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About the Role >>> Senior Manager, Clinical Data Management As the Senior Manager, Clinical Data Management reporting to the Director of Clinical Data Management, you will be responsible for all data processes related to assigned studies, overseeing data collection workflows across the EDC database and non-EDC data sources. You will ensure quality and integrity of all clinical data via CRF and edit specifications, Data Management plans, data systems validation and UAT, listing generations, as well as review of clinical data for completeness, accuracy, and compliance. This role is based out of either our San Francisco or Cambridge office and will require around 15% travel. Your work will primarily encompass: Lead study start-up activities (CRF design, UAT, edit checks review, etc.) and ongoing data management activities (e.g. reconciliations, data cleaning initiatives, and final database lock activities). Day-to-day management of vendors involved in data production and manipulation, and to ensure quality of deliverables are met. Develop and review study plans and protocols to ensure that data collection and CRF design meet study objectives (i.e., System Validation Plans, Data Management Plans, Data Transfer Plans, Data Review Plans, Data Monitoring Plans, and Data Coding Guidelines). Develop and review specifications for database build and validation, edit checks, external system integration, or for other systems and processes related to data while enabling near-real time data access for Olema clinical trials. Ensure data quality of clinical database through implementation of CDISC compliance and review for completeness, accuracy and consistency in accordance with study plans. Gather input from stakeholders and design data flow across EDC and non-EDC data sources and across vendors. Provide subject matter expertise to study team members during all phases of the project life cycle, electronic data capture, external data standardization, and prior, during, and after internal and external audits and inspections. Manage development and periodic review of Data Management specific SOPs, WIs, and templates while assessing metrics and implementing suggested improvements. Integrate external data collection through data transfer agreements (including but not limited to ePRO, laboratory data, IRT, etc.). And will also include: Participate in internal team meetings and provide data management updates on assigned studies. Interface with Clinical, Biostatistics, Clinical Scientist and Project Management to troubleshoot data-related problems. Ideal Candidate Profile >>> A love of challenging, important work. We are a pragmatic team, driven to imagine and develop meaningful therapies for improving lives. All employees within our company play a unique and crucial role in our success, both in accomplishing our mission and building a positive company culture. As such, we are looking for someone with the right combination of knowledge, experience, and attributes for this role. Knowledge: Bachelor's degree or advanced degree in a relevant discipline is required CCDM certification preferred Practical knowledge of MedDRA, WHODrug and/or another controlled medical dictionaries Deep expertise in Excel and Microsoft Office tools Relational database understanding and SQL knowledge Data Visualization Tools experience preferred Experience: 8+ years of experience in data management in clinical trial industry (pharma or biotech) In-depth understanding of Clinical and Data Management regulations and guidelines: ICH, GCDMP, 21CFR Part 11, GDPR and functional knowledge of CDISC/SDTM/SDTMIG standards Extensive experience managing Data Management CROs Deep experience in reviewing complex and large clinical datasets Hands-on deep experience working with EDC systems (e.g. Rave, etc.), IRT systems, and ePRO systems Practical experience building studies using CDISC/CDASH standard Attributes: Excellent verbal and written communication skills, coupled with the ability to advocate for a position and engage in vigorous debate to reach the best decision Analytical thinking with problem-solving skills and the ability to adapt to changing priorities and deadlines A commitment to excellence Be collegial, hard-working, confident, a self-starter and results-driven Be a fast learner who can identify the core project challenges and expeditiously change course as required in a fast-paced organization Teamwork and collaboration; balances team and individual responsibilities; gives and welcomes feedback; puts success of team above own interests; supports everyone's efforts to succeed; shares expertise with others A demonstrated ability to make decisions in situations where there is incomplete or ambiguous information and where there is a high degree of professional judgment required Have impeccable professional ethics, integrity and judgment The base pay range for this position is expected to be $190,000 - $200,000 annually, however the base pay offered may vary depending on location, market, job related knowledge, skills and capabilities, and experience. The total compensation package for this position also includes equity, bonus, and benefits. #LI-CK1

ABOUT THIS POSITION Waystar, the leading Healthcare Revenue Cycle Management (RCM) technology company, is seeking a skilled Data Engineer to support our growing Data Licensing and Resale product team. In this role, you will design, build, and optimize scalable data pipelines and infrastructure to support the delivery of licensed data products and insights to customers. You will work with complex healthcare data from multiple source systems and ensure data accuracy, reliability, and performance using modern cloud platforms like Snowflake and Google BigQuery, along with SQL, Python, SQL Server, and Postgres. The ideal candidate will have an understanding of healthcare data and RCM processes, with strong technical expertise and the ability to collaborate across data, product, and business teams to build data products that deliver high-quality, accurate insights to clients. You will play a key role in building the infrastructure needed to support data monetization strategies and ensuring that licensed data products meet customer expectations for performance and accuracy. WHAT YOU'LL DO Data Architecture and Engineering Design and implement scalable, high-performance data pipelines using Snowflake and Google BigQuery to deliver licensed data products to customers. Develop and maintain ETL/ELT processes to ingest, transform, and store structured and unstructured data, ensuring data accuracy and timeliness. Build data infrastructure to support real-time and batch processing use cases for customer-facing products. Establish and enforce data quality and privacy standards and monitoring to ensure consistent and accurate data delivery to customers. Monitor and troubleshoot data pipeline performance issues and implement proactive improvements to minimize downtime and data delivery delays. Data Modeling and Integration Design and implement data models to support data licensing and resale use cases, ensuring they meet customer requirements and business goals. Integrate data from multiple source systems, including SQL Server, Postgres, and external APIs, ensuring data consistency and reliability. Create and maintain data dictionaries and metadata to support customer understanding and self-service analytics. Implement data partitioning, indexing, and clustering strategies to improve query performance and reduce processing time. Develop and maintain secure de-dentification and data-sharing mechanisms to ensure appropriate access controls for licensed data products. Data Licensing and Product Support Work closely with product and business teams to define data product requirements and deliver licensed data products that meet customer expectations. Implement secure data-sharing protocols to ensure that licensed data is accurately and efficiently delivered to customers. Design and implement data anonymization and de-identification processes to meet data privacy and HIPAA compliance requirements. Create scalable data delivery mechanisms to support on-demand and scheduled data access for external clients. Ensure data licensing agreements and customer contracts are reflected accurately in data access controls and delivery processes. Value Delivery and Customer Outcome Achievement Partner with business and product teams to understand customer goals and translate them into data engineering solutions. Ensure that data products and pipelines deliver measurable business value and directly improve customer outcomes (e.g., better claim processing insights, faster payment reconciliation). Establish KPIs to track the business impact of data solutions and continuously improve them. Actively identify opportunities to improve data quality and speed of delivery to enhance customer experience and support data product growth. Automation and Performance Optimization Automate repetitive data processing tasks using Python and SQL to reduce manual effort and increase efficiency. Monitor and optimize data pipeline performance, addressing bottlenecks and failures to improve customer satisfaction. Leverage Snowflake's performance features (e.g., micro-partitions, clustering, materialized views) to optimize query performance. Implement data orchestration using tools like Airflow or dbt to automate and monitor workflows. WHAT YOU'LL NEED Required: Bachelor's or Master's degree in Computer Science, Data Engineering, or comparable experience. 5-7 years of experience in data engineering with a focus on cloud-based data platforms. Experience working with relational databases such as SQL Server and Postgres. Proven experience designing and implementing large-scale data pipelines with a focus on value delivery and performance. Strong understanding of data warehousing, data lakes, and modern data architectures. Experience working with data-sharing frameworks and licensing models. Strong business-focused mindset with a clear drive to deliver measurable outcomes. Strong attention to detail and focus on data accuracy and quality. Preferred: Experience working with healthcare data and understanding RCM processes (claims, billing, payments). Familiarity with data orchestration tools (e.g., Airflow, dbt). Experience with data security, access controls, and healthcare data compliance (HIPAA). Experience with data licensing agreements and customer-facing data products. Strong problem-solving skills and ability to work in a fast-paced environment. Why Join Us Opportunity to work with cutting-edge cloud data technologies. Play a key role in delivering licensed data products that drive customer value. Work in a collaborative and innovative environment. Competitive salary, benefits, and career development opportunities. Be part of a mission-driven team that is transforming healthcare through data and AI. ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter. WAYSTAR PERKS Competitive total rewards (base salary + bonus, if applicable) Customizable benefits package (3 medical plans with Health Saving Account company match) We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays Paid parental leave (including maternity + paternity leave) Education assistance opportunities and free LinkedIn Learning access Free mental health and family planning programs, including adoption assistance and fertility support 401(K) program with company match Pet insurance Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Are you someone who never rests on their laurels, always strives to go above and beyond, and is committed to keeping your PROMISES? Do you appreciate a company culture that is open, fosters work-life balance, and a dynamic team environment? Then Old Dominion is the home for you. We take pride in being the best in the industry, and from our humble beginnings we know that our People and our Family Spirit are the main ingredient in our secret sauce to success. At Old Dominion we are looking for individuals to join the OD Family that will provide innovative solutions and exceed expectations to keep OD the premier transportation solutions provider. Enter information into AS400 from Bills of Lading (BOL) scanned at the service centers ensuring accuracy and efficiency. Primary Responsibilities Enter BOL information into AS400 for numerous customers in a timely manner Identify and correct any errors on BOLs prior to entering the information Ensure high production levels while maintaining accuracy Provide Service 2.OD to internal and external customers Position requires physical presence in the corporate office during the workday, unless the employee has been approved to work from home Work from home eligibility is contingent upon meeting all required metrics, and is in the sole discretion of the company Work from home employees must be available to report to the corporate office at any time during their regular workday, in the sole discretion of the company Job Qualifications Education: High school diploma or equivalent Experience: 1 year of data entry experience, preferably in the trucking industry Knowledge of shipping/transportation documents Must be able to type 50 wpm with no errors Proficient with AS400 Accurate typing and spelling skills Detail oriented and self-motivated Ability to work in a fast paced environment with repetitive work Working Days: Monday,Tuesday,Wednesday,Thursday,Friday, Working Shift: PM Work Days and Shift are estimates and are subject to change, at any given time, based on job scheduling and/or business levels. Any information listed regarding Days and Shifts shall be considered a guideline of expectations for the specific position at the time of posting. Join the OD Family Today! As a Full Time member of our Family, you and your family are eligible to receive: Great Health Benefits including a Zero premium medical plan for employee only coverage Vision & Dental Short Term & Long Term Disability Flex Spending Accounts 401k Retirement plan with company match and additional company annual discretionary match opportunity Life Insurance Wellness Program Tuition Reimbursement for Drivers and Technicians Training and growth opportunities to build a career We prioritize our OD family of employees Ability to advance through our promote from within philosophy National Career Opportunities Available at our 260+ service centers Old Dominion Freight Line, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, and/or gender expression, sexual orientation, age, disability, pregnancy, genetic information, military status, Vietnam Era and/or veteran status, or any other characteristic protected by applicable law(s). If you have questions regarding this posting or require assistance with the application process, please click here for contact information.

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

NVIDIA leads in accelerated computing, crafting generative AI solutions. Our Networking Group innovates, providing powerful networking products for AI factories and cloud data centers. We are currently seeking an experienced Senior Product Marketing Manager, Data Center Networking to join our rapidly growing team responsible for a portfolio of AI networking products. As a key team member, you will develop and implement marketing plans that drive growth and adoption of our data center networking solutions. The ideal candidate will be a highly motivated and experienced professional who can effectively communicate the value and vision of our products to a diverse audience. If you bring a blend of business insight, technical expertise, and creative skills, we want to hear from you! What you'll be doing: Develop and implement strategic marketing plans to drive growth and adoption of NVIDIA Networking solutions. Build and deliver compelling messaging and value propositions that resonate with target audiences through a wide range of assets both written and visual. Collaborate with cross-functional teams, including fellow product marketers, product managers, sales associates, and engineering leaders, to ensure alignment and consistency in product messaging and positioning. Identify and pursue new marketing opportunities to expand our reach and drive product adoption. Serve as a subject matter expert on our products and industry trends, effectively communicating our value and vision to diverse audiences. What we need to see: BS degree or equivalent experience; MS or MBA preferred. 7+ years of experience in product marketing roles within a data center infrastructure technology company, with a proactive approach to getting results. Proven track record of developing and implementing successful marketing strategies in a fast-paced environment. A strong mix of technical and business skills-comfortable engaging across marketing, engineering, and product management teams, with the ability to align diverse perspectives. Ability to work cross-functionally and influence key collaborators. Balance near-term needs and strategic business vision, adapt to changing priorities, and pivot when needed. Approach centered on solving customer challenges and driving measurable outcomes. An entrepreneurial spirit and enthusiasm for working on new products and technologies. Ability to navigate cross-cultural environments effectively. Ways to stand out from the crowd: Strong knowledge of data center networking, acceleration technologies, and market trends, with familiarity in software-defined networking, data platforms, cybersecurity, and the broader cloud infrastructure ecosystem. Examples of previous product marketing work, preferably written, that demonstrate your communication and storytelling skills as an evangelist for your prior product/solution. Product marketing experience in a global organization, demonstrating the ability to collaborate across business units and diverse teams. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 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.

Summary: We are looking for a hands-on experienced Program Manager / Business Analyst with strong Asset Management and Data experience to analyze and lead strategic change initiatives identified through our Enterprise Data Governance efforts. Focus of the role is program management and business process re-engineering through the lens of data. This role will engage with all levels of stakeholders across the Business, Global Technology and Data Governance areas. Responsibilities: Work closely with members of the project team(s) and various Business and Technology Enterprise Data Governance stakeholders to understand business problems and current processes specifically related to the onboarding, maintenance and utilization of data across multiple domains. Lead the setting of project scope, execution, and implementation. Gather, analyze and document current and future state business process flows, lead the analysis of requirements, capture and identify project issues and risks and develop and implement mitigation strategies. Manage the planning and testing of the project. Ensure timely milestone achievement of Business Process, Data and Technology deliverables. Regularly update and communicate status to stakeholders including senior level Steering Committee members. Lead cross functional teams. Partner closely with the Data team members to attain high reusability and maintainability by building flexible data models and seamless integration points. Qualifications: BS or BA Degree and at least 5-10 years' experience work in business analysis and program management in a fast-paced environment. Working knowledge & experience with end-to-end process models in Asset Management is preferred. Proven ability to lead and deliver large strategic initiatives and the ability to liaise with various stakeholders. Working experience leading initiatives with a focus on data Knowledge of business process workflow tools Proficiency in Microsoft Excel, Visio, PowerPoint, etc Strong communication skills. Compensation Details The salary range for this role is $120,000-$160,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), life insurance and other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com. Learn about the Applicant Privacy Notice.

About Lila Sciences Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, please apply. Your Impact at Lila As a Data Scientist in our Physical Sciences organization, you will transform complex experimental and testing datasets into actionable insights that drive our autonomous lab's decision-making. You'll partner with electrochemists, synthesis chemists, characterization specialists, and automation engineers to ensure data quality, build predictive models, and inform scientific campaigns across materials and device development. ️ What You'll Be Building Data Infrastructure: Design and maintain robust ETL pipelines to ingest, validate, and preprocess data from diverse sources-electrochemical tests, materials characterization, and automated lab instruments. Feature Engineering & Modeling: Perform domain-relevant data transformations, extract meaningful descriptors from raw data (e.g., voltage curves, spectroscopic signatures, image-based measurements) and develop statistical or machine learning models to relate independent variables (time, composition, etc.) to performance metrics and failure modes. Analytics & Visualization: Create interactive dashboards and reports to communicate trends, anomalies, and key insights to scientific and engineering teams. Active Learning Support: Collaborate with ML scientists to integrate your analytical outputs into active learning loops, helping to prioritize experiments and optimize resource allocation. Cross-Functional Partnership: Work closely with R&D leadership, Product Managers, and automation specialists to translate scientific questions into data requirements and modeling strategies. Reproducibility & Documentation: Establish best practices for code versioning, data provenance, and analysis notebooks; contribute to internal knowledge bases and publications. What You'll Need to Succeed Master's or Ph.D. in Data Science, Statistics, Materials Science, Chemistry, Physics, or a related quantitative field. 2+ years of experience in data analysis, statistical modeling, or machine learning-ideally applied to physical sciences or engineering datasets. Proficiency in Python (pandas, NumPy, scikit-learn) and SQL for data manipulation and analysis. Hands-on experience building ETL workflows using tools like Airflow, Prefect, or similar. Strong foundation in experimental design, statistical inference, and multivariate analysis. Familiarity with data visualization libraries (Plotly, Dash, or similar) and dashboard frameworks. Bonus Points For Experience working with electrochemical or materials characterization data (e.g., impedance spectroscopy, X-ray diffraction, electron microscopy). Materials-specific python libraries (pymatgen) Exposure to cloud-based data platforms (AWS, GCP, or Azure) and scalable storage solutions. Knowledge of containerization (Docker, Singularity) and workflow orchestration (Snakemake, Nextflow). Prior contributions to open-source data tools or scientific software. Understanding of active learning, Bayesian optimization, or uncertainty quantification in experimental contexts. We're All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Industry/Sector Technology 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) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates extensive 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 using Google Cloud services; 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 leveraging Google Cloud and Google eco-system 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; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Lead the implementation of GCP 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 GCP services; Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; 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 GCP; Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using GCP; Optimize Cloud resources for cost, performance, and scalability; Possess strong proficiency in SQL and experience with relational databases; Demonstrate 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; Possess proven analytical, problem-solving, and communication skill; and, Work independently and as part of a team in a fast-paced environment. Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coach and collaborate with associates 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

About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead. Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today! As a Senior Data Scientist, you will: Implement solutions to solve sophisticated business and engineering problems using machine learning, econometrics and operations research techniques Build customer-focused analytics with data scientist peers Discover opportunities to improve systems, processes and enterprises through data analytics and automation Generate reports for decision-making using data visualization tools Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms Develop in-depth business and domain understanding Translate analytics techniques published in peer-review journals and conference proceedings into practical solutions for challenges at hand Required Education, Experience, & Skills: Bachelor or Master's Degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering Knowledge of HVAC and refrigeration related thermodynamics, system operation and system control logic Proven experience in applying signal process (time and frequency domain) for feature engineering Experience in data wrangling and modeling in Python or similar language and collaborate using Git Proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques Proficient in robust statistics, hypothesis testing, experimental design Experience with modelling techniques for sophisticated systems and machine learning Excellent verbal and written communication skills Ability to work virtually with a global team Ability to translate ambiguous business problem into actionable analytics and data science tasks Preferred Education, Experience, & Skills: Doctorate degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering or hold a combination of Master's degrees in Engineering and Analytics / Artificial Intelligence fields Extensive knowledge (3+ years) in "green refrigerant" system(s) working principle, related thermodynamics, system simulations 3-5 years of practical experience in predictive maintenance Proven experience as the technical lead for project(s) or research or acted as a change agent for transformation initiatives Experience in applying control theory, system identification, dynamic modeling, optimization to tackle practical system level instability and/or failure Experience in reinforcement learning (RL) and natural language processing (NLP) Experience with Docker, Azure DevOps, Agile sprints Familiar with basic SQL commands (e.g. windowing function, group-by aggregate, pivot) Ability and interest in translating highly sophisticated and abstract concepts to internal and external team members with minimum analytics knowledge Flexible Work Schedule- Remote Work Option and Core Hours This role has the flexibility of a remote work option up to three days a week and a core hour schedule. You can choose to flex your start and stop times given you are working during the core hours of 9:00am- 3:00pm. Our teams work together to ensure our chosen work schedules enable our creativity and productivity as we serve the needs of our customers. Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That's why everything we do is geared toward a sustainable future-for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k), tuition reimbursement, and more. We provide employees with flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Together, we have the opportunity - and the power - to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! #LI-AE1 Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That's why everything we do is geared toward a sustainable future-for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k) and more. We provide employees with flexible time off plans, including paid parental leave, vacation and holiday leave. Together, we have the opportunity - and the power - to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! Our Commitment to Diversity, Equity & Inclusion At Copeland, we believe having a diverse, equitable and inclusive environment is critical to our success. We are committed to creating a culture where every employee feels welcomed, heard, respected, and valued for their experiences, ideas, perspectives and expertise. Ultimately, our diverse and inclusive culture is the key to driving industry-leading innovation, better serving our customers and making a positive impact in the communities where we live. Work Authorization Copeland will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer Copeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment. If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: copeland.careers@copeland.com

Industry/Sector Not Applicable Specialism Cybersecurity & Privacy Management Level Manager Job Description & Summary A career in our Cybersecurity, Privacy and Forensics will provide you the opportunity to solve our clients most critical business and data protection related challenges. You will be part of a growing team driving strategic programs, data analytics, innovation, deals, cyber resilency, response, and technical implementation activities. You will have access to not only the top Cybersecurity, Privacy and Forensics professionals at PwC, but at our clients and industry analysts across the globe. Our Data Protection team focuses on helping our clients implement an effective data protection programme that protects against threats, propels data-driven transformation, and drives growth. As companies pivot toward a digital business model, exponentially more data is generated and shared among organisations, partners and customers. You'll play an integral role in helping our clients ensure they are mitigating risk by developing transformation strategies focused on data security, including efficiently integrating and managing new or existing data protection technology across their sensitive data landscape. Our team helps organisations safeguard critical assets by identifying, prioritising, and protecting sensitive or high value business assets. In joining, you'll focus on assessing, designing, and implementing data protection capabilities including data classification, encryption, de-identification, and sensitive data monitoring technologies to support a a data protection vision for our clients that can be integrated into their broader ERM, cybersecurity & regulatory framework. 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 an authentic and inclusive leader, at all grades/levels and in all lines of service. 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 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: Pursue opportunities to develop existing and new skills outside of comfort zone. Act to resolve issues which prevent effective team working, even during times of change and uncertainty. Coach others and encourage them to take ownership of their development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Develop a perspective on key global trends, including globalisation, and how they impact the firm and our clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Focus on building trusted relationships. Uphold the firm's code of ethics and business conduct. The Opportunity As part of the Data Protection team you are to manage projects relating to the defining and assessing of Data Protection strategy, architecture, and practices. As a Manager you are to supervise, develop, and coach teams, manage client service accounts, and drive assigned client engagement workstreams by solving and analyzing complex problems to develop elevated-quality deliverables. You are also responsible for leading Data Protection projects, evaluating new solutions and services, and managing teams implementing Data Protection tools. Responsibilities Lead Data Protection projects Evaluate new solutions and services Manage teams implementing Data Protection tools Supervise and mentor team members Manage client service accounts and engagement workstreams Solve complex problems to deliver top-quality results Define and assess Data Protection strategy and architecture Assure project success and maintain rigorous standards What You Must Have Bachelor's Degree 6 years of experience What Sets You Apart Bachelor's Degree in Computer Applications, Computer Engineering, Computer and Information Science, Information CyberSecurity, Information Technology, Management Information Systems preferred Certified Information Systems Security Professional (CISSP),Certified Information Security Manager (CISM), in Certified Risk and Information Systems Control (CRISC) preferred Managing teams developing and implementing Data Protection solutions and capabilities Leading Data Protection projects to define strategy and roadmap Demonstrating knowledge of NIST, HIPAA, COBIT, GDPR, CCPA Identifying and addressing client needs by building relationships with clients Managing a team and/or work stream on engagement(s) Leading project planning, engagement administration, budget management Managing business development opportunities and/or engagements from pre-sale through final delivery Travel Requirements Up to 40% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $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

#LI-SG1 About the team: Capco's Data Team helps our clients transform every aspect of their business. We are highly skilled at formulating data strategy, defining business and technology initiatives across the data management lifecycle, and aligning multi-year strategic roadmaps with client's business goals. As digital technologies advance and regulations tighten, today's consumers - and, therefore, today's businesses - are becoming more aware of the importance of good quality data. We work to establish holistic ways to effectively manage data through the modern data supply chain and facilitate consumption through analytics, modelling, AI, machine learning, dashboarding, and reporting. About the Job: Financial services firms are increasingly turning to graph and semantic technologies to unlock value from complex, siloed data. These tools-powered by AI and knowledge graphs-enable deeper insights by linking structured and unstructured information in ways that are both human- and machine-readable. This role focuses on helping clients design and implement such solutions, while also growing Capco's Data Practice through thought leadership, talent development, and strategic partnerships. The ideal candidate will drive innovation, support business development, and stay ahead of emerging trends in semantic graph technologies. What You'll Get to Do: Design, develop, and maintain ontologies to support knowledge graph initiatives and enterprise data management. Work with stakeholders to define data relationships, taxonomies, and semantic models to enhance data interoperability. Implement and optimize knowledge graphs using technologies such as RDF, OWL, SPARQL, and graph databases (e.g., Neo4j, Stardog, or Amazon Neptune). Collaborate with data scientists, engineers, and business teams to integrate ontologies into AI/ML models and enterprise applications. Ensure ontology alignment with industry standards (e.g., W3C, schema.org, FIBO) and evolving business requirements. Perform data modeling, entity resolution, and graph-based analytics to derive insights from structured and unstructured data. Develop and maintain documentation for ontology models, data dictionaries, and governance policies. Stay updated on advancements in graph technologies, semantic web, and linked data best practices. What You'll Bring with You: Bachelor's or Master's degree in Computer Science, Information Science, Data Science, or a related field. 5+ years of experience with Knowledge Representation and Semantic Technologies, e.g. OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads, including semantic modelling and data Proficiency in at least one of the following languages: Python, Java, C-based languages Working knowledge of several Graph/Triple Stores and related technologies, e.g. Stardog, Anzo, GraphDB, Apache Jena, TigerGraph, TypeDB, MarkLogic, Metaphactory, Neo4j, Protégé, Poolparty Experience delivering knowledge graph projects including data acquisition, modelling, pipelines and visualization Has managed technology projects with a sizeable amount of data Excellent Communication skills - be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies Experience in the financial services domain is a great advantage Ability to utilize NLP, machine learning and semantic text mining to translate data into machine understandable representations to support advanced analytics, classification, inference processing and knowledge extraction Agile software development frameworks, e.g. Scrum, Kanban, Extreme Programming Why Capco? A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation. We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering. Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business. We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW. We offer highly competitive benefits, including medical, dental and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees. Ready to take the Next Step If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. US Pay Range $111,000-$150,000 USD

P-987 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

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 Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About EpiSci EpiSci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. EpiSci's autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed-uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management command and control for informed decision-making. EpiSci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions. About the role As an Autonomy Data Analyst on the Network Collaborative Autonomy team, you will be responsible for curating, analyzing, and reporting on autonomy data collected during test events on Group 1-5 aircraft. Your role will play a critical part in the development and optimization of autonomous systems for aircraft, ensuring that data-driven insights lead to continuous improvements in autonomy algorithms and performance. At EpiSci, you will: Organize and manage autonomy data from test events involving Group 1-5 aircraft, ensuring data integrity and accessibility Implement data cleaning and preprocessing techniques to ensure data quality prior to analysis Analyze large sets of flight data to identify trends, anomalies, and performance metrics related to autonomous systems Apply statistical and machine learning methods to extract meaningful insights from raw data Work closely with test engineers, pilots, and software developers to ensure accurate data captured during test events is compliant with cybersecurity and data privacy policies We're looking for someone who has: Bachelor's degree in computer science or a related engineering field 4+ years of hands-on experience developing Python, C++, and R software for autonomous robotic systems Experience in performing data analysis for aviation or maritime applications Experience working with visualization in numpy or pandas (matplotlib, bokeh, holoviews, etc…) Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries Travel Requirements: Must be willing to travel as projects requires; estimated average travel is once every other month for between 2 days up to 1 week (~20%) Security Requirements: Must be a U.S. Citizen Must hold or be eligible to obtain and maintain a U.S. security clearance For more information about U.S. security clearances: click here. Nice to have: Master's degree in computer science or a related engineering field 7+ years of experience developing software for autonomous robotic systems in multiple programming languages Experience with cross-language schema development and data encapsulation tools such as Protocol Buffers Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing High proficiency in modern C++ (2011, 2017, 2020, smart pointers, etc.) w/CMAKE in Docker-based Linux environments Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $140,000 to $180,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior 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. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; 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 industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth 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; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates 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: $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

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

The Role We are seeking a skilled and experienced Data Engineer to join our innovative team. The ideal candidate will possess expertise in data engineering technologies, experience with market and credit counterparty risk platforms , and a solid understanding of the financial services sector. If you thrive in a collaborative, agile environment and excel at building scalable, high-performance data platforms, we’d love to hear from you. Responsibilities: Analyze, design, code, test, configure, and modify software for the functional delivery of platforms and solutions using programming languages and development methodologies. Design, develop, test, debug, and implement platforms, solutions, software tools, and utilities to ensure acceptable performance and service levels. Build and manage automated delivery pipelines for platforms and solutions using source control, infrastructure as code, and continuous integration practices. Implement monitoring, alerting, logging, and tracing to ensure the durability, availability, and performance of platforms and solutions. Collaborate with the Data Warehouse Architect to ensure successful platform strategies. Design and optimize scalable data pipelines using technologies like Airflow, Snowflake, and AWS cloud services. Work closely with stakeholders to ensure platforms meet both business and technical requirements. Produce technical documentation, including testing, training, and delivery artifacts. Requirements: 8+ years of experience delivering data-centric platforms with large datasets, fast SLAs, and high data quality standards. Proven experience with market and credit counterparty risk platforms (mandatory). Advanced proficiency in Python. Strong experience with AWS, Airflow, and Snowflake. Comfortable working in an agile delivery environment. Self-sufficient in a CI/CD environment, with hands-on experience automating deployments. Proven ability to contribute as an individual, including reviewing pull requests and ensuring quality code. Experience troubleshooting and debugging simple to complex issues. Strong interpersonal and organizational skills, with the ability to work collaboratively. We are hiring across multiple levels for this job. The base salary range across different levels are: • Mid to Senior level – $140,000 - $210,000 Placement within the range provided above is based on the individual’s relevant experience and skills for the role and level. We are hiring across multiple levels for this job. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance. Salary range disclosure as required by S9427A when hiring in New York. Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business. Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.

About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. About the Role Redhorse is seeking a skilled Mid-Level Data Engineer to join our team supporting the Chief Digital and Artificial Intelligence Office (CDAO) within the Department of Defense (DoD). You will play a crucial role in advancing data-driven decision-making by developing and maintaining robust data pipelines, ensuring the secure and efficient flow of information across diverse environments. This is a high-impact position offering significant contributions to national security initiatives and investments. Key Responsibilities Support the configuration and ingestion of designated structured, unstructured, and semi-structured data repositories into capabilities that satisfy mission partner requirements and support a data analytics and DevOps pipeline to drive rapid delivery of functionality to the client. Maintain all operational aspects of data transfers while accounting for the security posture of the underlying infrastructure and the systems and applications that are supported and monitoring the health of the environment through a variety of health tracking capabilities. Automate configuration management, leverage tools, and stay current on data extract, transfer, and load (ETL) technologies and services. Work under general guidance, demonstrate initiative to develop approaches to solutions independently, review architecture, and identify areas for automation, optimization, right-sizing, and cost reduction to support the overall health of the environment. Apply comprehension of data engineering-specific technologies and services, leverage expertise in databases and a variety of approaches to structuring and retrieving of data, comprehend Cloud architectural constructs, and support the establishment and maintenance of Cloud environments programmatically using vendor consoles. Engage with multiple functional groups to comprehend client challenges, prototype new ideas and new technologies, help to create solutions to drive the next wave of innovation, and design, implement, schedule, test, and deploy full features and components of solutions. Maintain an existing collection of web scraping tools used as the initial step of the ETL process. Identify and implement scalable and efficient coding solutions. Required Experience/Clearance Bachelor’s degree plus 3 years of experience, or a Master’s degree plus 3 years of experience. Experience with Big Data systems, including Apache Spark/Databricks. Experience with ETL processes. Experience in the ADVANA Data Environment. Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0. Experience applying DoD Security Technical Implementation Guides (STIGs) and automating that process. Experience with multiple coding languages. Active Secret security clearance. Equal Opportunity Employer/Veterans/Disabled Accommodations: If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.