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GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry. At GCI, we solve the hard problems. As a Data Exploiter, a typical day will include the following duties: A qualified Data Exploiter reviews, manipulates, triages, and analyzes large datasets. Candidate is responsible for supporting operational and analytical requirements. Activities include review and analysis vulnerability risk assessment within data. The individual will be expected to evaluate information in support of identifying vulnerabilities, and work with internal and external technical stakeholders to identify solutions to enrich analysis. Able to follow the entire targeting life cycle by engaging in data exploitation of requirements collection, data analysis, summary and documentation, report writing and actionable information dissemination. KEY RESPONSIBILITIES Provide data exploitation support to the customer. Use a variety of tools and methods to extract information of foreign intelligence, counterintelligence and targeting value from digital data. Create a range of products that inform operations, drive targeting and collection, contribute to intelligence products, and support multiple customer needs. Collaborate cross-functionally with data scientists, engineers, developers, targeters, and analysts. Provide recommendations for continuous improvement. Work alongside other team members to sustain and advance our organization's capabilities. Polished and professional communication, verbal and written, amongst a variety of stakeholders EDUCATION AND EXPERIENCE Bachelor's degree or equivalent combination of education, technical certifications, training, and work/military experience. REQUIRED QUALIFICATIONS Experience with technical operations, including bulk data or large datasets and associated reporting considerations Experience as a self-starter with an inquisitive disposition, juggling multiple competing priorities, and learning new technologies Prepare a range of tailored products that embody and explain findings Ability to sift through large amounts of unstructured data for key data points (i.e., metadata and artifacts) Demonstrated experience authoring and coordinating customer reports and cables. Ability to evaluate information based on quality, sensitivity, relevance and validity, and ensure stakeholders are provided with the best information, while also protecting sources and methods. Ability to interface and coordinate with customer stakeholders and partner agencies. Strong writing and communication skills. Demonstrated experience using customer tools to identify information of interest; experience drafting and disseminating customer reports on information of interest. Ability to triage, review, identify, and correlate items of interest from numerous all source datasets spanning a variety of topics Experience with technical collection abilities DESIRED QUALIFICATIONS Bachelor's degree in Computer Science, Information Technology, or other related discipline. Prior intelligence reports-writing experience with the customer and use of customer databases Experience with Technical Operations Ability to work independently with minimal supervision Salary Range: $175,000-$200,000 Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of the Blue Origin Engines business unit, where our focus is the design, development, manufacturing, and testing of engines and propulsion systems. Built for multiple uses, our family of engines is powering the next generation of rockets for commercial, civil, national security, and human spaceflight. As part of a hardworking team of specialists, you'll contribute to the development of Blue Origin's data strategy, and help design, test, and deploy standard processes for teams working on advanced data science problems. This role requires a passion for our mission and vision, and will focus on driving emerging technology and data practices to the business, specifically within the domain of generative AI applications. We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required! Safety is our utmost priority, and we are dedicated to creating a supportive environment where everyone can thrive. Join us in making space accessible and enabling millions of people to live and work in space, for the benefit of Earth. This position is open to be filled in our Kent, WA location. Become part of a team where your contributions will not only further your own career but also directly advance the frontiers of space exploration Key Responsibilities: Drive end-to-end project lifecycle for generative AI applications: develop relationships with customers, and collaborate with developers and business partners across the enterprise. Develop and implement machine learning, AI, and computer vision solutions using real-world data to solve complex problems. Own Physics-based Signal Processing Tool Development, Maintenance, and Support Write production code that implements NLP and LLM models and algorithms, ensuring high quality, scalability, and reliability. Advocate and work with partners to provide benefit of AI/ML adoption Research, identify, assess, and validate emerging technologies to increase the team's ML and AI capabilities. Own the data science, AI/ML strategy for Engines Partner with stakeholders to deliver Data Science products and collaborate with customers to understand business problems and explain technical solutions. Work in an agile environment to deliver fast-paced solutions that meet the needs of the business. Maintain technical responsibility, aid colleagues, and resolve technical issues through collaboration. Qualifications: BA/BS in computer science, information science, data science, or a related field with 8+ years of experience; 5+ years in data science, or 3+ years hands-on experience with computer vision models. Proven proficiency with Python, Spark, common data science libraries, and deep learning frameworks (e.g., PyTorch, Keras, TensorFlow, OpenCV). Experience with AWS services (e.g., SageMaker, Bedrock, EMR, S3, Step Functions, Lambda, EC2, Redshift, Glue, Batch, Elasticsearch). Solid understanding of statistical and machine learning (ML) techniques; experience with supervised, unsupervised, generative, semi-supervised, self-supervised modeling approaches. Ability to deploy solutions using tools such as GitLab, Docker, Kubernetes, and familiarity with visualization tools like Plotly/Dash, Javascript/D3/Go.js, and Streamlit. Comfortable working with both structured and unstructured data; experience with SQL, REST APIs, and custom scripting. Effective communicator capable of engaging and building trust with senior executives. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion Desired Qualifications: Masters or PhD in CS, Physics, Math, Engineering, or other STEM fields. Experience productizing vision-based models, time-series big-data processing, and applying advanced ML algorithms for anomaly detection. Familiarity with large language models (LLM), pre-training/fine-tuning techniques, and the open-source community (e.g., HuggingFace, StableDiffusion). Expertise in sophisticated model selection, hyper-parameter tuning, explainability techniques in deep learning models. Experience with fastapi/flask for model deployment and building visualizations. Track record of innovative literature research to develop novel Data Science applications. Experience with network/graph analysis, crafting visualizations, and Gurobi with LP/IP program optimization models. Compensation Range for: WA applicants is $137,049.00-$191,868.60 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification, Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results. Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "EEO Is the Law," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request. California Applicant Privacy Notice If you are a California resident, please reference the CA Applicant Privacy Notice here.

We are passionate about our business and our culture, and are seeking individuals with that same drive. Moelis & Company is a leading global independent investment bank that provides innovative strategic advice and solutions to a diverse client base, including corporations, governments and financial sponsors. The Firm assists its clients in achieving their strategic goals by offering comprehensive integrated financial advisory services across all major industry sectors. Moelis & Company's experienced professionals advise clients on their most critical decisions, including mergers and acquisitions, recapitalizations and restructurings, capital markets transactions, and other corporate finance matters. The Firm serves its clients with over 1,300 employees based in 23 offices in North and South America, Europe, the Middle East, Asia and Australia. The ideal candidate will have strong attention to detail, excellent organization skills and experience working in a fast-paced environment within the financial services sector. This role will be responsible for the data intake and ensuring the quality / integrity of our CRM data which is critical to our investment banking operations. Data Entry / Data Steward Analyst- Business Management Read, interpret, and abstract key information from emails and documents, ensuring that essential details are captured and accurately reflected in CRM database. Perform data quality assessments and regular data cleansing activities including merging duplicate contacts, researching company information, standardizing data, and ensuring that the necessary data fields are populated according to firm standards. Identify and resolve data-related issues and discrepancies. Research internal and external sources to update records and/or complete inaccurate or missing information. Develop data intake and tracking processes, determining the best methods for collecting data. Work closely with cross-functional teams to align data management efforts with business needs. Manage "one time" or special initiative data entry projects. Data reconciliation between various proprietary or third-party systems. Willingness to learn and quickly adapt to organizational structure, culture and changing business needs. Capable of working in high pressure environment. Collaborative, resourceful, and driven with a genuine desire to ensure team success. Develop strong working relationships with various teams across the firm. Teamwork - ability to collaborate in a professional and constructive manner. Strong work-ethic with ability to perform with minimal manager direction, take ownership and work independently. Knowledge of Salesforce CRM. Pro-active approach to accuracy and attention to details. Detail oriented and highly organized. Analytical skills with the ability to dig in. Ability to meet deadlines and respond to requests in a timely manner. Strong written and verbal communication skills. Strong knowledge of all MS Office Applications and Excel skills. Qualifications Bachelor's degree in Business Administration in Finance, Information Technology or related field preferred 6 months - 3 years years of relevant experience in data management; preferably within investment banking or financial services industry Expected Salary Range: $75,000 - $80,000 We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training. We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training.

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

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

Attentive is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate. With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram. Attentive's growth has been recognized by Deloitte's Fast 500, Linkedin's Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees! About the Role Our Data Science team is a world-class data, applied science, and ML organization that leads data-driven decision-making and the conversational AI efforts for the entire company. Joining our team offers a high-growth career opportunity to work with some of the world's most talented data scientists in a high-performance and high-impact culture. As a Data Scientist on our AI team, you will play a crucial role in transforming data into actionable insights and models for our AI product offerings. We are looking for an experienced scientist who relishes the opportunity to develop novel approaches and apply them at Attentive's scale. Your contributions will directly influence the development of cutting-edge ML solutions, empowering our team to craft highly effective messaging strategies. What You'll Accomplish Lead the development of statistical, econometric, optimization, and machine learning models for a range of applications in our messaging and AI product offerings Design and execute experiments, interpret results, and draw actionable conclusions Use data to understand product performance, identify improvement opportunities, and define product/team roadmaps Present findings to senior leadership to inform and influence business decisions Collaborate with cross-functional teams across product, engineering, client services, and sales to drive business value from ideation to production Your Expertise Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics Knowledge of experimental design and analysis Experience with exploratory data analysis, statistical analysis and testing, and model development Ability to use Python to work efficiently at scale with large data sets Advanced proficiency in SQL Nice to Haves 2+ years of industry experience as an Applied or Data Scientist or equivalent Familiarity with advanced statistical inference, experimentation, and causal inference methods Econometric experience with pricing and promotion optimization Expertise in customer lifetime value modeling Experience in personalization systems and cross-sectional cohort modeling Background in operations research (e.g., scheduling or assignment problems) Knowledge of advanced topics in XGBoost modeling You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $200,000 - $260,000 annually + equity + benefits Equity is a substantial part of the total compensation package Our salary ranges are determined by role, level and location #LI-EF1 Attentive Company Values Default to Action- Move swiftly and with purpose Be One Unstoppable Team- Rally as each other's champions Champion the Customer- Our success is defined by our customers' success Act Like an Owner- Take responsibility for Attentive's success Learn more about AWAKE, Attentive's collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

Job Req ID: 26969 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro IT is seeking a Sr. Data Center Solution Engineer to lead the design, development, and implementation of air-cooled and liquid-cooled data center solutions. The ideal candidate will bring deep technical expertise in mechanical and electrical infrastructure, rack power systems, structured cabling, and vendor engagement to deliver high-performance, scalable, and resilient infrastructure solutions. This role plays a critical part in supporting disaster recovery infrastructure, optimizing energy efficiency, and upholding our operational standards through structured documentation and strategic planning. Essential Duties and Responsibilities: Lead end-to-end design and deployment of air-cooled and liquid-cooled data centers, including power, cooling, and rack integration. Lead efforts for data center sourcing, site selection, and partner evaluation including site walk-throughs, design feasibility, and build cost estimates. Perform data center rack-level power and thermal load calculations; determine PDU configurations, circuit capacity, voltage selection (208V, 400/480V), and phase balancing (2-phase/3-phase). Develop and maintain data center mechanical and electrical (M&E) infrastructure drawings, including line diagrams for UPS, generator backup, and power switching logic. Support and optimize DCIM platforms for visibility into real-time environmental monitoring, asset management, and power utilization. Define and enforce data center SOPs, build standards, structured cabling guidelines, and rack & stack best practices. Act as a subject matter expert in disaster recovery site infrastructure design - ensuring business continuity and site redundancy. Analyze and report on data center facility SLAs, power usage effectiveness (PUE), capacity planning, and environmental metrics. Collaborate with facilities and IT teams for ongoing M&E maintenance, retrofits, and root cause analysis of infrastructure issues. Oversee vendor and partner engagement, including negotiation of Master Service Agreements (MSAs), NDAs, and contracts with structured cabling, mechanical, and electrical vendors. Participate in liquid cooling system design, including cold plate or immersion cooling solutions for GPU/AI workloads. Provide strategic infrastructure consultation to internal project teams and business units for new builds, migrations, and hybrid deployments. Assist in managing access network hardware and connectivity for internal systems. Good understanding of IT Operations and interconnectivity solutions including Network, Systems. Understanding of electrical infrastructure redundancy (e.g., A/B power, UPS, PDU) and failover systems Exposure to mechanical systems such as CRAC, CRAH, and cooling containment Familiarity with green energy or sustainable data center practices. Background in data center compliance frameworks (SOC 2, ISO 27001, etc.) Qualifications: Bachelor's degree or equivalent professional experience. 8+ years of hands-on experience in data center engineering, build design, or facility operations. Proven expertise in air-cooled and liquid-cooled environments, including high-density rack integration. Strong knowledge of power systems (PDUs, breakers, transformers) and facility distribution voltage (208V, 408V/480V). Familiarity with Uptime Tier Standards, and electrical code compliance. Experience in vendor management, partner evaluation, and contract negotiation. Proficiency in reading and generating M&E drawings, rack elevations, structured cabling maps, and capacity layouts. Experience with tools like AutoCAD, Visio, and DCIM platforms. Strong analytical, documentation, and cross-functional communication skills. Salary Range $100,000 - $150,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. EEO Statement Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status. Job Segment: Thermal Engineering, Database, Data Center, Cloud, Environmental Engineering, Engineering, Technology

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month-a number that's growing rapidly for one simple reason: everyone can be curious. We are hiring for an experienced Data Scientist to accelerate our growth marketing efforts and help Perplexity expend its reach globally. You'll work closely with our Growth, Marketing, Product, Enterprise and Partnership functions, using data-driven insights to optimize marketing strategies across paid acquisition, social media, brand initiatives, promotional campaigns, and consumer partnerships. This role offers the chance to significantly influence how our marketing strategies evolve and scale in a dynamic startup environment. Responsibilities Collaborate closely with Growth, Marketing, Product Marketing, and Enterprise Growth teams to provide data-driven insights and recommendations Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization and growth Conduct analysis on social media performance and marketing spend to maximize reach, engagement and effectiveness Lead lightweight user research and apply insights to refine market targeting and user segmentation strategies Design, implement, and interpret A/B tests to continuously enhance marketing performance and effectiveness Define, implement, and visualize key marketing metrics, creating dashboards to track and communicate marketing effectiveness and ROI Develop data models and pipelines to improve analytics efficiency and data accessibility Qualifications Have 4+ years of experience working as a data scientist or related role Have experience with the following areas: product marketing, paid acquisition, SEO, social and/or lifecycle marketing Are proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker) Have experience designing, implementing, and analyzing A/B tests Take ownership and are a self-started who thrives with open-ended problems Have experience with data modeling (e.g., dbt, Airflow) Preferred Qualifications Previous experience at a high-growth startup or early-stage growth/marketing data science role Hands on-experience with dbt and data engineering/analytics engineering Experience with Snowflake Comfortable with Python for data analysis Machine learning experience The cash compensation range for this role is $200,000 - $270,000 Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Who we are EvolutionaryScale's mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community. Over the next ten years AI will transform biological design, making molecules and entire cells programmable. We will develop the foundation models for biology that enable this. The EvolutionaryScale team is based in San Francisco and New York. We believe in flexibility around work schedules and locations, but expect that our team members will work half of the days or more of most weeks from one of our offices. What you'll do As a Data Infrastructure Engineer, you will work closely with bioinformatics and research teams to ensure our data jobs are reliable, efficient, and scalable. You'll implement best practices for handling large-scale data processing, select and integrate the right technologies, and drive continuous improvements in performance and quality of our data sets. The role Design, develop, and maintain large-scale batch processing pipelines using tools like Spark and Ray, for acquiring biology datasets. Manage data infrastructure components to ensure robust and fault-tolerant operations. Optimize data ingestion, storage, and retrieval processes for acquiring large and growing biology datasets, and for efficient pre and post training data ingestion. Create systems for easy and reproducible data evaluation and experiments. Integrate modern ML based data curation technologies with data processing pipelines. Work with researchers and other engineering teams to understand data needs, create solutions that meet modeling requirements. Preferred qualifications Apply even if you don't meet all of these! Staff level engineers with 5+ years experience highly preferred Proven experience with large-scale data processing systems using technologies such as Hadoop, Spark, or Ray. Knowledge of streaming data frameworks like Kafka Streams, Spark Streaming, or Flink. Understanding of data processing principles and best practices. Strong problem-solving skills, including the ability to research, debug, and resolve complex technical problems. Experience with major cloud providers (AWS, GCP, or Azure), including familiarity with data warehousing tools is a plus. Knowledge of biology and biology datasets is a big plus but not required. Experience with large scale distributed systems or machine learning is also not required but a plus.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About The Team CoverMyMeds is a leading healthcare organization committed to the ethical and responsible use of data. We pride ourselves on ensuring that we utilize data in accordance with data protection regulations, privacy policies, and industry best practices. We are currently seeking an experienced and knowledgeable Master Data Management Analyst to join our team and provide expert support for the implementation and development of the CoverMyMeds data quality management program. You will be part of the Data Governance team, working closely with data engineers, analysts, and business stakeholders to ensure data integrity and consistency across the enterprise. What You'll Do As a Master Data Management Analyst, your daily to-dos will shift with business needs, but here's a snapshot of what to expect: Collaborate with business and technology stakeholders to understand and capture data requirements, ensuring master data meets user and system needs. Lead and support the design, development, and enrichment of master data domains to ensure consistency and accuracy. Oversee governance policies and standards for master data creation, maintenance, and quality. Develop training materials and provide training to business users about MDM processes, tools, and standards. Manage relationships with internal stakeholders and partners. Regularly assess the MDM processes, tools, and policies and recommend improvements. Ensure that master data management processes are compliant with relevant regulations and that data is securely handled. Candidate must be based in the metropolitan area of our hub city Columbus, OH. Position will primarily allow for remote working We are unable to provide sponsorship now or in the future for this position Minimum Qualifications: Degree or equivalent and typically requires 4+ years of relevant experience Education: Bachelor's degree in engineering, science, or computer science or other data related field Master's degree in a related field preferred Critical Skills: Minimum of 3 years in a role related to data management or master data management with a demonstrated track record with MDM tools (Ataccama) and initiatives. 4+ years' experience with and strong understanding of MDM concepts, data architectures, database management systems, and ETL processes. 4+ years' experience with databases like Databricks, SQL Server, Snowflake, etc. and advanced proficiency in SQL. Ability to design, implement, enrich and maintain master data models that can scale and accommodate a variety of data types. Ability to identify, rectify, and prevent data quality issues, analyze complex data sets, and derive insights. Knowledge of techniques to integrate data from various sources and ensure a single version of truth. Excellent written and verbal communication skills, with the ability to translate complex technical topics for a non-technical audience. Preferred Skills Experience with Ataccama. Certification(s) in Master Data Management or Data Governance. Experience in leading cross-functional projects and managing timelines, resources, and stakeholders. Grasp of organizational business processes to understand how data flows and how it can be optimized. Familiarity with industry-specific regulations related to data (e.g., GDPR, HIPAA). Understanding of data privacy frameworks and risk management practices. Familiarity with cloud-based MDM solutions and integrations. Experience with data cataloging tools such as Alation or Collibra. Familiarity with scripting languages such as Python or R. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $87,000 - $145,000 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

Why it's worth it Join ReliaQuest, a global leader in enterprise cybersecurity technology, where you'll be at the forefront of developing cutting-edge AI and ML solutions for our GreyMatter platform. You'll work with state-of-the-art technologies including: Large Language Models (LLMs) and Generative AI Autonomous AI Agents for security operations Knowledge Graphs for enhanced threat detection Cloud-native architecture and advanced ML systems We're not just following AI trends - we're setting them. Our GreyMatter platform combines traditional ML with next-generation AI capabilities to revolutionize security operations. The everyday hustle As a Data Scientist at ReliaQuest, you'll be: Developing and implementing advanced machine learning models, with a special focus on LLMs and GenAI Working on autonomous AI agents that enhance our security operations capabilities Integrate AI agents with traditional ML systems Creating and maintaining knowledge graphs for improved threat detection and response Collaborating with cross-functional teams to integrate AI/ML solutions into our GreyMatter platform Analyzing complex security data to identify patterns and anomalies Participating in the full ML lifecycle from research to production deployment Do you have what it takes? Mid Level 3-5 years of experience in applied data science Strong experience with machine learning model development and deployment Hands-on experience with deep learning frameworks and LLMs Experience with cloud computing platforms (AWS/Azure/GCP) Track record of successfully deployed ML models in production Understanding of AI/ML security considerations Senior Level 6+ years of experience in data science with focus on production ML systems Extensive experience training and deploying LLMs and GenAI solutions Proven track record of leading complex AI/ML projects Experience integrating AI agents with traditional ML systems Expertise in knowledge graph technologies and applications Strong background in production ML architecture and MLOps Experience mentoring junior data scientists What makes you uncommon? Mid Level Experience with LLM fine-tuning and prompt engineering Knowledge of graph databases and knowledge graph construction Experience with ML model monitoring and maintenance Understanding of AI agents and their applications Background in cybersecurity or security analytics Senior Level Deep expertise in LLM architectures and training methodologies Experience building and deploying autonomous AI agents Advanced knowledge graph development and implementation experience Expertise in combining traditional ML with GenAI solutions Track record of innovative AI/ML solutions in production Experience with large-scale ML systems architecture Research publications or patents in ML/AI

Company Description PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success. Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood. Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. Dare to innovate: We challenge the status quo with creativity and innovation as our true north. Better together: We check our egos at the door. We work together, so we win together. The Data Engineer III will design, develop, and support solutions to transport, store, and analyze data for our Unified Data Platform and multiple On-Prem data marts using Azure, Azure Databricks, and On Premises SQL Server extracting data from our source systems. Analyze, design, architect, develop and test software systems that simulate business processes and can be used to optimize and increase their efficiency, using various computer languages and Windows based platforms. Gather customer requirements and create high-level component level architecture and confer with personnel of organizational units involved to analyze current operational procedures, identify problems, oversee specific input, and output requirements. Format reports, write detailed description of user needs, program functions, and steps required to develop or modify computer programs. Review computer system capabilities, workflow, and schedule limitations to determine if requested program or program change is possible within existing system. Serve as key member in evolving and maturing our enterprise data strategy and capabilities at Press Ganey. Technical Skills: 2+ years experience with Azure data technologies (Databricks, Data Factory, Stream Analytics, Data Lake Storage, Synapse), on-premises Microsoft tools (SQL DB and SSIS) 1+ years experience with SQL, Python, PySpark. Experience in Apache Spark 1+ years experience with C#, PowerShell, and APIs 2+ years experience with analytical solutions in relational databases such as MS SQL Server, Oracle, and DB2. Experience with NoSQL databases and solutions such as data lakes, document-oriented databases, and graph databases a plus Experience in data modeling Experience with Azure DevOps and GitLab Proficient in creating CI/CD pipelines to track version changes, branch deployment Proficient in integrating automatic unit tests into CI/CD process Experience with developing automated job schedules using tools such as Tidal Familiarity with data visualization tools such as Power BI Minimum Requirements: Bachelor's degree in Computer Science, Management Information Systems, or related field Minimum of 3 years Data Engineering experience in an enterprise environment Excellent communication and collaboration skills Strong analytical and problem-solving abilities Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At PG Forsta we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Additional Information for US based jobs: Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class. Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. The expected base salary for this position ranges from $ 81,000 to $120,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results. All your information will be kept confidential according to EEO guidelines. Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/

Learn what makes QTS a unique place to grow your career! The Development Project Manager is primarily responsible for leading and managing the design, preconstruction and construction activities on a given data center construction project(s). The Project Manager will interact on a daily basis with Facilities, Contractors, Designers, Engineers, Commissioning Agents, Vendors, and Data Center Operations staff and should have both written and oral communication skills commensurate with this level of regular communication. ESSENTIAL DUTIES AND RESPONSIBILITIES includes the following. Other duties may be assigned. Manage multiple projects on a campus(es) and maintain updated budgets, schedules, and status reports for each Create and communicate updates on development program & project status on a monthly basis suitable for executive level reviews. Effectively present information in a manner to support efficient decision making Work with QTS stakeholders, design, and construction teams to create a master development program for site(s), including a complete campus design solution and capital budget. Manage entitlement and permitting needs for each assigned site project(s) Implement and manage multi-phased site development plans to achieve time, budget, and quality standards in a predictable fashion. Continuously update a campus master plan to provide predictable statistics in a dynamic environment Write scopes of work for design, construction, commissioning services & participate in procurement and project cost estimates Evaluate and level pricing proposals for design, construction, and commissioning services Work closely with strategic procurement team on equipment procurement and delivery process Ensure appropriate submittals are coordinated with site stakeholders Monitor & create project budget / cost-to-date against overall project budget. Establish project schedules and manage teams to on-time completion Review and approve monthly pay applications from the contractors Review change order requests from contractors and negotiate pricing Establish site construction security procedures in conjunction with site security team Develop plans for product deployment and review / communicate plans with QTS staff involved Collaborate with Sales Engineers and Product teams to aid in custom deal solutioning for prospective clients within the applicable schedule and budget for an assigned location. Establish and maintain relationships serving as liaison with key QTS stakeholders Represent QTS Interests as leader in OAC meetings Create & build relationships that enhance QTS's ability to be a leader in creating the World's Most Valuable Data Center Real Estate Aid in due diligence efforts for potential new sites on an as-needed basis Work with the internal development team to enhance project management processes and protocols BASIC QUALIFICATIONS Bachelor's degree in Science or Engineering or equivalent professional experience Five or more years of professional experience in commercial construction practices and procedures, including management of Lump Sum, Construction Management @ Risk, and Design Build project delivery methods from conceptual development through procurement to close out Experience with Microsoft Office suite, specifically PowerPoint for use in communicating program updates to executive level, and Excel to create and maintain site program & individual project budgets Be able to travel up to 50% of the time PREFERRED QUALIFICATIONS MBA, Masters in Engineering, Management, or related field desirable Experience with delivery of mission critical data center facilities Extensive experience with management of MEP trades TOTAL REWARDS This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending and HSA accounts; paid holidays; paid time off; paid volunteer days; employee assistance program; tuition assistance; parental leave; military leave assistance; QTS scholarship for dependents; wellness program, and other company benefits. This position is Bonus eligible. We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim. The "Know Your Rights" Poster is included here: Know Your Rights (English) Know Your Rights (Spanish) The pay transparency policy is available here: Pay Transparency Nondiscrimination Poster-Formatted QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.

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

PHMC is proud to be a leader in public health. PHMC requires all employees to be fully vaccinated for COVID-19 before the first day of employment. We will offer the vaccination at no cost via our Health Centers. SUBSIDIARY: Turning Points for Children (TPFC) DIVISION: Family Support Services SUBSIDIARY OVERVIEW: Turning Points for Children is one of the largest social service agencies in Philadelphia, supporting the needs of more than 10,000 men, women, and children throughout the city. We offer programs that help families in raising safe, healthy, educated, and strong children by partnering with caregivers to develop and strengthen protective qualities and by offering them the tools, skills, and resources needed to ensure their children's optimal development. JOB OVERVIEW: Turning Points is currently seeking a full-time Data Coordinator for the Family Support Services division, which includes Project FAM, the Food & Wellness Network (FAWN), and the Family Finding program. The Data Coordinator is primarily responsible for the monitoring and quality assurance of data entry and reporting within all program databases for all programs within the Family Support Services division. The Data Coordinator will also be responsible for compiling and documenting resources that will benefit the program and creating analysis on accessibility, usage, and effectiveness. The Data Coordinator will also develop processes and procedures to ensure program compliance. The Data Coordinator reports directly to the Divisional Director. RESPONSIBILITIES: Under the direction of the Program Director, the Family Support Services Data Coordinator will: Serve as the primary data contact (Data Coordinator) with the School District of Philadelphia and the PA Department of Education for student records and documentation for the ELECT Program Retrieve, maintain, and upload required documentation for ELECT student enrollment in the program Support the monitoring of the DECO and CSC data management system with the goal of delivering complete and accurate data entry for ELECT students Input and collect all client data in Apricot for all programs Implement data requirements and ensure that timely and accurate data entry is maintained for all programs within the Family Support Services Division Provide all staff with account access to required databases to perform duties Collaborate with program staff to ensure adherence to weekly, monthly, quarterly & yearly data requirements for all programs Run compliance and billing reports as needed Prepare all monthly reports and submit to the Program Director for review and analysis Develop effective and innovative systems and processes for effective data management across all programs Conduct data-specific training for all program staff members and the onboarding of new staff and interns Support all administrative tasks upon request (program invoices, referrals, etc.) SKILLS: Excellent verbal and written communication skills Excellent quantitative and analytical skills Excellent computer proficiency, including knowledge of Microsoft applications such as Word, Outlook, and Excel Solid knowledge of the ELECT program policies and procedures, primarily relating to service delivery and data reporting requirements OTHER SKILLS & BEHAVIORS: Commitment- Committed to the success of Turning Points for Children. Dependable; keeps commitments to families, community partners, supervisor, staff, and colleagues, including timely and regular program attendance and responding to communications; is resourceful in working to find new ways to help; focuses on what it takes to get the job done. Persists in the face of obstacles to reach objectives. Culturally Competent- Has a comprehensive understanding of the dynamics of ethnic and cultural differences and the role they play in individual, family, and community functioning; demonstrates sensitivity to cultural and socioeconomic characteristics. Problem Solving- Diagnoses underlying or hidden problems and develops logical solutions. Work Under Pressure- Responds positively to frequent and/or tight deadlines; maintains composure under stressful situations. Relationship Building- Establishes smooth and cooperative working relationships with diverse families, colleagues, and external contacts, demonstrating sensitivity to cultural and socioeconomic characteristics; provides information and assistance to all and uses diplomacy and tact, especially during tense or stressful situations. Communication- Creates an atmosphere where an exchange of ideas and opinions is encouraged; actively listens to others; speaks clearly and effectively when sharing information with others; prepares written materials clearly and concisely. Teamwork- Ability to work in a team; promotes open communication for self and others; facilitates sessions to ensure group participation and desired results. Conflict Management- Negotiates with others to resolve conflicts or disputes; helps others find a common ground to resolve their conflict; establishes an atmosphere where others feel comfortable bringing disagreements into the open. Continuous Learning- Continually upgrades knowledge and skills; open to new ideas, methods, and program developments; willing to take on new assignments as needed to ensure program success and to advance the agency's vision, mission, and goals. Professional- Establishes relationships that are ethical, client-oriented, and not self-interested; maintains appropriate appearance and behavior; interacts respectfully with all families and colleagues; conducts employment relations in accordance with the Employee Handbook. Establishes professional boundaries with youth and families. QUALIFICATIONS: Education Bachelor's degree required Experience Experience with data entry, quality assurance, and program evaluation, preferably in a nonprofit setting Preferred: Experience working with underserved youth/experience in an ELECT program CLEARANCES: Current Pennsylvania child abuse history clearance, criminal history check, and FBI clearance PAY GRADE: 15 PHMC is an Equal Opportunity and E-Verify Employer.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates extensive abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Lead the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using GCP services; Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within GCP; Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using GCP; Optimize Cloud resources for cost, performance, and scalability; Possess strong proficiency in SQL and experience with relational databases; Demonstrate familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Possess proven analytical, problem-solving, and communication skill; and, Work independently and as part of a team in a fast-paced environment. Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Title: Geophysical Data Analyst (USNDC) BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all share one goal: to improve the world responsibly and safely. The Air Force Technical Applications Center (AFTAC), Systems Development Directorate (AFTAC/SD), located at Patrick Space Force Base, FL, plans, manages, and coordinates research and development and sustainment for all subsurface and near surface areas (seismic, hydroacoustic, and infrasonic) of the United States Atomic Energy Detection System (USAEDS) and United States National Data Center (USNDC) used in monitoring nuclear test ban treaties. The Directorate plans, organizes, coordinates, and directs mission-area research, design, and development. The Geophysical Data Analyst (USNDC) will provide subject matter expertise in seismic and infrasonic data analysis support to USNDC and AFTAC/SD research projects, providing seismic research analysis of special data sets for incorporation into AFTAC/SD databases for use in SD research initiatives. Must be a US Citizen* Must have a fully adjudicated (not an interim) Top Secret clearance with SCI eligibility* Relocation assistance may be available for qualified candidates. RESPONSIBILITIES: Provide expert testing of the analysis tools after modification of software. Provide detailed testing results to development teams. Provide expert seismic analysis of data for station tuning studies to serve as "ground truth" for automated processing measurement. Providing seismic, infrasonic, and hydroacoustic data analyst support. Analyze regional and teleseismic data from the USAEDS. Reading arrival times of seismic phases. Measuring amplitudes, locating epicenters, Beam Formation, Signal Detection, Signal Characterization, and applying discriminants to signals. Prepare Trip Reports and Pre-Period Plan Report. Prepare and present briefings. EDUCATION: Bachelor's degree or an Air Force Scientific Applications Specialist Associate's degree or equivalent and documented experience specific to the defined responsibilities. CERTIFICATIONS: Special Event Analysis Tools (SEAtools). REQUIRED SKILLS AND EXPERIENCE: Minimum of 10 years of relevant experience performing tasks similar to those above. Familiar with data acquisition formats including: Conference on Disarmaments (CD) 1.1, Center for Seismic Studies (CSS), Standard for Exchange of Earthquake Data (SEED), mini-SEED, Society for Exploration Geophysics (SEG)-Y, Seismic Analysis Code (SAC), Acquisition and Viewing Executive (XAVE), Visual Trace Analyzer (VIXTA), GSE Open Station software, Data Collection Center (DCC). Basic understanding of the processes that lead to seismic event formation and classification; disciplines required to develop seismic analyst procedures and training. General experience using Microsoft Office products including Excel, Power Point, and Word. Strong interpersonal and communication skills necessary to communicate with executives. Experience working within a government Sensitive Compartmented Information Facility (SCIF). Experience deriving and marking classified documents according to the National Industrial Security Program (NISPOM) and security classification guides. DESIRED SKILLS: Experience using Microsoft SharePoint. AFTAC experience. KBR BENEFITS KBR offers a wide range of benefits for their employees; we offer medical, prescription, dental, vision, AD&D, disability benefits, retirement 401k, travel benefits, PTO, holidays, flexible work schedules, parental leave, military leave, education assistance, and the list goes on and on! We also support career advancement through professional training and development. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

About the team: Capco's Data Team helps our clients transform every aspect of their business. We are highly skilled at formulating data strategy, defining business and technology initiatives across the data management lifecycle, and aligning multi-year strategic roadmaps with client's business goals. As digital technologies advance and regulations tighten, today's consumers - and, therefore, today's businesses - are becoming more aware of the importance of good quality data. We work to establish holistic ways to effectively manage data through the modern data supply chain and facilitate consumption through analytics, modelling, AI, machine learning, dashboarding, and reporting. About the Job: We are seeking a highly skilled and experienced Principal Consultant to join our Data Architecture and Engineering team. This role is pivotal in shaping our data strategy, leading complex projects, and driving business growth through effective data solutions and client engagement. What You'll Get to Do: Leadership: Lead and mentor a team of data architects and engineers, fostering a culture of excellence and continuous improvement. Data Strategy: Develop and implement comprehensive data architecture strategies that align with business objectives and industry best practices. Project Management: Oversee the design, development, and deployment of data solutions, ensuring timely delivery and high-quality outcomes. Client Engagement: Build and maintain strong relationships with clients, understanding their needs and providing tailored data solutions. Innovation: Stay abreast of emerging technologies and trends in data architecture and engineering, driving innovation within the team and organization. Compliance: Ensure all data solutions adhere to regulatory requirements and industry standards. What you'll bring with You: 7+ Years of experience working as a solution architect in the data space 5+ Years of experience in Financial Services Experience partnering with CDO/CDAO in helping shape their data strategy Experience building business case for Cloud migration/modernization Must have presented at industry conferences and or published whitepapers Expertise in defining, architecting, and delivering data and analytics solutions on AWS, GCP, or Azure cloud, as well as experience with Snowflake or Databricks platforms, and other related platforms and services Extensive depth in Data Lake and Lakehouse implementations and architecting data flows Experience developing and deploying solutions with infrastructure as code, following best practices and integrating with robust CI / CD pipelines Experience with hybrid cloud systems, integrating on premise resources and cloud platforms Management Consulting experience is a plus Why Capco? A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation. We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering. Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business. We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW. We offer highly competitive benefits, including medical, dental and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees. Ready to take the Next Step If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. US Pay Range $168,000-$192,000 USD

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior 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. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 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: $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