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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

At AIG, we are reimagining the way we help customers to manage risk. Join us as a Assistant Vice President, Business Data Analysis to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team. Make Your Mark: General Insurance is a leading provider of insurance products and services - focused on helping to manage risk for commercial and personal customers. We offer a broad range of products through a diversified, multi-channel distribution network, including one of the world's most far-reaching property casualty networks. The Data Office supports the overall General Insurance product by managing Data, Data Governance, and the presentation of the data (Business Intelligence Delivery). How you will create an impact: AIG is looking for a driven individual to assume a critical role within the Data Office. This role will be responsible for working directly with leaders within Commercial Lines functional areas ensuring an understanding of data and analytics needs and priorities. In addition, this role will have Global Data Warehouse Product Ownership responsibilities ensuring execution is aligned to the highest business priorities and Data Office strategy and that sunset opportunities are being realized. What we're looking for: Proven experience partnering with business stakeholders to drive data and analytics transformation initiatives Strategic thinker with problem-solving skills, and innovative rigor Thought leader - ability to define the data and analytic needs of key partners based on business outcomes and align work to strategic data and analytic plans Strong business acumen and understanding of P&C insurance metrics and financials Strong organizational skills including proven ability to drive medium to large projects/programs of work Ability to consult and interact effectively with all levels of the organization and develop strong business partnerships Working knowledge of data management, business intelligence, and data warehousing. Ability to understand the long-term ("big picture") and short-term perspectives of situations. Strong execution and analytical skills Ability to lead a team effectively without organizational alignment Strong program and project management skills Strong knowledge of Agile methodology Ability to work effectively in a fast-paced environment and with changing priorities 10+ years of business intelligence and/or analytical experience in commercial insurance preferred. Degree from a four-year college or university, MS is preferred. Strong problem-solving ability - candidate needs to exhibit structured thinking, attention to details, and analytical skills and process orientations. Understanding of programming and statistical tools. Advanced understanding of P&C Insurance industry Highly motivated, positive, and collaborative attitude, team player with strong communication skills. Ready to find new solutions? We would love to hear from you. #LI-CM1 #businessintelligence #informationtechnology #AIG #hiring At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com. Functional Area: DT - Data National Union Fire Insurance Company of Pittsburgh, Pa.

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

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

Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens-platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured-in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand-including many of the world's largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! Software Engineer - Data The Software Engineer role provides a unique opportunity to work across engineering, data science, and security research functions of our growing business. You will be part of a highly visible, agile team working on critical areas that directly affect the company's success. The role: Obsidian is seeking a detail-oriented Software Engineer to build out high-quality data products. The ideal candidate will: Have a blend of engineering and data analysis acumen. Bring a high level of curiosity to wildly heterogeneous, semi-structured data. Rapidly learn and apply cybersecurity concepts. What You'll Do: Participate in the engineering life cycle at Obsidian, with the primary responsibility of building data abstractions and data transformations that are at the core of our product. You will write high-quality production code. Develop and maintain flexible batch and real-time analytical pipelines that feed ML-based threat detection models. What's in it for you: Work for an innovative startup, working on data products that solve hard problems. Our founders have a successful industry track record of innovation and product delivery. You will be a key member of our engineering and data teams, working alongside people with vast experience in both industry and academia. You will tackle a wide array of critical data analytics powering the product. You will gain exposure to and expertise in various data engineering and cloud technologies. Required skills/experience: You are an analytically inclined engineer who loves solving complex problems using data. You possess strong algorithmic skills. Have demonstrated experience working with data processing systems. Extensive experience with Python and SQL is required. Experience with dbt, Spark, or DuckDB is a strong plus. BS/MS Computer Science or a highly quantitative discipline. 1-2 years of industry experience building high-quality data products is a must. This is a hybrid position at Obsidian's Newport Beach, CA, office. Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for incentive compensation based on factors such as experience, skills, and location. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range $120,000-$162,000 USD

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often-that's what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at-all from Day One. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals-no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we're building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. Job Description We are seeking a seasoned and strategic Product Analytics Manager with 14+ years of experience to lead our product analytics vision and execution. This is a high-impact leadership role focused on building a strong analytics foundation-ensuring data is accurately captured, translated into meaningful insights, and used to drive smarter product decisions and business growth. Good understanding of customer and product journey's related insights. You'll work closely with product, engineering, and executive stakeholders to align on measurement strategy, surface actionable insights, and directly influence product roadmaps and customer experience improvements. Key Responsibilities: Strategic Analytics Leadership Define and drive the product analytics strategy aligned with long-term product and business objectives. Serve as a trusted advisor to product and executive leadership, enabling data-informed decisions. Data Instrumentation Lead cross-functional efforts to implement and maintain scalable, reliable event tracking across digital products. Establish taxonomy, event design, and governance best practices across teams. Insights & Product Impact Translate behavioral and performance data into clear, actionable insights that inform product priorities and design decisions. Identify user patterns, feature adoption trends, and friction points to optimize engagement and retention. Experimentation & Optimization Monitor post-launch performance and continuously refine measurement strategies. Reporting & Visualization Create dashboards and executive-level reports that distill complex data into clear, strategic narratives. Present key insights to cross-functional stakeholders and executive teams. Cross-Functional Partnership Collaborate with product managers, designers, engineers, and growth teams to embed data into everyday decision-making. Mentor team members and help cultivate a data-driven product culture. Highly Preferred Qualifications: 14+ years of experience in product analytics, data strategy, or digital product leadership roles. MBA from a reputed business school, with focus on product, analytics, or strategic decision-making. Technical schooling from a top-tier university (e.g., Data Engineering & Science, preferably Master ). Advanced SQL proficiency and hands-on experience with analytics tools such as Power BI Demonstrated success leading instrumentation, defining KPIs, and generating insights that influence product direction. Deep understanding of product engagement metrics, funnel analysis, retention cohorts, and user journey optimization. Experience influencing C-level stakeholders and leading cross-functional alignment through data. Prior success in high-growth, product-centric environments. What You'll Gain: A leadership role at the intersection of data, product, and strategy. Influence over product evolution, customer engagement, and business outcomes. The opportunity to define and scale a world-class product analytics foundation. Basic Qualifications Master's degree in data and technology management, or equivalent work experience Ten or more years of experience in data management and business intelligence in the financial services industry If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $139,230.00 - $163,800.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

Job Description: We are seeking a highly skilled and visionary Director of Data Platforms and Architecture to lead the design, development, and governance of our enterprise-wide Snacking data platform ecosystem. This individual will be responsible for driving platform strategy, fostering innovation, and ensuring robust data architecture that empower multiple products and capabilities to power business decisions, scalability, and operational excellence. As a strategic leader, the Director of Data Platforms and Architecture will oversee the implementation and optimization of cutting-edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term vision for enterprise data platforms and architecture, ensuring alignment with organizational goals and priorities. Collaborate with C-level executives and business leaders to identify opportunities for leveraging data as a strategic asset. Data Platform Oversight: Oversee the design, implementation, and maintenance of modern data platforms, including cloud-native solutions, data lakes, data warehouses, and real-time processing systems. Ensure scalability, reliability, and high availability of the data ecosystem to support growing business needs. Architecture Design: Define and implement enterprise data architecture standards, including data modeling, integration, and API frameworks. Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure-by-design data architectures that protect sensitive information and mitigate risks. Team Management: Lead and mentor a team of data architects, platform engineers, and data governance professionals. Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality data for decision-making. What are we looking for? Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field. 10+ years of experience in data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. The base pay range for this position at commencement of employment is expected to be between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to, market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, if eligible, including variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Eligibility for these additional elements depend on the position offered and the employee's work schedule (i.e., part-time schedule, store associate). Details of participation in these benefit plans will be provided if an applicant receives an offer of employment. $190,608 - $230,000 + 20% bonus #TBDDT

Our Company Oaktree is a leader among global investment managers specializing in alternative investments, with about $200 billion in assets under management. The firm emphasizes an opportunistic, value-oriented and risk-controlled approach to investments in credit, private equity, real assets and listed equities. The firm has over 1200 employees and offices in 24 cities worldwide. We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture. For additional information please visit our website at www.oaktreecapital.com Responsibilities As a Senior Data Architect at Oaktree, you will be a key contributor to the design, development, and implementation of our data architecture, ensuring alignment with Oaktree's strategic objectives. You will provide technical leadership and subject matter expertise on data architecture best practices, collaborating closely with stakeholders across various teams. Responsibilities include: Present technology architecture and solution overviews to executive-level audiences. Conduct assessments and define enterprise roadmaps for enabling a data-driven Analytics organization. Provide thought leadership around modern analytics tools and platforms for mid-sized companies to Fortune 500s. Participate in the development of Database Architecture and Roadmaps in support of business strategies. Develop DW Standards for Enterprise including Database, ETL and Reporting Standards to be used in development projects on DW Platform. Data Modeling (Logical, Physical), translating business processes and requirements to data pipelines and flows. Data Catalog and data dictionary construction. Technical Responsibilities: Design and implement scalable and secure data models using Azure SQL Database, Azure Data Lake Storage, and Azure Syponse. Finding and using the right technology for the right purpose. Develop and maintain data architecture blueprints, ensuring alignment with business requirements and industry best practices. Collaborate with data engineers to design efficient data pipelines, leveraging Azure Data Factory for data ingestion, transformation, and movement. Evaluate and recommend appropriate Azure data storage solutions based on data characteristics, performance requirements, and cost considerations. Contribute to the development and enforcement of data governance policies, including data quality standards, metadata management, and data security protocols within the Azure environment. Stay informed about emerging technologies and trends in data architecture, evaluating their potential impact and applicability to Oaktree's data strategy. Qualifications Bachelor's degree in Computer Science, Finance, or other relevant discipline. 10+ years of experience in data and analytics space and 8+ years of experience in job specific work. Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions. Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark). Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data). Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams. Personal Attributes Relationship Building; works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers. Communication; strong interpersonal and verbal/written communication skills; ability to present complex material. Independence & Collaboration; experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns. Work Ethic; focus on continual development, performance, accountability, and self-motivation. Flexibility & Organization; adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment. Intellectual Curiosity; energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies. Driving Results; sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through. Judgment; makes recommendations and decisions that balance a variety of factors. Education Bachelor's degree in Computer Science, Finance, or other relevant discipline. Base Salary Range $160,000 - $200,000 In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education. Equal Opportunity Employment Policy Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources. For positions based in Los Angeles For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.

Job Description Summary The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. Job Description Roles and Responsibilities: As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. In this role, you will: Design, develop, and deploy machine learning models and algorithms Understand business problems and identify opportunities to implement data science solutions. Develop, verify, and validate analytics to address customer needs and opportunities. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). Ensure efficient data retrieval and augmentation processes to support LLM training and inference. Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models. Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Minimum Qualifications: Bachelor's degree from accredited university or college with minimum of 3 years of professional experience OR an associate's degree with minimum of 5 years of professional experience 3 years of proficiency in Python (mandatory). 2 years' experience with machine learning frameworks and deploying models into production environments Note: Military experience is equivalent to professional experience Eligibility Requirement: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. Experience with handling unstructured data, including images, videos, and text. Understanding of computer vision techniques and tools Ability to work in a fast-paced, dynamic environment. Experience with data preprocessing and augmentation tools. Demonstrated expertise in critical thinking and problem-solving methods Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services Demonstrated skill in defining and delivering customer value. Demonstrated expertise working in team settings in various roles Demonstrated expertise in presentation and communications skills. Experience with deep learning and neural networks. Knowledge of data governance and compliance standards. Demonstrated awareness of how to succeed in ambiguous circumstances Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No

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

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

Site Name: USA - Massachusetts - Waltham, Durham Blackwell Street, Philadelphia Walnut Street, Upper Providence Posted Date: Jun 9 2025 Data Strategy, Products, and Management Sr Manager Key Responsibilities Support the launch of a new Oncology product Support internal or external teams to design, build, and manage foundational data products to enable analytics and business processes for the U.S. Commercial organization Collect business requirements for data products, data environments, and ingestion and transformation; clearly communicate those requirements to Data Architecture, Data Engineering, and Data Ingestion teams to execute. Ensure stakeholders understand the data necessary for analytics and operations activities (maintain data catalog, conduct communication/training as needed) Partner with analytics stakeholders to design and execute critical analytics initiatives (ensure data understanding, data availability, and appropriate data design and transformations; establish evaluations and ongoing processes to ensure high degree of data quality; evaluate processes and controls related to compliance and privacy for proposed data uses) Identify new data sources with strong potential for business impact; evaluate new data sources, develop a point-of-view and advocate for obtaining new data with highest potential for business impact Manage large workstreams to ensure timely execution of high quality deliverables; escalate roadblocks and risks early and effectively Optimize current processes, implement data warehouse improvements and pursue innovative projects Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: 5+ years' experience managing data or data products Experience with compliance requirements for working with data in a regulated industry Experience leading internal or external teams on high-profile data and analytics projects Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience working with pharmaceutical or healthcare data (Rx, Claims, Electronic Health Records, Specialty Pharmacies, CRM) Experience working with marketing activity data Product management experience or certifications Experience working within Software Development Lifecycle processes Experience with Agile methodologies for technical product development and program/project management Cloud certification (Azure, AWS, or GCP) Strong hands-on technical skills (advanced SQL, Databricks, Python) Familiarity with business intelligence and visualization tools (PowerBI, Tableau, etc.) Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 118 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide. CAS is currently seeking a Data Scientist Technical Manager specializing in Life Sciences and Drug Discovery. This position will be located in our headquarters in Columbus, Ohio. This is a senior individual contributor role that leads complex analytical projects and initiatives without direct reports. The ideal candidate is a highly self-directed professional who drives innovation in life sciences analytics, guides project ideation and implementation, and serves as a strategic thought leader across the organization. Key Accountabilities: Strategic Leadership & Project Management Independently conceptualize, design, and execute large-scale analytical projects focused on life sciences and drug discovery applications Drive project ideation by identifying high-impact opportunities that leverage scientific data to accelerate drug discovery and development processes Manage multiple complex priorities simultaneously while maintaining exceptional quality and meeting strategic business objectives Lead cross-functional project teams as a technical expert and strategic advisor, influencing outcomes without formal authority Business Impact & Innovation Translate complex life sciences challenges into well-defined analytical problems with clear success metrics tied to business value Develop and implement cutting-edge AI/ML solutions for drug discovery workflows, including molecular property prediction, compound optimization, and target identification Drive strategic business decisions by synthesizing analytical findings and presenting actionable insights to senior executives and C-suite leadership Technical Excellence & Thought Leadership Architect and build sophisticated mathematical models using large-scale chemical and biological datasets Evaluate and integrate diverse data sources including chemical structures, bioassay data, clinical trial information, and scientific literature Apply advanced artificial intelligence techniques specifically relevant to pharmaceutical research, including cheminformatics, bioinformatics, and computational biology methods Solve novel, ambiguous problems using innovative combinations of statistics, machine learning, and domain-specific computational methods Organizational Influence & Communication Serve as the primary data science representative on high-visibility cross-divisional initiatives and strategic planning committees Influence and educate stakeholders across all organizational levels through compelling presentations that translate complex analytics into clear business value Represent CAS externally by presenting research results at scientific conferences, participating in peer review panels, and publishing in respected journals Mentor and develop junior data scientists and interns, fostering analytical excellence across the organization Qualifications: Required: Master's Degree in Cheminformatics, Bioinformatics, Computational Chemistry, Computational Biology, Data Science or a related field with 12+ years of progressive experience Demonstrated expertise in life sciences analytics with deep understanding of drug discovery processes, pharmaceutical research workflows, and regulatory considerations Advanced proficiency with modern data science tools and platforms (for example - SQL, Spark, Python, R, graph databases, cloud platforms) with specific experience in cheminformatics and bioinformatics tools Proven track record of independently leading complex analytical projects that delivered significant business impact in pharmaceutical or biotechnology environments Expert-level knowledge in quantitative methods, advanced statistics, and machine learning with specific application to molecular and biological data Exceptional communication and presentation skills with demonstrated ability to influence senior leadership and drive organizational change Strategic thinking capabilities with proven ability to identify high-value opportunities and translate them into successful analytical solutions Strongly Preferred: PhD in Chemistry, Biology, or a related scientific discipline Deep domain knowledge in chemistry, medicinal chemistry, pharmacology, or drug discovery/development processes Cloud platform expertise for large-scale scientific computing and analytics Consulting or client-facing experience in pharmaceutical or biotechnology sectors Additional Requirements: Ability to travel as required Must be authorized to work in the United States without sponsorship CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Disabled/Veteran

About the Position: The Facilities Supervisor is responsible for the operations of the Datacenter infrastructure components including but not limited to Mechanical Systems; Chillers, CRAC, CRAH, pumps, condensers and Electrical Systems; UPS, Generators, ATS, batteries and DC plants. What you do daily: Manage all aspects of the Mechanical and Electrical operations within the Datacenters Manage and track cooling capacity, temperatures and efficiency throughout the Datacenters Manage and track electrical capacity, UPS loads, customer consumption and breaker availability Maintain 13.2mW-34.5mW Transformers and UPS systems (Mitsubishi, Toshiba, Emerson, APC) Maintain detailed site specification documentation of As-Builts, Single-Lines and pre-sales spec sheets Plan physical environment installs including capacity expansions, system upgrades, and new CRAC, In-Row cooling, UPS, distribution panels, etc. Responsible to lead the troubleshooting process and repairs in case of events or equipment failure. Make recommendations to prevent reoccurrence of such events. Ability to cover 24 x 7 support escalations/ DC incidents management and service calls for timely recovery. Optimize cooling and electrical distribution for optimal PUE Review and approve all facilities maintenance tasks/MOPS when required as part of change management system Oversee and monitor all facilities record keeping Works with internal customers and 3rd party service providers on installation of new hardware and replacement of faulty hardware. Liaison with all AC/DC users, vendors & counterparts within the company for onsite infrastructure & service related issues and process. Maintain accurate site documentation such as maintenance records, power consumption, temperature trends, PUE trends, etc Ensure that best practices are adhered to in areas of cooling and electrical documentation Participate in pre-sales engineering of Customer solutions Participate in facilities post incident reviews as required Participate in regular facilities audits What makes you a good fit: (Qualifications) Minimum 5 years' experience in managing mission critical facilities Experience with cooling subsystems such as Chillers, CRAC, CRAH, etc. Understanding of IT systems including but not limited to servers, network systems, fiber and copper cabling Experience in large, complex construction projects Ability to read and comprehend single line diagrams Excellent written and verbal communication skills Comfort in working in a fast paced 24*7 environment

Data Center Portfolio Manager Requisition ID: 44818 Job Location(s): Baltimore, MD, US Tallahassee, FL, US Employment Type: Full Time Segment: Danfoss Climate Solutions Segment Job Function: Sales Work Location Type: Hybrid Job Description Danfoss Climate Solutions (DCS) is hiring three Regional Portfolio Manager for Data Centers. This strategic role focuses on identifying, evaluating, and managing data center offerings in the form of products, systems, and services. This role involves identifying and aligning portfolio needs with the overall business strategy and influencing resource allocation to ensure we move fast. They have a deep understanding of the market to identify risks and opportunities, and drive innovation to expand Danfoss' portfolio within the data center space Supported by Global Solutions Experts, Systems Engineers, and Simulation Experts, this function works in close collaboration with the Data Center Sales team together with customers and end-users to identify opportunities and gaps in our end-to-end solution approach. Data Center System related on-site support of sales and direct involvement with innovation leaders in the DC Vertical secure a pragmatic, customer oriented "Get it done" mindset All regional positions report directly to the Head of Data Center Solutions in Danfoss Climate Solutions, Solutions & Technology. Job Responsibilities Portfolio Optimization: Analyzing the portfolio, identifying opportunities for growth, consolidation, or divestment, and making recommendations to maximize value. Close cooperation with our regional sales teams to get a one Danfoss approach towards the Data Center market. Product Lifecycle Management: Overseeing the entire lifecycle of data center products, from ideation to retirement, including new product development, enhancements, and end-of-life planning with related product managers in our Business Units. Strategic Alignment: Ensuring the data center system & product portfolio aligns with the company's overall business strategy and goals. Ressource Allocation: Supporting indirectly across the portfolio to ensure optimal allocation and efficient execution via the matrix organization within Danfoss Climate Solutions. Risk Management: Identifying and recommending mitigation associated with the portfolio, such as market shifts, or regulatory changes. Performance Analysis: Monitoring key performance indicators (KPIs) to assess the health and performance of the portfolio, identifying areas for improvement. Innovation and Market Analysis: Staying abreast of market trends, competitive landscape, and customers' need to identify application and system-driven opportunities for innovation and growth. Cross-functional Collaboration: Working closely with various teams in their own organization and business units (product management, engineering, sales, etc.) to ensure alignment and successful solution delivery. Stakeholder Management: Building and maintaining strong relationships with key stakeholders, especially regional teams, marketing, and sales. Communication: Establishing and enforcing consistent communication standards across the portfolio, keeping stakeholders informed of progress and performance. Background & Skills The ideal candidate will have these skill sets. Business Acumen: Understanding of business strategy, financial ecosystems in a company, and market dynamics. Strategic Thinking: Ability to develop and execute strategic plans for the data center portfolio in cooperation with other regional managers following the lead of the Head of Data Center Solutions. Technical Knowledge: Deep understanding of data center Cooling and other infrastructure, including hardware, software, services and IT infrastructure to allow an end-to-end portfolio view. Having the willingness to continue learning to improve application and market knowledge. Analytical Skills: Ability to analyze data, identify trends, and make data-driven decisions. Communication and Collaboration: Excellent communication and interpersonal skills to work effectively with various teams and stakeholders. English is a must; other languages are an additional advantage. Leadership: The ability to lead and motivate cross functional regional teams in a matrix is a must to drive results and manage a portfolio. In essence, the System & Product Portfolio Manager for Data Centers acts as a regional leader, ensuring the data center portfolio delivers maximum value to the business in the region and globally by aligning with strategy, optimizing resources, and driving innovation. Why Join Us? Be part of a forward-thinking team that is shaping the future of data center cooling solutions. Opportunity to lead transformative projects that impact the industry. Collaborate with top-tier professionals and leverage cutting-edge technologies. Salary Range Disclaimer: The base salary range represents the low and high end of the range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. The range for this position is $120,000 to $150,000. At Danfoss, we believe that a diverse and inclusive workplace fosters creativity, innovation, and a broader perspective in decision-making. When you consider this job posting, do you feel like your profile is not a perfect match? Numerous studies have found that women and people of color are more likely to apply only when they meet all requirements listed in the job posting. Even if you do not check all the boxes, we encourage you to apply anyway. We are curious to find out how you can bring new insights to the role or to Danfoss as an organization. Employee Benefits We are excited to offer you the following benefits with your employment: Bonus system Paid vacation Flexible working hours Possibility to work remotely Pension plan Personal insurance Communication package Opportunity to join Employee Resource Groups State of the art virtual work environment Employee Referral Program This list does not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice. Danfoss - Engineering Tomorrow At Danfoss, we are engineering solutions that allow the world to use resources in smarter ways - driving the sustainable transformation of tomorrow. No transformation has ever been started without a group of passionate, dedicated and empowered people. We believe that innovation and great results are driven by the right mix of people with diverse backgrounds, personalities, skills, and perspectives, reflecting the world in which we do business. To make sure the mix of people works, we strive to create an inclusive work environment where people of all backgrounds are treated equally, respected, and valued for who they are. It is a strong priority within Danfoss to improve the health, working environment and safety of our employees. Following our founder's mindset "action speaks louder than words", we set ourselves ambitious targets to protect the environment by embarking on a plan to become CO2 neutral latest by 2030. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category. . Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification. Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities. Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than 39.000 people, serving customers in more than 100 countries through a global footprint of 95 factories. Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification. Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities. Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than 39.360 people, serving customers in more than 100 countries through a global footprint of 95 factories. Nearest Major Market: Baltimore

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

Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: Medical, Dental and Vision plans that include no-cost and low-cost plan options Immediate 401(k) matching and vesting Vehicle purchase and lease discounts plus monthly vehicle allowances Paid Volunteer Time Off with company donation to a charity of your choice Tuition reimbursement What to Expect The Sr. Manager, Data Loss Prevention (DLP) will lead the design, implementation, and management of the organization's DLP program, ensuring the protection of sensitive financial data (e.g., PII, payment card data, intellectual property) across endpoints, networks, and cloud environments. Reporting to the Director of Cybersecurity Engineering & Operations, this role will manage a team of DLP engineers and analysts, oversee DLP platform operations, and collaborate with cross-functional teams to align data protection strategies with business objectives and financial regulations (e.g., PCI DSS, GDPR, Korean SOX, FFIEC, etc.). innovation in data security and compliance. What You Will Do DLP Program Strategy and Leadership: Program Ownership: Lead the end-to-end management of the DLP program, including strategy, policy development, and implementation of DLP solutions (e.g., Symantec DLP, Microsoft Purview, etc.). Strategic Roadmap: Develop and execute a multi-year DLP strategy aligned with organizational goals, zero-trust principles, and financial industry trends. Team Leadership: Manage, mentor, and develop a team of DLP engineers and analysts, fostering a culture of technical excellence, collaboration, and continuous improvement. Cross-Functional Collaboration: Partner with IT Infrastructure, IT Applications, DevOps, Legal and Data Privacy, Information Protection Governance and business units to integrate security into digital transformation initiatives. Executive Reporting: Present DLP strategies, risks, and performance metrics to the Director of Cybersecurity Engineering & Operations, CISO, and senior leadership, translating technical details into business impacts. DLP Platform Operations: Policy Development and Enforcement: Define and enforce DLP policies to prevent unauthorized data exfiltration, covering email, web, cloud, and endpoint channels, tailored to financial data (e.g., credit card numbers, customer PII). Data Classification: Implement, manage and maintain the data classification and tagging systems to identify, prioritize, and protect sensitive assets, ensuring compliance with GDPR, PCI DSS, and other regulations. Monitoring and Incident Response: Oversee real-time monitoring of data flows using DLP tools integrated with SIEM platforms (e.g., Splunk) and lead rapid response to DLP incidents, such as data leaks or policy violations. Endpoint and Cloud Protection: Deploy and maintain DLP controls across endpoints (e.g., laptops, mobile devices) and cloud platforms (e.g., AWS, Azure, Google Cloud and Oracle Cloud) to secure data in hybrid environments. Performance Metrics: Establish and track KPIs (e.g., incident detection rates, false positive rates, policy violation resolution times) to measure DLP program effectiveness and compliance. Technical Innovation and Automation: Automation: Drive automation of DLP processes (e.g., policy enforcement, incident triage) using scripting (e.g., Python, PowerShell) and workflow tools to improve efficiency and reduce false positives. AI and Analytics: Leverage AI-driven DLP analytics (e.g., behavioral analysis, content inspection) to detect and prevent sophisticated data loss scenarios, such as insider threats or targeted exfiltration. Integration: Ensure seamless integration of DLP platforms with IAM systems (e.g., SailPoint, CyberArk, etc.), SIEM, and financial systems (e.g., core banking, payment gateways) to enhance visibility and control. Tool Optimization: Continuously evaluate and optimize DLP tools and configurations to balance security, performance, and user experience in financial operations. Continuous Improvement: Conduct regular program assessments and gap analyses to identify opportunities for optimization and innovation in data protection. Compliance and Risk Management: Regulatory Compliance: Ensure DLP practices meet financial regulations (e.g., PCI DSS, GDPR, SOX, FFIEC, NYDFS) through policy enforcement, audit-ready reporting, and regular risk assessments. Risk Assessments: Conduct data risk assessments to identify and mitigate vulnerabilities, such as unsecured data repositories or misconfigured cloud storage. Vendor Management: Evaluate and manage relationships with DLP vendors (e.g., Symantec, Microsoft) and Managed Security Service Providers (MSSPs) to ensure platform reliability and alignment with security goals. Policy Development: Develop and maintain DLP policies, standards, and procedures in line with industry frameworks (e.g., NIST 800-53, ISO 27001). Team Management and Development: Team Management: Lead, mentor, and develop a team of DLP engineers, analysts, and architects, fostering a culture of innovation and accountability. What You Will Bring Minimum 8 years progressive experience in cybersecurity, with at least 3 years in a technical leadership or managerial role overseeing DLP programs or data security operations. 3 years of experience in financial services, with a strong understanding of financial data threats (e.g., data breaches, fraud) and regulations (e.g., PCI DSS, Korean SOX, GDPR). Hands-on experience designing and managing enterprise-grade DLP platforms (e.g., Symantec DLP, Microsoft Purview, etc.). Proven track record of implementing data classification, policy enforcement, and incident response in complex, regulated environments Bachelor's degree in computer science, Information Security, or related field; advanced degree preferred At least one of the following: CISSP, CISM, CISA, or equivalent. DLP-specific certifications (e.g., Certified DLP Professional) are a plus. Knowledge of security frameworks such as NIST, ISO 27001, and COBIT. Technical leader with deep DLP expertise, and the ability to drive innovation in data security and compliance. Expertise in DLP platforms (e.g., Symantec DLP, Microsoft Purview, etc.) and data protection technologies (data classification, encryption, tokenization). Proficiency in cloud security (AWS, Azure, Google Cloud, Oracle Cloud) and securing data in hybrid environments. Strong knowledge of SIEM integration (e.g., Splunk, etc.) and data analytics for threat detection. Experience with automation and scripting (e.g., Python, PowerShell, Bash) for DLP workflows. Familiarity with financial systems (e.g., core banking platforms, payment gateways) and their data security requirements. Preferred Experience with AI-driven DLP analytics or behavioral analysis tools for proactive data loss prevention. Familiarity with IAM integration (e.g., SailPoint, CyberArk) for comprehensive data security. Knowledge of DevSecOps and secure software development lifecycles (SDLC) in financial applications. Experience managing MSSP relationships for DLP support. Understanding of emerging DLP trends, such as cloud-native DLP or insider threat prevention. Work Environment Employees in this class are subject to extended periods of sitting, standing and walking, vision to monitor and moderate noise levels. Work is performed in an office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here. This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 ("CCPA"). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com.

The Weitz Company is currently seeking an experienced Quality Control Manager to be located on a data center project in IA, VA, OK or WI. The Quality Control Manager is responsible for providing direction and leadership on Mission Critical/Data Center projects. The role includes managing the commissioning process from level 1 through level 5, leading the turnover of a fully commissioned data center to our customer. The Quality Control Manager is responsible for the implementation and management of the project Quality Control Program. The Weitz Company has been Building a Better Way since 1855. We are a full-service construction company, general contractor, design-builder, and construction manager with office locations throughout the United States. We believe our employees to be our most valuable asset, and we are committed to growing a diverse and inclusive culture that inspires, motivates, and continuously improves. What You'll Do: Direct and manage the commissioning process (level 1 through level 5) on the project inclusive of the startup plan, commissioning schedule and functional testing. Oversee the inspection process during commissioning to ensure work is delivered in a timely manner, meeting all customer expectations and specifications. Direct and handle the commissioning process on the project inclusive of the startup plan, commissioning schedule and functional testing. Lead all activities required in the project closeout inclusive of operations and maintenance manuals, model turn over, and training. Function as the main point of contact with the owner and on-site representative. Resolve site commissioning issues and concerns that the customer may have. Participate in factory witness testing as applicable. Manage and implement the QC Program. Ensure testing is performed and provide QC certifications and documentation required. Managing and coordinating the three phases of control and documentation performed by testing laboratory personnel and any other inspection and testing personnel required. Organize mutual understanding meeting with owner and subcontractors. Conduct weekly QC meetings with owner and project team. Participate in weekly subcontractor meeting with project team. Implement methods for monitoring work activities such as three phases of control and daily progress reports to accurately inform project manager and/or project superintendent of current status of work activity. Coordinate and participate in pre-installation conferences with subcontractors. Coordinate, through intermediate QC personnel, follow-up inspections. Document all quality inspections and pre-installation meetings. Manage and coordinate QC Specialists, Testing Laboratory personnel, and any other inspection and testing personnel. Review submittals for accuracy and compliance with plans and specifications. Ensure that shop drawing and submittal review and approval process is effective and efficient. Communicate with owner, project manager, superintendent, and subcontractors to collect quality information for improvement and/or quality concerns. What We're Looking For: Experience: A bachelor's degree in construction, Civil, Architectural, Mechanical and/or Electrical Engineering is preferred; an equivalent combination of education and experience will be considered. A minimum of six (6) years of construction QC/QA experience Experience in a fast-paced environment Proven history of leading others successfully and to teach, develop and mentor others. Data center experience is strongly preferred. Skills: Ability to read and interpret construction documents, knowledge of construction methods and materials. Excellent leadership skills with a desire to mentor, coach, and develop a team Ability to compare and analyze various systems and related cost impacts Excellent verbal and written communication Ability to balance and prioritize projects with impending deadlines Detail-oriented and highly organized Strong negotiation skills Business acumen and relationship building skills Technology: Candidate should have experience with Microsoft Office Suite, Apple products (iPhone & iPad) and have the ability to learn specific software. Solid systems experience with Procore, JDE, Bluebeam and Asta is preferred. Training will be provided on company standards. What We Offer: Competitive Pay Rewarding Bonus Program Comprehensive Benefits Package with Tax-Advantaged HSA and FSA offerings Employer-Paid Short- and Long-Term Disability Programs Employer-Paid Life Insurance Generous Paid Time Off Provisions 401K Retirement Savings Plan with Company Match Tuition Reimbursement Fully Paid Parental Leave Voluntary Products Including: Critical Illness Insurance and Accident Insurance Corporate Wellness Program with Wellness Time Off and Rewards Visa sponsorship is not available for this position at this time. The Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of the Company without a prior written search agreement will be considered unsolicited and the property of the Company. Please, no phone calls or emails. The Weitz Company, LLC (and its U.S.-based subsidiaries and affiliates) recognizes the value of and is committed to hiring and retaining a diverse and inclusive workforce. We are an Equal Opportunity Employer and follow applicable affirmative action guidelines and policies. All qualified applicants will receive consideration for employment (including minorities, females, veterans, and individuals with disabilities, regardless of sexual orientation, gender identity, or other protected categories in accordance with applicable state and federal laws). The Company is a drug and alcohol-free workplace and background checks are required if applicable. Click here to review our Privacy Notice. #LI-MR1

Schedule Mon - Fri: 8 AM - 5 PM (40 Hours) What You'll Do Summary/Objective: Provides asset liability management analytics, develops accounting efficiencies, prepares, understands, and reviews financial statements, prepares profit modeling, balance sheet risk management and mitigation planning, economic scenario and stress testing, interest rate and liquidity risk analytics, and associated regulatory compliance support. Business Intelligence (BI)/data analytics-focused. Essential Functions: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Exercises credit union policies, procedures and controls to the accounting/finance department. Prepares and analyzes monthly, quarterly, and annual reporting requirements. Contributes to the preparation of the ALM model, assumptions, and reports. Provides robust statistical analytics to support portfolio modeling, member behavior, pricing sensitivity, pricing studies. Continuously improves analytical capability of the team to provide insightful and relevant recommendations to drive business decision making. Reviews financial statements and related comprehensive analyses for variances and trends. Be able to independently analyze and summarize the impacts of new and/or proposed accounting guidance, processes and procedures. Contributes to loan sale operations, key pricing analysis, servicing obligations, and assessment of the loan portfolio. Responsible for incorporating innovative data analysis tools for the department. Responsible for development and update of policy, procedures, flow charts, and technical financial positions of the credit union. Be innovative in collaborating with other departments to develop effective financial data and reports from various systems. Ability to dissect raw accounting data into a summarized analysis. Ability to perform research on current and new accounting and/or finance related issues. Enhances, improves, and maintains written procedures for the accounting department. Initiates, develops and maintains financial and operational accounting efficiencies. Engages all accounting/finance personnel to understand and apply regulatory and accounting controls, policies, and procedures. Provides innovative ideas to the accounting/finance department as well as improve efficiencies to various aspects of the department. Serves as a primary resource for other areas of the credit union to explain to them accounting/finance transactions, reporting requirements and/or any accounting/finance discrepancies. Assists in the coordination and preparation of third party audit and review materials. Leads the implementation of changes in accounting/finance changes (for systems and reporting) as well as the implementation of new accounting standards and policies. Performs ad hoc projects and analyses for credit union management. Assists in the professional development of junior Financial Analysts Perform other job-related duties as assigned or requested. Complies with regulatory compliance and assigned training requirements. What You'll Need Bachelor's degree in accounting/finance or related work experience. 4-7 years financial analyses. Proficient with Microsoft applications Strong organization skills and attention to detail Strong analytic, financial modeling, and reporting skills Ability to work with advanced spreadsheets, general ledger accounting systems, and other general technology such as report writers and budget software Strong writing skills Proficiency in the use of software applications, databases and spreadsheets Supervisory Responsibility: None Hybrid Work Environment: This is a hybrid position. As described in DCU's Hybrid Work Program, you will be required to spend a minimum of 5 days per month working in-office at a DCU facility. You may choose to work in-office more often, or you may be required to work in-office more than 5 days per month based on business or department needs as communicated by your manager. When you are not working at a DCU facility, you will work from a private designated area within your home and adhere to the requirements described in DCU's Telework Policy. Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. This is a largely sedentary role. Completing the functions of this position requires the use of standard office equipment such as computers and other related equipment. Travel: Periodically attend seminars and conferences. Service Excellence: The DCU Way: DCU's belief is that any and all business we conduct be in accordance with the highest level of ethical standards possible. We strive to uphold the highest professional and ethical standards as a foundation for building long-term, trusting relationships with our members. It's Banking the DCU Way! All employees are expected to provide service excellence the "DCU Way" through teamwork and by providing quality service to internal and external members, incorporating the Guiding Principles of DCU's culture: People come first Do the right thing Make a difference Bank Secrecy Act (BSA): All Credit Union employees are required to complete all BSA related training annually and maintain knowledge of current BSA policies, specifically those related to functions performed within the department and identify and report possible suspicious activity. What We Do DCU is the largest credit union headquartered in New England - serving more than one million members in all 50 states. With over 1,900 team members, we strive to make DCU a great place to work with an excellent work-life balance and a community that cares. DCU is an equal-opportunity employer, and we value diversity, inclusion, and equity at our company. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you're applying for a job and need a reasonable accommodation for any part of the employment process, please send an email to careers@dcu.org and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. DCU is not currently offering Visa transfer/ sponsorship for this position. #INDMI