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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

Our commissioning team specializes in commissioning the mechanical, plumbing, and building enclosure systems of a diverse range of facilities, including mission-critical, industrial, healthcare, aviation, commercial, and education facilities. We ensure reliability, efficiency, and quality in every project. We are seeking a Senior Commissioning Authority with experience in mechanical/HVAC data center commissioning for major technology clients. This role is a unique opportunity to be at the forefront of mission-critical commissioning in the rapidly expanding data center industry. If you have the expertise and drive to ensure world-class reliability and efficiency, we want to hear from you! Responsibilities: Perform on-site commissioning of critical infrastructure, including cooling systems (CRAC, CRAH, chiller plants), humidification systems, and fire suppression systems. Train and mentor junior commissioning agents on best practices for data center commissioning, including mechanical systems, TAB, and controls integration. Develop and lead training programs to standardize mission-critical commissioning processes for the commissioning team. Oversee and execute project-specific commissioning scopes of work for data center environments. Conduct reviews of construction documents for commissionability, focusing on redundancy, resiliency, and high-availability mechanical systems. Direct development of and review commissioning plans, including narratives, pre-functional checklists, and functional performance tests tailored to data centers. Schedule and coordinate commissioning site visits and deliverables for large data center projects. Conduct and document Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and Integrated Systems Testing (IST). Monitor performance trends and analyze system reliability for Tier III and Tier IV data centers. Review testing, adjusting, and balancing (TAB) reports with a focus on precision cooling requirements and airflow management. Assess and provide recommendations for building automation systems (BAS) and controls integration. Prepare and submit final commissioning reports that align with major technology company expectations. Coordinate and work with electrical CxA counterpart in executing commissioning work. Minimum Qualifications: HS Diploma or A.S. Degree required. Minimum of 7 years of experience in commissioning, mechanical engineering, or related construction trades (MEP, TAB, or Controls). Extensive experience commissioning enterprise-level data centers for global technology organizations. Strong knowledge of Microsoft Office Suite and commissioning software. Ability to travel frequently on a flexible schedule for national project sites. In-depth understanding of mechanical system installations with integration into Building Automation Systems (BAS) and advanced control platforms. Proven ability to lead and train teams on mechanical commissioning, TAB, and controls best practices. Familiarity with Tier certification standards (Uptime Institute Tier III & IV). Preferred Qualifications: Certified Commissioning Authority (CxA) or other recognized commissioning certification (e.g., BCxP, CCP, CPMP). Certified Data Centre Professional (CDCP) or equivalent is a plus. Experience with LEED and energy efficiency standards for data centers. Base Salary range: $109,000 - $135,000 depending on knowledge, skills, and experience. Incentive compensation bonuses based on performance are also included. The disclosed range estimate, unadjusted for location-based differences, may vary where the position is filled. Benefits: Medical, Dental, and Vision Insurance, Life Insurance, Disability Insurance, Paid Parental Leave, Wellness Programs, 401(k)/Roth Retirement Plans, Tuition Reimbursement, PTO, Employee Referral Program, and Mass Transit Program. Gresham Smith is an equal opportunity employer and does not discriminate. Everyone is invited to apply! Gresham Smith will not accept unsolicited resumes from recruiters, headhunters, contract recruiters, search firms, or employment agencies. An executed GRESHAM PLACEMENT SERVICES AGREEMENT (PSA) is required prior to any payment obligation for either a referral or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously executed PSA, GRESHAM SMITH explicitly reserves the right to recruit and hire those candidate(s) at its discretion, and without any financial obligation whatsoever to the recruiter or agency. Any such unsolicited resume or candidate contact information, including those submitted directly to GRESHAM SMITH'S hiring managers or any other employee, shall become the property of GRESHAM SMITH upon receipt.

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

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

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

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

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

SMX is seeking a Senior Zero Trust Data Engineer to join a team of highly driven, supportive, and skilled professionals engaged in supporting clients across INSCOM programs. For this role, SMX is seeking a skilled professional to develop and manage distributed, parallel data processing pipelines that support Zero Trust (ZT) principles. This role involves end-to-end responsibility for critical data workflows, including establishing data connections, parsing and normalizing data, mapping and modeling structures, enriching datasets, and integrating with advanced data analytics platforms. The ideal candidate will have a strong background in scalable data engineering and a keen understanding of secure, reliable information handling in complex environments. This is a full-time onsite position in Ft. Belvoir, VA. Essential Duties & Responsibilities Develop and manage distributed parallel data processing pipelines, which include but is not limited to processes such as establishing data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics, supporting ZT principles. Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform. Handle all stages, including data connections, parsing, normalization, mapping, modeling, enrichment, and integration with analytics platforms. Collaborate cross-functionally with software engineers, data scientists, intel analysts, and customers to ensure data processing pipelines meet military requirements. Communicate clearly and effectively with teammates, customers, and external partners. Prepare written and verbal communications on analyses, findings, and project progress. Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material. Collaborate with functional area Data Stewards and other ZT Pillars to explore data flow mapping tools. Identify automated data tagging/labeling solutions and assist with market research to evaluate their capabilities, scalability, and alignment with organizational requirements. Coordinate with Data Governance CME and Automation Pillar Lead, test integration of data and attribute-based access into Policy Decision Points (PDP) and Policy Enforcement Points (PEP). Required Skills, Experience & Education Active Top Secret (TS) security clearance with eligibility for SCI and NATO read-on before starting work. Security+ certification Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 8 years' experience as a data engineer OR a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) with 10 years' experience as a data engineer. 8+ years' experience in cybersecurity, systems engineering, or information technology, with significant project delivery for large, complex organizations. 8 years' experience with distributed parallel streaming and batch data processing pipelines. 8 years' experience with Python, Java, or other programming languages. 8 years' experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC). 8 years' experience with developing, operating, and maintaining data processing pipelines in a classified environment. 8 years' experience integrating with data SDKs / APIs and data analytics SDKs / APIs. 8 years' experience with data mapping, modeling, enriching, and correlating classified data. 8 years' experience with the identification and duplication of data sources and record types to meet military requirements. 8 years' experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab. Meet all requirements to receive a privileged user (PU) account on a government information system prior to starting work. The requirements are currently defined in DoDD 8140.01. Desired Skills/Experience Experience integrating with Army Intel information systems and record types Certified Information Systems Security Professional (CISSP) Certified Information Security Manager (CISM) Certified Data Management Professional (CDMP) AWS Certified Security - Specialty or equivalent cloud certifications Application Deadline: August 18, 2025 #CJPOST #LI-onsite The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $133,100-$221,800 USD At SMX, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification.

Data Validator Job Category: Service Contract Act Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US The Opportunity: CACI is actively seeking a skilled Data Validator to join our team at the Material Readiness Database (MRDB) at Naval Surface Warfare Center (NSWC) Corona. The Data Validator will act as a subject matter expert on various Weapons Systems. This role is critical to ensuring the accuracy and reliability of data within the Material Readiness Assessment (MRA) databases. Responsibilities: Serve as a subject matter expert (SME) for various Weapons Systems. Validate source data prior to loading into the Material Readiness Assessment (MRA) databases. Review U.S. Navy fleet failure data for accuracy, completeness, and relevancy. Score failure data using a Reliability Block Diagram methodology. Verify data completeness and adherence to documented standards. Participate in collaborative data review sessions with Government Analysts. Monitor data quality and investigate/resolve data discrepancies. Perform ad-hoc data calls as requested. Qualifications: Prior hands-on experience aboard U.S. Navy ships (military). In-depth understanding of U.S. Navy fleet failure data and maintenance documentation. Proven ability to work independently with minimal supervision. High attention to detail with a commitment to delivering error-free work. U.S. Citizenship. Ability to obtain and maintain a security clearance. Desired Qualifications: Prior experience with MRDB or MRA tools and Navy maintenance systems. Familiarity with Navy Weapons systems Experience with Close-in weapon system (CIWS) ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: This posting is for a position covered by the Service Contract Labor Standards (SCA). The pay and benefits provided for this position will meet or exceed the minimum required amounts detailed in the wage determination issued by the Department of Labor and made applicable to this position, as incorporated into CACI's government contract for the work location. Minimum Required Hourly Wage: $31.31 There are a host of other factors that can influence final salary including, but not limited to, geographical location, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Job Family: Digital Consulting Travel Required: Up to 10% Clearance Required: None What You Would Do: We are seeking a detail-oriented and proactive AI & Data Program Management Office (PMO) Manager to support the execution and coordination of strategic initiatives across our AI and Data capabilities. Reporting to the PMO Lead, this role plays a critical part in maintaining operational excellence, supporting portfolio and resource management, and ensuring effective communication and knowledge sharing across the team. Key Responsibilities: Knowledgebase Support: Maintain and update the AI & Data knowledgebase to ensure accuracy, accessibility, and usability of key resources and documentation. Portfolio Coordination: Assist in tracking and reporting on the Data, Analytics, and AI portfolio across Segments, Solutions, and Platforms to support strategic alignment and decision-making. Resource Management Support: Collaborate with Resource Management Points of Contact (POCs) to monitor staffing allocations and identify resourcing needs across the Capability Team. Communication Enablement: Facilitate internal communications, meeting coordination, and information flow to promote transparency and collaboration. Skills and Training Logistics: Support the coordination of skills assessments and training logistics in partnership with Capability Leaders and Learning & Development teams. Process Improvement: Identify and implement process enhancements to improve PMO operations and reporting efficiency. Budget Tracking Assistance: Assist in monitoring investment budgets and preparing financial reports to support fiscal accountability. Compliance Monitoring: Track and summarize regulatory updates relevant to AI and data delivery and support internal dissemination of key changes. What You Would Need: US Citizenship is required Bachelor's degree is required Minimum FIVE (5) years of experience in program or project management, preferably in AI, data, or technology environments. Strong organizational and coordination skills with attention to detail. Excellent written and verbal communication skills. Experience supporting resource planning and budget tracking. Familiarity with project management tools and reporting dashboards. What Would Be Nice to Have: Project management certification (e.g., CAPM, PMP). Master's degree in a related field (e.g., Information Systems, Data Science, Business Administration). Experience working in a matrixed or consulting environment. Exposure to knowledge management systems and collaboration platforms. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

ORGANIC & INORGANIC DATA VALIDATION CHEMISTS Interested in making a difference to the planet? Want to work with a team of Environmental Chemists who care about the protection of human health and the environment? Are you seeking broad exposure to environmental remediation and Superfund-related cleanup processes with interaction with EPA on a regional level? Enjoy travelling for your work? ICF is seeking motivated Environmental Data Validation Chemists to join our team of environmental professionals to support an EPA contract, the Environmental Services Assistance Team (ESAT), across the country. The team performs soil, water, air, waste, and tissue sample analysis for chemical contaminants primarily supporting Superfund site assessment, remediation, and emergency response but also for compliance under the Safe Drinking Water Act and the Clean Water Act. Additional support provided by the team includes sample receipt and tracking, maintenance and monitoring of laboratory support equipment, inspections of safety equipment, chemical and supply inventory, environmental compliance activities, field sampling and analysis, warehouse support, and analytical subcontracting. We are seeking candidates for EPA Region 9, Dallas, TX. What You Will Do Responsible for evaluating and validating environmental laboratory analytical data for compliance with method and program/project QA/QC requirements. Reviews of laboratory-reported data will be conducted following EPA's National Functional Guidelines or other procedures, as directed. Duties will include preparing written reports and editing electronic data in the cloud or through electronic file transfer to incorporate validation qualifiers, as well as reviewing the work of others doing similar work (i.e., technical or peer review). The successful candidate must be able to work both independently and as a member of a team of chemists and technicians. Basic Qualifications Bachelor's degree in chemistry, or equivalent years (4 years) of chemistry lab experience 4+ years of experience in organic and/or inorganic analysis using CLP, SW-846 and other EPA methods. US citizenship is required per federal contract requirements. Must be able to pass an EPA background check to obtain access to US federal property. Additional Skills We Expect You To Have Ability to work remotely (i.e., experience using collaboration tools such as Microsoft Teams, maintaining joint calendars, schedules, or files). Experience writing, reviewing, or implementing quality assurance project plans (QAPPs), sampling and analysis plans (SAPs), and related documents in accordance with EPA QA/R-5: EPA Requirements for Quality Assurance Project Plans; EPA QA/G-9: Guidance for the Data Quality Assessment: Practical Methods for Data Analysis; EPA QA/G-4HW: Guidance for the Data Quality Objectives Process for Hazardous Waste Sites; and other EPA quality assurance guidance is desirable. What We'd Like You to Have Experience in non-routine analyses such as PFAS by EPA methods, explosives, or radionuclides is desirable. Laboratory experience with EPA methods and laboratory instrumentation such as HPLC, LCMS, GC, GC/MS, GC/HRMS, ICP/AES, ICP/MS, IC, CVAA, etc. for the analysis of organic and inorganic constituents and contaminants is preferred. Experience in validating data according to the EPA National Functional Guidelines and use of the SMO Portal EXES website and software is preferred. #ESAT #Indeed #LI-CC1 Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $60,927.00 - $103,576.00 Texas Client Office (TX88)

Location Charleston - 997 Morrison Drive, Suite 402 Business Our Growth, Your Opportunity At Maymont Homes, our success starts with putting residents first. We're expanding to bring clean, safe, attractive, and affordable housing to more families across new markets. With over 20,000 homes, multiple build-to-rent communities, and more on the horizon, we're not just a leader in the single-family rental space, we're a company that truly cares about the people and communities we serve. As a division of Brookfield, Maymont Homes is growing fast and making an impact. Join us to shape a brighter future for our residents while advancing your career with a purpose-driven team. Job Description Primary Responsibilities: The Data Analyst is responsible for leveraging advanced data analysis and reporting tools to drive strategic decisions and improve operational efficiency. This role requires strong proficiency in writing complex SQL queries to extract and manipulate data from large, relational databases, as well as the ability to build intuitive, impactful dashboards and reports in Power BI. The ideal candidate is a proactive problem-solver who can translate ambiguous business questions into clear analytical approaches, collaborate with cross-functional teams to gather requirements, and deliver actionable insights that support key initiatives across the organization. Skills & Competencies: Minimum 2 years of professional experience in data analysis, reporting, or business intelligence. Proficient in SQL for querying, transforming, and analyzing large datasets; experience writing complex joins, stored procedures, and performance-optimized queries. Hands-on experience with Power BI for building dashboards, creating data models, and visualizing insights to support business decision-making. Familiarity with Python or other scripting languages is a plus. Bachelor's degree in Analytics, Finance, Statistics, Mathematics, Data Science, Information Systems, or a related field or equivalent work experience required. Advanced degrees are a plus. Ability to define reporting standards, develop reusable data models, and implement scalable reporting frameworks. Experience developing analytical workflows and repeatable processes for data presentation and interpretation. Strong collaboration skills; able to work cross-functionally with stakeholders to define reporting needs and deliver actionable insights. Experience maintaining and improving reporting systems and processes; able to troubleshoot and optimize existing reporting assets. Skilled in relational databases and business intelligence tools; experience with varied database applications and analytical platforms. Knowledge in fair housing and local real estate laws, where applicable Proficient in Microsoft Office Suite, with intermediate to advanced Excel skills. Demonstrated strong written and verbal communication skills Detail oriented, with the ability to produce high quality work in a deadline-oriented environment and an ability to multi-task Ability to prove critical thinking and problem solving concepts Ability to thrive in a high volume, data entry and processing work environment, where applicable Essential Job Functions: 60% Perform data analysis on large, complex datasets using SQL, Power BI, and other analytical tools to generate actionable insights and reporting solutions. 20% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytic solutions and strategic insights 10% Cleanse, validate, and test data to ensure accuracy, consistency, and reliability of outputs. 5% Support enhancements and modifications to existing reporting systems, data processes, and procedures. 5% Other duties, as assigned by supervisor or leadership team. Key Metrics & Responsibilities: Development of documentation and SOP Successful completion of projects assigned Why work for Maymont Homes ? Our Mission - "We Positively Impact the Lives in the Communities We Serve". We do this through the work we do and the volunteer efforts that the company sponsors. You can make a difference in your community while you work! Outstanding benefits package - our benefits are provided by Brookfield and offer immediate 5% match on the 401(k) plan, wellness credits that significantly reduce the employee cost for health care coverage, and up to 160 hours of PTO per year for full time employees. Huge parent company - support and backing from Brookfield Asset Management, one of the largest real estate asset management companies. Career growth - with our plans for growth and expansion into new markets, there are many opportunities to move up within the company. Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. #MYMT

Network Data Specialist II Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Network Data Specialist II Responsible for accurate, timely maintenance of critical provider information on all claims and provider databases. How you will make an impact: Maintains critical provider information on all claims and provider databases. Synchronizes data among multiple claims systems and application of business rules as they apply to each database. Validates the data to be housed on provider databases and ensuring adherence to business and system requirements of customers as it pertains to contracting, network management and credentialing. Minimum Requirements Requires a high school diploma or equivalent and a minimum of 3 years related experience; or any combination of education and experience, which would provide an equivalent background. Preferred Experience, Skills, and Capabilities: Strong attention to detail and ability to orient to complex data structures preferred. Excellent written and verbal communication skills are preferred. Demonstrated ability to document processes and findings effectively, with strong research skills preferred. For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $21.63 to $33.91. Locations: California, Minnesota In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws. The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Job Description Infosys is seeking a dynamic and visionary Principal Consultant in Data, Analytics, and AI to lead transformative digital initiatives for our global clients. In this strategic role, you will drive end-to-end consulting engagements-from problem definition and business process analysis to solution architecture, development, and deployment-within a global delivery framework. Key Responsibilities: Digital Transformation Leadership: Spearhead data-driven transformation programs that align with client business goals and industry trends. Serve as a trusted advisor to clients, guiding architecture and design decisions with deep domain expertise. Consulting & Solutioning: Anchor consulting engagements by identifying business challenges and crafting innovative, scalable analytics and AI solutions. Lead the design and implementation of advanced data platforms, machine learning models, and intelligent automation frameworks. Client Engagement & Business Development: Drive business growth by supporting pursuit initiatives, crafting compelling proposals, and presenting value-driven solutions. Build and nurture long-term client relationships through strategic insights and delivery excellence. Collaborative Culture: Thrive in a culture that values continuous learning, innovation, and diversity. Collaborate with global teams to deliver excellence and foster a high-performance environment. Required Qualifications: Candidate must be located within commuting distance of Bridgewater, NJ or be willing to relocate to the area. This position may require travel to project locations. Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 11 years of Information Technology experience At least 7 years of experience in Data, Analytics and AI preferably in the Telecom domain Should have experience in running RFPs and Data and Analytics Presales activities. Experience in handling account management for an account of size > 5 MN per annum and working along with Sales team in Medium/Large deals (Min Size > 5 MN Annuity, Size > 2.0 MN Dev/transformation) Managed client relationships at Director/GM at customer organization Able to lead the team at customer location and experience in managing large teams in a global delivery model Able to understand the architecture on any Clod Data Platform / Hyperscaler and identify potential opportunities for improvement. All applicants authorized to work in the United States are encouraged to apply. Preferred Qualifications: Experience in solving business problem in the relevant industry, understanding of E2E functional flows of the customer business Able to create a Business Plan for expanding business - with a good understanding of potential business opportunities, competition strengths and weaknesses Continuous improvement, Innovation, and growth Mindset Good communication, articulation, and presentation skills Good understanding of solutions, accelerators and value proposition in Data, Analytics and AI Learnability and focus on new / emerging areas Good understanding of Agile software development frameworks Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams Experience and desire to work in a global delivery environment The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits :- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, 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: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. 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: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and 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/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough 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; 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; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Coresite At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we're not just building state-of-the-art infrastructure-we're creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Data Center Technician III Role The Data Center Technician III assists in the operational integrity, security, and regulatory compliance of the data center. The technician is to have a strong knowledge of telecommunications, mechanical, electrical, and life safety systems as well as data center operating procedures. We are currently hiring for the Night Shift: 11:00 pm - 7:30 am Saturday-Wednesday A Tier III technician will be responsible for day to day operations of the data center including facilities and telecommunication infrastructure. The responsibilities are wide ranging and multi-disciplinary. Mechanical responsibilities will include working on chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, humidification systems, and central plant operations. Electrical responsibilities will include working on electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load including power circuit installations. Fire Life Safety responsibilities will include monitoring wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Telecommunications responsibilities will include cross connect installations, cabling infrastructure management, advanced remote hands support, and customer cage and cabinet build outs. Responsibilities will include customer infrastructure build-outs (cage builds, overhead installations, rack and stack), cable termination and testing, maintenance work, monitoring and responding to mechanical, electrical, fire protection, telecom, and security systems. These systems include, transformers, PLC's, generators, switchgear, UPS systems, STS', ATS' PDU's, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV. Duties: Completion of CoreSite's Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment. Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Communications, Building Monitoring and Control. Tracking and trending operational characteristics. Provide feedback to management on the effectiveness of existing standards and processes. Works with contractors and consultants for all system expansions, corrections and upgrades Work with the senior technicians to track and complete an aggressive preventive and predicative maintenance schedule. Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction as per CoreSite guidelines. Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT. Manage systems to avoid unplanned, customer-impacting outages. Navigate and utilize a CMMS system. Provide day-to-day exceptional customer service and support. Maintain and complete regular facility and security tours documenting and responding to found issues. Assist with the database management of maintenance discrepancies and work with to resolve site issues based on agreed upon priorities. Follow direction from data center management regarding the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency. Trouble Ticket and Remote Hands Management Fiber and Copper cabling terminations Circuit path creation and verification Coordinate and oversee power installations and upgrades Work Order Completion Process Infrastructure projects (Internal/Customer) Cage and Cabinet Build-Outs Overhead Installations Rack and Stack Use developed procedures to solve problems Assist in asset and consumable inventory management. Responsible for the tracking and proper labeling of all equipment per established procedures. Incident escalation, response, and follow-up report writing Manage building service requests through resolution. Perform and complete work orders and customer service tickets in a timely manner Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities. Adhere to and promote CoreSite's Principles of Operational Excellence Provide applied mechanical and integrated control expertise for the entire data center.

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

Carter Machinery Company, the authorized Caterpillar dealer serving Virginia, West Virginia, Maryland, Delaware and Washington D.C. is hiring a Project Management Trainee in Elkridge, Maryland. The Project Management Trainee performs assigned duties in pre-assigned locations and departments under direction of experienced personnel, to gain knowledge and experience required for promotion to project management positions within the power systems division of the Company. Seeking candidates with a high school diploma or equivalent; College degree in related field or three years related work experience preferred; Project management experience preferred. Requirements for the Project Management Trainee include: Excellent verbal and written communication skills. Excellent interpersonal and customer service skills. Excellent organizational skills and attention to detail. Excellent time management skills with a proven ability to meet deadlines. Strong analytical and problem-solving skills. Must be able to prioritize tasks and to delegate them when appropriate. Must be able to function well in a high volume and fast-paced environment. Proficient with Microsoft Office Suite or related software. Willingness to work out of town up to 75% of the time during training period and travel throughout Carter's territory. Must be open for the possibility of relocation within Carter's territory. Promote a positive customer experience. Uphold the Core Values of Integrity, Commitment, Excellence and Teamwork by embracing The Carter Way. Physical requirements must be met for the Project Management Trainee job, including the ability to sit and talk or hear. The employee is frequently required to stand; walk; use hands to finger, handle, or feel and reach with hands and arms. Employee may occasionally lift and/or move up to 20 pounds. Specific vision abilities required by this job include close vision, distance vision and ability to adjust focus. This job description is not intended to be all-inclusive. Additional duties may be assigned. Starting Compensation Range: $75,000 - $80,000 per year Actual base salary may vary based upon, but not limited to, relevant experience, skills, candidate qualifications, education, geographic location, and other relevant business factors. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance e.g. discretionary incentive programs or non-discretionary incentive plans. Competitive Compensation and Benefits: Health, dental and vision insurance. Paid time off. 401(k), $0.75 to $1.25 match up to 6%. Life and disability insurance. In-house training instructors/programs. Tuition reimbursement. Employee referral bonus program. Discounts: cellular phone service, computers, tooling, cars and trucks. Opportunities for overtime Shift differential (if applicable) Carter Machinery Co. Inc. is an EEO/AA Employer. All qualified individuals - including minorities, females, veterans, and individuals with disabilities, or any other characteristic protected by law - are encouraged to apply. Carter Machinery is a drug-free workplace.

As Associate Data Scientist, you'll develop AI / ML models utilizing system, network, audit, user logs, help desk records, and system configuration details to support proactive monitoring and effective decisions. We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you'll do: Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Designs, develops, and implements the most valuable data-driven solutions for the organization. What you'll need to succeed: An active DoD Secret security clearance or the ability to obtain one. Bachelor's Degree in Computer Science or related field 0 - 2 years of experience in open-source programming languages for large scale data analysis such as Python, R, and Scala Experience with Natural Language Processing. Experience training & deploying Deep Learning models. Proficiency in Python, Java, Scala, or C++ SALARY RANGE: $67,000 - $107,000 The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: The candidate's professional background and relevant work experience The specific responsibilities of the role and organizational needs Internal equity and alignment with current team compensation This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include: Performance-based bonuses Company-paid training and/or certifications Referral bonuses