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SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally. We're seeking highly driven, production-oriented developers who possess strong technical skills and the ability to work in a fast-paced collaborative environment. SCM offers the opportunity to work in person, remotely or in a hybrid work environment. This is an opportunity to work in a real-time environment where you can make immediate contributions. You will be part of a small team building real-time data feed handlers for the largest financial exchanges such as the NYSE, LSE, TSE, CME, BATS, ICE and NASDAQ. Primary Responsibilities: Develop and implement infrastructure to support market data and trading. Develop and maintain market data feeds. Build and design large scale applications, with a focus on reducing latency and improving the performance of the system. Requirements: High proficiency in C++ development in a Linux environment. A Computer Science degree. Outstanding problem solving skills. Familiarity with multi-threading and networking protocols (TCP/IP, Multicast preferred). Experience in a real-time environment in the Financial industry. The base pay for this position is anticipated to be between $100,000 and $250,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

Job Level: Technical Leadership-T3 Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026' we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Join our dynamic Chief Data Office (CDO) team as a Marketing Data Stewardship Sr. Lead, where you will play a pivotal role in enhancing the quality and governance of marketing data. Your expertise will ensure that customer data and insights are effectively harnessed to drive strategic decisions, ultimately shaping the future of marketing and consumer engagement at Mars Snacking. If you are passionate about data stewardship and eager to be at the forefront of our data-led AI revolution, this is the opportunity for you! In this role, you will collaborate with cross-functional teams to implement a robust data stewardship strategy, ensuring data quality and governance while fostering a culture of data literacy. Your contributions will not only support our marketing initiatives but also empower our teams to make informed, data-driven decisions. What are we looking for? Seasoned Professional: 7+ years of experience in data analytics, insights, or AI within large organizations. Data Domain Expertise: Proven experience with marketing and/or consumer data in a large enterprise setting. Data Stewardship Experience: Recent roles in data stewardship, with a strong understanding of business data challenges. Data Literacy: Solid grasp of data models, flows, and structures, ideally from hands-on experience. Data Governance Expertise: Ability to develop and enforce data governance policies; familiarity with cataloging tools like Collibra is a plus. Stakeholder Engagement Skills: Strong communication skills to engage effectively with both technical and non-technical audiences. What will be your key responsibilities? Lead the Charge: Support the Global Director in executing a bold Data and AI stewardship strategy for Marketing and Consumer Engagement. Governance and Quality Champion: Catalog critical data elements and ensure adherence to data governance policies. Information Architecture: Map complex data flows and develop conceptual data models to inform technical model development. AI/Analytics Innovator: Analyze and optimize data plans for AI/Analytics to drive consumer engagement and innovation. Cross-functional Collaborator: Engage with global and regional data stewards to address data issues and communicate progress. Continuous Improvement Advocate: Stay ahead of industry trends and adapt data stewardship processes to meet evolving needs. Influence Data Driven Transformation: Guide Regional Data Stewards in managing data assets across regional and market entities. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. #LI-Hybrid #LI-LD1 #TBDDT Skills: Action Planning, Analytical Processes, Business Data Modeling, Business Requirements Analysis, Customer and Market Analysis, Data Collection and Analysis, Data Control, Document and Model User Requirements, IT Data Management, Planning and Organizing Competencies: Action Oriented, Business Insight, Cultivates Innovation, Drives Engagement, Manages Complexity, Nimble Learning, Optimizes Work Processes, Plans and Aligns, Strategic Mindset, Tech Savvy The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience. The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment. The pay range shown is applicable to all locations listed within the job posting:USD 133,067.00 - USD 182,958.00

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

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people's success - today and tomorrow. While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment - investing the time and resources to understand our clients' immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships. Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO). Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News' Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate's 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com. Responsibilities Conduct moderately complex data profiling and analysis to evaluate data sources to determine the best source for business information Design and implement advanced data models, dashboards, and reporting systems using tools like, SQL, Python, Power BI Collaborate with data engineers to perform data validation and testing activities as appropriate Works directly with internal customers to refine requirements and validate output to ensure solutions will meet expectations and deliver actionable insights through data analysis Advanced database knowledge; creating/optimizing SQL queries, stored procedures, functions, partitioning data, indexing, and reading execution plans Utilize programming languages such as Python and VBA for data manipulation and analysis tasks Participate in project management activities using Agile methodologies to ensure timely delivery of projects Expert level of understanding and implementing ETL architecture; data profiling, process flow, metric logging, and error handling Document processes, workflows, and system designs using Visio to facilitate understanding across teams. Multi-task across several ongoing projects and daily duties of varying priorities as required Qualifications Minimum of 8 years of total experience in Data Analysis field. Experience in Banking and financial domain preferred. Proficient in analytics programming languages (SQL/R/Python) and automation tasks is essential Demonstrated understanding of data profiling, statistical analysis and data modeling concepts Proficient in extracting and leveraging data out of data warehouse, transactional databases, object stores & API based environments Demonstrated ability to translate business needs into technical solutions Ability to embrace change, adapt to the unexpected, and focus energies, people, and solutions on practical and positive results Demonstrated problem solving skills Strong communications skills with the ability to influence others using data and logic Ability to effectively mentor others Aptitude and drive to learn new technologies and analysis techniques Strong team player; able to work effectively within a team and more broadly with people from a variety of backgrounds and areas across the organization. Must be extremely proficient in Data Warehouse ETL Design/Architecture, dimensional/relational data modelling. Prior experience with database and model design and segmentation techniques Data warehouse experience with knowledge of SQL and the ability to query cloud relational databases like Snowflake or Redshift is a MUST. Familiarity with Coalesce/dbt is an added advantage for this job. Data Vault 2.0 (hubs satellite links) experience will be a PLUS. The duties listed above are the essential functions, or fundamental duties within the job classification. The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.

We are seeking a talented individual to join our Mercer Investments team at Mercer. This role will be based near a Mercer office anywhere in our East Zone. This is a hybrid role that has a requirement of working at least three days a week in the office. The Alternatives Data Solutions Leader will play a pivotal role in defining and executing Mercer's data strategy for alternative investments, supporting growth, operational excellence, and innovation within our global investment platform. We will count on you to: Define and embed the alternatives data strategy and vision for Mercer Investments, ensuring alignment with broader business objectives. Collaborate with Investment Teams and technology partners to identify capabilities and implement tailored, fit-for-purpose data solutions. Lead the execution of the data strategy by rolling out new platforms, ensuring data governance, quality, and compliance. Develop roadmaps, prioritize initiatives, and create metrics and dashboards to monitor progress and measure success. Foster a culture of collaboration, continuous improvement, and data-driven decision-making across Mercer's global offices. Partner with external vendors and internal teams to optimize operational performance and leverage innovative data technologies. What you need to have: 10 years of experience in the Asset Management industry, with direct exposure to Hedge Funds and Private Market Investment teams. Proven track record in leading global data operations teams and driving transformation through new processes and platforms. At least 5 years of experience in enterprise data strategy within an Asset Management organization, supporting investment operations. Familiarity with data ecosystems in Asset and Wealth Management, particularly in Alternatives investment processes. Strong leadership, communication, and stakeholder management skills, with experience presenting at the CxO level. Relevant certifications such as CFA and CAIA are highly desirable. What makes you stand out: Exposure to various asset classes including Long-Only funds, Hedge Funds, and Private Market Funds. Experience with tools like iLevel, Vidrio, S&P EDM, Diligence Vault, and Dasetti. Expertise in building analytics such as risk analytics, portfolio analytics, statistical modeling, and attribution analytics. Deep knowledge of core vendors, technologies, and emerging trends like cloud, automation, and AI/ML. A results-oriented mindset with a history of leading large-scale transformation initiatives in complex, multi-regional organizations. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. The applicable base salary range for this role is $118,800 to $237,600. 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.

P-988 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. 8+ 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).

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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! We are seeking a highly skilled and hard-working Senior Test Architect to join our multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of our flagship super computers and data center offerings. If you are a dedicated engineer with a deep understanding of firmware and date center systems, and you thrive in an exciting, innovative environment, this could be the flawless role for you! What You'll Be Doing: As a Firmware Test Architect at NVIDIA, you will be a key technical leader driving quality and reliability across our next-generation firmware stack. Your work will directly impact NVIDIA's ability to deliver robust, secure, and high-performing solutions for AI, HPC, and cloud-scale systems. You will: Define End-to-End Test Strategy: Own and drive the overall test architecture and validation strategy for firmware across multiple NVIDIA platforms-from pre-silicon simulation and emulation to post-silicon bring-up and production readiness. Develop test plans aligned with product deliverables and customer use cases. Architect Scalable Test Infrastructure: Design and implement modular, reusable test frameworks and automation harnesses that support functional, integration, stress, regression, power, security, and performance testing. Ensure test infrastructure scales efficiently across hundreds of systems in parallel. Engage with Engineering Teams across Functions: Work closely with firmware developers, hardware architects, silicon validation, platform QA, and system software teams to ensure comprehensive test coverage. Influence early design decisions to optimize testability and automation readiness. Own Firmware Quality Metrics: Define quality KPIs such as code coverage, system uptime, bug escape rate, and validation completeness. Establish dashboards and reporting mechanisms to track progress and drive data-driven decision-making. Drive Root Cause Analysis and Debugging: Lead complex issue investigations that span firmware, software, and hardware layers. Develop and document debug methodologies and tools to improve diagnosis efficiency across the team. Innovate in Lab Automation and CI/CD: Partner with DevOps and infrastructure teams to enhance test automation pipelines, integrate continuous testing into nightly and pre-merge workflows, and ensure fast and reliable release qualification. Enable Productization and Customer Readiness: Validate real-world use cases, customer configurations, and production scenarios. Contribute to release gates and sign-off criteria to ensure firmware is ready for deployment in systems critical to the mission. Mentor, Lead, Explore and Adopt Emerging Technologies: Serve as a technical mentor and coach to firmware QA engineers and junior test developers. Foster a culture of quality, innovation, and continuous learning across the organization. Stay up to date on trends in embedded validation, test automation frameworks, and industry standards. Champion the adoption of new tools, methodologies, and best practices to raise the quality bar. Boost Team Efficiency with AI: Demonstrate proven experience using AI-powered tools and copilots to accelerate test development, automate repetitive validation workflows, and streamline debug and root cause analysis. What we need to see: B.S./M.S./PHD in Electrical Engineering, Computer Engineering, Computer Science, or related field. 12+ years of experience in software/firmware testing, with a focus on embedded or low-level systems Strong knowledge of system architecture, boot processes, SoCs, I2C/SPI/PCIe interfaces, and embedded controllers. Proven experience designing test frameworks and infrastructure in Python, C/C++, or similar languages. Expertise with platform standards for security, telemetry and manageability (NIST, DMTF) Hands-on experience with server platform, network, storage, cluster configuration and debugging. Background with platform telemetry, datacenter node lifecycle management/support including CPU/GPU workloads Proficiency in scripting languages such as Python. Expertise in administering, operating, and configuring Kubernetes and Envoy. Validated experience in Continuous Integration/Continuous Delivery (CI/CD) tools such as Gitlab and Jenkins and the GitOps model. Experience with lab automation, HW-in-the-loop testing, and CI/CD pipelines (e.g., Jenkins, GitLab). Strong debugging, problem-solving, and analytical skills. Excellent communication and collaboration skills; experience working in a globally distributed team is a plus. Ways To Stand Out From The Crowd: Experience with NVIDIA platforms (e.g., DGX, HGX, Grace Hopper systems). Exposure to security validation, compliance (e.g., FIPS, BMC security), or thermal/power validation. Prior role as a test architect or technical lead for large-scale firmware or embedded validation programs. Contributions to open-source testing tools or frameworks with strong knowldege of cloud-scale validation, infrastructure automation, or virtualization. Prior experience with using AI tools to design test plan, identify test gaps, automation and failure analysis By joining our team, you will be part of a forward-thinking company that values innovation and creativity. We offer a competitive salary and benefits package, a flexible work environment, and the opportunity to work with some of the industry leading experts. If you're ready to take your career to the next level, we'd love to hear from you. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6. 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.

Data Scientist Los Angeles, CA Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! In this role you will: Transition from academia to industry. Make sense of complex marketplace data at webscale and perform noncommoditized data work. Develop scalable statistical algorithms and predictive models to support real-time decision making in a high frequency ad marketplace. Collaborate cross functionally with product managers, and engineers to define KPI's, evaluate A/B tests, perform casual inference, and use data to inform product decisions. Apply the creative problem solving skills you learned in academia to business problems. Work in a collaborative team environment with high personal accountability. We're looking for someone with: Python fluency. A PhD in a STEM field with a computational focus. (Both physical and social scientists are encouraged to apply.) Mathematical and statistical fluency. (Should be comfortable with calculus, linear algebra, statistics, and numerical analysis.) Familiarity with both llm's and classical machine learning techniques. Excellent written and verbal communication skills. Comprehensive Perks and Benefits: Comprehensive Healthcare Coverage for You and Your Family from Day One Generous Time Off Holiday Breaks and Quarterly Wellness Days Equity and Employee Stock Purchase Plan Family-Focused Benefits and Parental Leave 401k Retirement Savings Plan with Employer Match Disability and Life Insurance Cell Phone Subsidy Fitness and Wellness Reimbursement Company Culture: We believe collaboration is essential to success. Magnite's hybrid schedule includes two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday and Thursday). Our offices provide catered lunches, beverages, snacks, training and development, and office events to support your work week. We also understand you have appointments, families, hobbies, and other commitments. Magnite strives to maintain a healthy work/life integration for all employees so you can bring your best every day - both at work and at home. Community Service and Volunteer Events Company-Matched Charitable Contributions Wellness Coach and Mental Health Support Career Development Initiatives and a Career Growth Framework Culture and Inclusion Programs Bonusly Peer-to-Peer Recognition Program About Us The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC. In CA, the base salary range for this position is: $110,000 - $125,000 in addition to an annual variable bonus based on performance and company equity (NASDAQ: MGNI). For Los Angeles-based applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. The material job duties of this specific job position for which Magnite reasonably believes that a criminal history may have a direct, adverse, and negative relationship include: Having access to the Company's Confidential Information or trade secrets including data related to customers, clients, vendors, business partners, or suppliers Work with cross teams to access datasets, databases, formulas, algorithms, tools, products, prototypes, systems applications, and technologies in any stage of development Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class. Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change. Want to learn more about us? Check out our blog for Magnite announcements and Ad Tech industry news! Recruiting Agency Notice Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.

As a member of the Information Governance Department, the Matter Mobility Data Technician will coordinate all technical aspects of mobilizing client records into and out of the Firm, collaborating closely with practice groups, administrative departments, the General Counsel, Office Administrators, and other relevant staff to ensure compliance with the Firm's information governance processes and procedures. ESSENTIAL FUNCTIONS: Demonstrate expert understanding of electronic client data which will be applied to the collection, analysis/review, secure transport, and documentation of such data. Work with the newly integrated attorneys and in coordination with the IT department at the prior firm to retrieve matter data. Communicate with Attorneys, Client Service Specialist, and other Business Professionals as new data comes in and track data that is received. Advise attorneys to open matters as the new data is received and help them to provide a cross reference of old to new matters. Provide timely reports by writing queries and join tables SQL. Design SQL scripts that can be easily manipulated to efficiently address similar future analyses Follow established procedures to protect the integrity and authenticity of records. Maintain an in-depth understanding of industry trends and evolving technology. ADDITIONAL FUNCTIONS: Other duties, as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES): Education: Associate degree or certification with a focus in computer science/scription/software, required. Bachelor's degree preferred. A combination of education and experience will be considered in lieu of a degree. Experience: Minimum of 5 years of prior experience in data migration is required. Minimum of 3 years of matter mobility, preferred. Prior experience with PL/SQL & SQL Plus background. Knowledge, Skills, & Abilities: Knowledgeable in SQL. Knowledge of document management systems, preferably iManage. The ability to write queries and join tables for reports. Ability to recognize data in load files and translate prior to import into iManage. Able to combine multiple and manipulate data. Proficient in Excel. Ability to handle voluminous projects, deadlines and tasks through completion accurately, agility in handling shifting priorities, effective teamwork skills. Detail orientation, accuracy, adaptability, outstanding client service, ability to analyze for best solutions. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. DISCLAIMER Fox Rothschild LLP is under no obligation to provide sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. This job description is not an exhaustive list of all functions that the employee may be required to perform and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

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

Job Description: Sr Staff Engineer - Finance Data Specialist GEICO is seeking experienced Finance Data specialists to provide expertise and guidance in supporting the build out of a Finance data lake/warehouse. This individual must have the ability to provide coaching to business teams and technologists by guiding, planning, and partnering at various levels. This specialist will partner with the engineering teams in the establishment of a new Finance Data Warehouse. This role requires strong functional and technical Finance Systems background to partner with the Business and have effective discussions driving the capture, transformation, and utilization of Finance data to meet Business goals. The Senior Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data Warehouse/Lake to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. This role will work with multiple Finance and Technology leaders to set the strategy for building out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. The individual in this role will be a key advisor and partner to the Finance Leadership to redesign the way they use their technologies in managing GEICO's business. The Finance Data Specialist is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies to support deploying best practices, leveraging their broad and deep knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is required, with a deep understanding of the functional and technical aspects of ERP and Data Warehouse systems. Position Responsibilities As a Senior Staff Engineer, Finance Data Specialist supporting Finance Systems you will: Leverage your deep Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Lead design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Work with Business Sponsors to develop project roadmaps which align to business objectives and sequenced by priority and resource availability Support and influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various leadership levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Consistently share best practices and improve processes within and across teams Qualifications 20+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) 5+ years of experience in implementing and supporting FP&A applications (Preferred) 5+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Solid understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs 5+ years as a lead or architect supporting Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Deep Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Strong understanding of FP&A Budgeting, Planning, and Reforecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Strong understanding of Accounting process and reporting expectations to partner with senior Finance Leaders Ability to communicate and work directly with leaders across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a 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: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal 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. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 7 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP/Snowflake Preferred Knowledge/Skills: Demonstrates extensive abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and, Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used. Demonstrates extensive abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems; Working closely with business stakeholders to capture and document business; objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Coordinating and providing guidance to technology teams and architects to define and develop technology solutions; Demonstrating critical thinking and problem-solving methods and skills; Supervising teams to create an atmosphere of trust; Seeking diverse views to encourage improvement and innovation; Coaching staff including timely meaningful written and verbal feedback; Building, maintaining and utilizing networks of client relationships and community involvement; Using appropriate facilitation techniques to gain agreement or move others to action; Managing resource requirements, project workflow, budgets, billing and collections; and, Preparing and/or coordinating complex written and verbal materials. 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

We are seeking a talented individual to join our Government Human Service Consultant (GHSC) - Informatics team at Mercer. This role can be based in Phoenix, Atlanta, DC, or Seattle, and it is a hybrid role with a requirement of working at least three days a week in the office. Medicaid is a government-sponsored health insurance program in the United States designed to provide healthcare coverage to low-income individuals and families. As a consulting firm specializing in Medicaid, Mercer's GHSC team assists state governments in optimizing their Medicaid programs. Our team plays a vital role in managing and analyzing Medicaid claims data to enhance patient access to care, improve cost efficiency, and elevate the quality of services provided to these individuals. As a Government Healthcare Data Consultant, you will have the opportunity to collaborate with experienced programmers, actuaries, and clinicians, contributing to meaningful projects that aim to positively impact the lives of individuals and families in need. Join us in making a difference! We will count on you to: Utilize SAS programming software to interpret, validate and analyze large health care data sets Participate in initial meetings with client or project lead to define the scope of the project and provide insight and expertise including knowledge of the capabilities and flexibility of various approaches Define the data process based on project scope, insight from the project lead and direction from the project's senior actuarial staff Understand the reasons and impacts of data anomalies and exceptions on the analysis, formulate solutions, and communicate to client teams Perform technical peer review for data analysis projects Act as a mentor for junior staff What you need to have: BA/BS or equivalent experience required Minimum 4 years' experience using SAS (desired), SQL, or equivalent programming language Strong analytical and mathematical skills Ability to prioritize and handle multiple tasks in a demanding work environment Strong critical thinking and analytical problem-solving skills What makes you stand out? Experience with Medicaid programs and associated health care data, preferably in a consulting environment Excellent interpersonal skills; strong oral and written communication skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. The applicable base salary range for this role is $68,500 to $137,000. 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.

Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Description At Verily, as a Clinical Informatics Data Architect, your extensive knowledge in healthcare informatics and data architecture will be utilized to design data solutions that enhance usability, facilitate actionability and support informed decision-making. Responsibilities Contribute to the design and development of an advanced healthcare data architecture that adheres to industry standards and supports organizational goals. Participate in the data modeling, normalization and transformation efforts. Collaborate with cross functional teams in building data solutions leveraging the Precision Health Platform and streaming data architecture. Transform healthcare data into FHIR-compliant representations, ensure that instantiated FHIR resources adhere to the appropriate FHIR profiles and internal standards. Support a data integration strategy for ingestion of disparate healthcare data sources, i.e. EMRs, claims and 3rd party data, utilizing standard interoperability exchange protocols. Prepare design documents, participate in code review, attend cross functional team meetings specifically with Product and Software Engineering teams. Mentor and provide guidance to team members. Qualifications Minimum Qualifications Bachelor's degree in computer science, mathematics, MS degree in Clinical Informatics or a medical related field. 5 years significant experience in data modeling, data integration, data quality and data standards working in the Healthcare or Life Sciences industries. Demonstrated experience in healthcare knowledge standards, controlled terminologies (e.g. SNOMED, LOINC, RxNorm, etc),standard data models (e.g. OMOP, STDM, etc.) and healthcare interoperability standards; HL7 FHIR, HL7v2, X12, NCPDP, CCD-A etc. Strong skills related to SQL, Python, R, dbt, and Jupyter Notebook; experience with cloud computing platforms and using version control systems (e.g., Git) and collaborative development tools. Preferred Qualifications General knowledge of Artificial Intelligence (AI) components and techniques. Outstanding interpersonal, communication, and collaborative skills, a consensus builder and team player with a collegial working style. Ability to thrive in a fast-paced dynamic environment across multiple simultaneous efforts with evolving timelines and priorities. Knowledge of clinical practice and research. An understanding of operating procedures and workflows within a hospital or ambulatory setting. Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States. The US base salary range for this full-time position is $134,000 - $190,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits. Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Location: This role leads an international team and can be based in any major hub in AMER or EMEA. It does not require relocation. Summary: Salesforce seeks an inspiring and transformative SVP of Sales to lead Data Cloud sales in AMER and EMEA. This impactful role requires a visionary leader with the ability to shape the direction of Data Cloud, Salesforce's data platform. The ideal candidate will bring deep expertise in data platforms, data analytics, and cloud technologies, combined with a proven track record of driving revenue growth and building high-performing, resilient sales organizations. As SVP of Data Cloud - AMER and EMEA, you will be at the forefront of revolutionizing customer data platforms. Leading a distinct specialist sales team, you will empower them with the tools and expertise to maximize the impact of Data Cloud, while fostering cross-functional collaboration. Your leadership will drive a sales organization known for its exceptional growth, enduring success, and deep influence within the Salesforce ecosystem. By championing our core values of trust, customer success, innovation, equality, and sustainability, you will set a new standard for excellence and inspire others to follow. We seek a dynamic leader with advanced technical sales expertise and a deep understanding of data and cloud technologies. In this role, you will partner closely with prospective clients to address their most pressing challenges and showcase how Data Cloud can deliver customized solutions to meet their most critical business needs. Key Responsibilities: Data Cloud Leadership: Define and lead distinct, compelling visions for Data Cloud. As the leader of this critical team, you will drive exceptional performance across a specialized sales team while fostering cross-functional collaboration to maximize the impact within the broader Salesforce organization. Cross-Functional Collaboration: Partner with various Salesforce functions (Sales, Account Management, Marketing, Finance, Employee Success, and Recruiting) to maximize resources for Data Cloud. Leverage feedback from customers and internal teams to influence product development and refine the strategic roadmap. Growth Strategy: Jointly own the long-term growth strategy for Data Cloud. Identify new opportunities within industry verticals, expand business channels, and cultivate strategic partnerships to drive business growth and expansion. Team Leadership & Talent Development: Build and lead a high-performing team for Data Cloud, driving recruitment, development, coaching, and performance management. Foster a diverse and inclusive culture that aligns with Salesforce's core values of trust, customer success, innovation, equality, and sustainability, while cultivating the next generation of Salesforce talent. Required Qualifications: Expertise in data platforms, cloud technologies, and data analytics, with a strong ability to communicate complex technical solutions to both technical and non-technical audiences. Proven experience in leading third or fourth-line strategic sales teams at national or global levels, with a track record of exceeding revenue targets. Demonstrated success in recruiting, developing, and retaining high-performing teams. Ability to drive organizational transformation, foster cultural change, and implement continuous improvements in high-growth environments. Deep experience in managing relationships within highly matrixed organizations and collaborating across multiple business units. Strong operational and analytical skills, with a passion for data-driven decision-making. Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.). Leadership Characteristics: This is a unique opportunity for a visionary leader to shape the future of customer engagement at Salesforce, leading a specialist team that is at the forefront of data platform innovation and redefining how companies connect with their customers. A blend of technical expertise and sales acumen, capable of clearly articulating complex data platform solutions to diverse audiences. Business-savvy, with a focus on translating technical solutions into measurable business outcomes. Highly curious, self-aware, and low-ego, with a creative and agile approach to problem-solving. Strong customer success orientation, ensuring post-sale satisfaction and long-term engagement. Deep technical proficiency, with a thorough understanding of how Data Cloud creates value for stakeholders. Exceptional relationship-building skills, fostering long-lasting client connections. Agile, resourceful, and results-driven, with an ability to adapt to rapidly changing environments. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $296,000 to $397,000. For California-based roles, the base salary hiring range for this position is $296,000 to $397,000. For Illinois based roles, the base salary hiring range for this position is $296,000 to $397,000. For Massachusetts based roles, the base salary hiring range for this position is $296,000 to $397,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com .

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

Company Overview ServiceCore and Docket are rapidly-growing field-service Software as a Service platforms serving the portable sanitation and dumpster industries. Named the #80 fastest-growing software company in America by Inc. 5,000, we're redefining how our customers manage their businesses. Our software helps hardworking business owners save time, stay organized, and get paid faster by streamlining job management, route optimization, inventory tracking, and billing automation. We take pride in being the go-to solution for an underserved industry. Our customers work hard, and so do we-giving them tools to get more done with less stress. We live by our core values: Love Our Customers Be Real Give a Shit Deliver Results Keep it Fun At ServiceCore, you'll work in a fast-paced, agile environment where we take our work seriously but keep things fun and authentic. We believe in growing together, celebrating successes, and empowering each team member to make a real impact. Role Overview ServiceCore is seeking an energetic, ambitious and experienced Data Migration Engineer! This is a great opportunity to work with an amazing hybrid office team that's based in Denver, CO. You will report to the Head of CX Operations as a Data Migration Engineer. In this critical role, you'll transform how we handle customer data migrations by architecting and building intelligent automation systems that eliminate manual bottlenecks and revolutionize our data implementation processes. You'll own the complete data migration lifecycle while leveraging cutting-edge AI tools and Python scripting to create scalable solutions that multiply our team's effectiveness. This is a highly autonomous position for a strategic problem-solver who thrives on innovation and can seamlessly transition to hands-on customer work when needed. Role and Responsibilities To successfully deliver products in a fast paced working environment you will need to: Own End-to-End Data Migration Strategy: Develop and execute comprehensive migration plans, define technical architecture, and ensure successful delivery from planning through completion Build & Optimize ETL Pipelines: Create robust, scalable ETL solutions that efficiently extract, transform, and load data from diverse customer systems and formats Drive AI Integration & Innovation: Research and implement cutting-edge AI/ML tools to rapidly develop intelligent applications, scripts, and ETL pipelines that automate data processes, proactively eliminate workflow bottlenecks, and improve customer onboarding speed Ensure Data Integrity & Quality: Implement rigorous automated validation, reconciliation, and error handling processes to maintain high data accuracy and reliability standards throughout all migration workflows Execute Hands-On Customer Data Implementations: When needed, work directly with customers to understand their existing data infrastructure, execute complex data imports, and resolve migration issues Maintain & Evolve Automation Ecosystem: Continuously improve and optimize the toolset for reliability, scalability, and adaptability while creating comprehensive documentation for team adoption Cross-Functional Collaboration: Work closely with implementation specialists, engineering teams, and customer success to understand pain points and build solutions that address real operational challenges Qualifications 2+ years of data engineering in a SaaS environment or software development experience with a strong focus on data migration, ETL, automation, or data engineering, with a proven track record of successful complex migrations Advanced Python expertise including proficiency with data manipulation libraries and API integrations Strong SQL proficiency across various database systems AI-Powered Automation Expertise: Proven track record of building tools/systems to automate manual processes, with demonstrated experience or strong interest in applying AI/ML and modern AI coding assistants to data challenges Full-Stack Development Capabilities: Ability to build complete applications including web interfaces, APIs, and data processing backends Customer-Facing Experience: Comfortable working directly with external customers to understand technical requirements and troubleshoot complex data issues Creative Problem-Solving: Strong analytical skills with a creative approach to solving complex data challenges and developing innovative solutions Project Management & Communication: Experience managing technical projects from conception to deployment, with ability to explain technical concepts to both technical and non-technical stakeholders Startup Agility: Self-starter with growth mindset who thrives in fast-paced environments, is highly proactive and innovative, and can context-switch between building and executing Bonus: Experience with cloud data platforms (AWS, Azure, GCP) Base Salary: $100k - $165k (based on experience) Benefits and Perks Open-Time Off Policy with 13 Company Holidays Excellent Medical, Dental and Vision Insurance Coverage 401k with Employer Match Weekly Lunches + Stocked Kitchen Casual Office Environment Regular Company Events and Happy Hours A Strong Company Culture that Lives by Our Core Values - Love our Customers, Be Real, Give a Shit, Deliver Results, and Keep it Fun. Ready to Apply? If you believe you match the above criteria and are desiring a dynamic start-up environment with a management team that is dedicated to your success, then please apply! In addition to our commitment to equal pay for equal work, ServiceCore is also committed to equal opportunity regardless of race, color, age, ancestry, religion, gender, gender identity, genetic information, parental or pregnancy status, sexual orientation, marital status, citizenship, national origin, disability, or veteran status.