range for this role is $144,000- $192,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.