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Job Description: The Safety and Quality Data Coordinator is responsible for auditing safety and quality processes, extracting actionable insights from IFS reports, and supporting ongoing development of our safety programs. The ideal candidate will work closely with regional leadership and branch managers to identify trends, coach opportunities, and highlight top-performing team members. Responsibilities: Data Collection & Analysis: Regularly audit safety and quality data in IFS including Job Hazard Analyses (JHAs), job tickets, and job observations. Review maintenance records to ensure alignment with safety and operational protocols. Identify trends, coaching moments, and training opportunities through monthly data reviews. Process Validation: Ensure monthly safety audits are completed across all branches. Validate completeness and accuracy of submitted documentation in IFS. Reporting & Communication: Prepare monthly summary reports highlighting trends, opportunities for improvement, and success stories. Collaborate with branch managers during monthly safety meetings to review findings and recommendations. Tools & Systems: Utilize IFS and Excel to extract and analyze data beyond standard reporting functions. Create customized data presentations to support decision-making. Required Qualifications: Proven experience with safety program auditing or quality control in a field or branch-based environment. Strong analytical skills with the ability to interpret and present complex data. Proficiency in IFS and Microsoft Excel (pivot tables, data sorting/filtering, etc.). Excellent communication skills with the ability to collaborate across multiple levels of the organization. Ability to travel regionally up to 25% as business needs dictate. Must be physically located at a branch (no remote work). Must submit to a pre-employment fit for duty and drug screen evaluation. Compensation and Benefits: 401(k) program with company match up to 10% of pay Family medical, dental and vision insurance available after 90 days Paid time off and other benefits Barnhart CARES family care and community service opportunities PURPOSE - Barnhart is built on a strong foundation of serving others. The fruit of our labor is used to grow the company, care for our employees, and serve those in our communities and around the world. MINDS OVER MATTER - Barnhart has built a nationwide reputation for solving problems. We specialize in the lifting, heavy-rigging, and heavy transport of major components used in American industry. NETWORK - Barnhart has built teams that form one of our industry's strongest network of talent and resources with over 60 branch locations across the U.S. working together to serve our customers. This growing network offers our team members constant opportunity for career growth and professional development. CULTURE - Barnhart has a strong team culture - the "One TEAM." We are looking for smart, hard-working people who strive for excellence in their work and appreciate collaboration. Join a team that values Safety, Servant Leadership, Quality Service, Innovation, Continuous Improvement, Fairness, and Profit with a Purpose. EOE/AA Minority/Female/Disability/Veteran #LI-HS1

Location: On site in Charlotte or Raleigh. Summary: The Data Management Manager will play a vital role on the Enterprise Data Management team with impact across the company. This exciting role provides the opportunity to be a critical part of a growing team that is driving our company's capabilities into the future. The ideal candidate will blend strategic thinking, strong organizational skills, excellent data management and data governance expertise and the ability to develop trusted relationships with a broad range of stakeholders. An understanding of data governance, data risks, data routines, data systems, technology platforms, banking, regulatory requirements, and data tools will be important attributes for success. Duties and Responsibilities: The Data Management Manager will play a vital role on the Enterprise Data Management team with impact across the company. This exciting role provides the opportunity to be a critical part of a growing team that is driving our company's capabilities into the future. The ideal candidate will blend strategic thinking, strong organizational skills, excellent data management and data governance expertise and the ability to develop trusted relationships with a broad range of stakeholders. An understanding of data governance, data risks, data routines, data systems, technology platforms, banking, regulatory requirements, and data tools will be important attributes for success. This opportunity will be based in one of First Horizon's office locations in our 12 state Southern footprint as engagement with business partners across the company is a key to success in this role. Duties and Responsibilities Directly responsible for developing and implementing a comprehensive data governance program that aligns with regulatory requirements and industry best practices Build, develop, and lead team that engages across the company to promote governance principles, ensures adherence to data policy & standards and other data programs Manage the data governance framework, including data governance, data quality, and collaborate with lines of business and enterprise technology to ensure adherence consistently Partner closely with enterprise technology to develop/maintain robust data governance controls within the data applications, tools and platforms as a part of the data journey Create and maintain the data management policies, standards, guidelines, data roles and responsibilities to ensure appropriate accountability for data stewardship across the firm Build a data quality assurance program to monitor, report and escalate adherence to the senior management Monitor and report the adherence to the data policy and standards by lines of business as a part of Quality Assurance program and escalate it to data management senior leaders on non-adherence as applicable Collaborate with lines of business to identify and address data governance challenges Contribute/lead in the data governance working group and other relevant data forums with lines of business Develop and deliver training on data policy, standards and procedures to educate the stakeholders on data governance, data risks, metrics and adherence Develop and maintain data process and data governance metrics associated to the data policy and standards Drive the data issue remediation efforts within the data governance group; Partner with lines of business to assist them in the data issues remediation process Job Requirements: Bachelor's degree in data science/analytics, business administration, information technology, or a related field Minimum of 10 years of experience in data governance, data risk, data quality, or a related field Strong understanding and extensive hands-on experience on data risks, data governance, data management, quality assurance, metrics/reporting and stakeholder management is required Proven experience in developing and implementing data governance programs with significant banking experience preferred Strong understanding of banking industry data governance requirements, regulatory expectations and industry best practices Excellent leadership, communication, and interpersonal skills Must be proactive, deadline oriented, analytical, and have a strong work ethic Ability to work effectively with partners at all levels of the organization Knowledge of data tools and experience accessing data from multiple database types and platforms would be helpful About Us First Horizon Corporation is a leading regional financial services company, dedicated to helping our clients, communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services. First Horizon has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at www.FirstHorizon.com. Benefit Highlights Medical with wellness incentives, dental, and vision HSA with company match Maternity and parental leave Tuition reimbursement Mentor program 401(k) with 6% match More -- FirstHorizon.com/First-Horizon-National-Corporation/Careers/Our-Benefits Follow Us Facebook X formerly Twitter LinkedIn Instagram YouTube

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In testing and quality assurance at PwC, you will focus on the process of evaluating a system or software application to identify any defects, errors, or gaps in its functionality. Working in this area, you will execute various test cases and scenarios to validate that the system meets the specified requirements and performs as expected. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Software and Product Innovation - Testing and Quality Assurance team you are responsible for the creation and implementation of impactful testing methodologies and quality assurance processes. As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards. You focus on building client relationships, managing test delivery engagements, and developing a deeper understanding of the business context. Responsibilities Lead the development and execution of reliable testing methodologies Oversee the implementation of quality assurance processes Analyze intricate issues to provide solutions Mentor and guide junior team members Maintain excellence in deliverables Build and nurture client relationships Manage test delivery engagements effectively Develop a thorough understanding of the business context What You Must Have High School Diploma 3 years of experience What Sets You Apart Bachelor's Degree in Computer Engineering preferred Project Management Professional (PMP), or Agile Certification preferred Evaluating and appraising the lifecycle of a defined Testing Methodology Managing Test Delivery engagements Utilizing leading practice application and integration testing Providing testing recommendations and organizational designs Managing technical teams and engagements Assessing end-to-end integrated systems Conducting quantitative and qualitative analyzes of large and complex data Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Are you a hands-on problem solver with a knack for keeping critical infrastructure running like clockwork? We're looking for a seasoned Facilities Engineer ready to take charge of HVAC systems, electrical installations, and essential infrastructure operations at our high-performance facility and Data Center. This is more than maintenance-it's mission-critical work that ensures uptime, safety, and operational excellence across the board. What You'll Tackle Be the first line of defense: Conduct regular site inspections and monitor alarms across the facility and Data Center. Own your systems: Perform and oversee preventive maintenance on essential infrastructure-HVAC, electrical systems, and more. Fix it right: Carry out both routine and complex corrective repairs, always with an eye for quality and safety. Mentor and collaborate: Guide junior staff through incidents and partner with internal and external teams to deliver real-time solutions. Coordinate the critical: Work with the Team Lead to execute major infrastructure projects and critical system changes. Document like a pro: Log all activity, support MOPs and permit scripts, and keep records razor-sharp for audits and compliance. Be project-ready: Take on complex circuit installations and contribute to future-facing improvements across the facility. What You Bring 3+ years of experience in facilities operations, with strong HVAC expertise and electrical credentials (Journeyman level preferred). Solid understanding of critical infrastructure systems-Data Centers experience is a major plus. High school diploma or equivalent. Physical readiness to lift up to 50 lbs and perform tasks involving standing, climbing, bending, and more-with or without reasonable accommodation. Flexibility to work days, nights, weekends, or holidays as needed. Why You'll Love It Here We empower our facilities engineers to lead, solve problems, and make a real impact from day one. You'll join a collaborative team that values your know-how and gives you room to grow. If you're looking for more than a maintenance gig-this is the role for you. Ready to power up your career? Apply now. Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 7 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP/Snowflake Preferred Knowledge/Skills: Demonstrates extensive abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and, Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used. Demonstrates extensive abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems; Working closely with business stakeholders to capture and document business; objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Coordinating and providing guidance to technology teams and architects to define and develop technology solutions; Demonstrating critical thinking and problem-solving methods and skills; Supervising teams to create an atmosphere of trust; Seeking diverse views to encourage improvement and innovation; Coaching staff including timely meaningful written and verbal feedback; Building, maintaining and utilizing networks of client relationships and community involvement; Using appropriate facilitation techniques to gain agreement or move others to action; Managing resource requirements, project workflow, budgets, billing and collections; and, Preparing and/or coordinating complex written and verbal materials. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Description: At Lockheed Martin Aeronautics we are committed to shaping the future of aviation! Our Aeronautics Supply Chain team is passionate about delivering innovative, affordable, and agile solutions that exceed our customer's expectations. The supply chain team touches every product and service we deliver and enables our customers to do the impossible every day. At Aeronautics, we leverage problem solving, creativity, and data to tackle the most exciting challenges in the industry. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. You have arrived at your career destination! Join us! Watch this video to learn more about why we work at Lockheed Martin! Who You Are You'll perform as a Data Visualization, Illustrator Analyst, Staff What You Will Be Doing You'll be a highly experienced and skilled Team Lead joining our team in the development and creation of a new Illustrated Parts Breakdown (IPB) manual for the F-35 aircraft. As a Team Lead, you will have the opportunity to lead a talented team of data analysts and illustrators in producing a comprehensive and accurate IPB manual that meets the specific needs and requirements of the F-35 program. What's In It For You From on-site to hybrid, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Further Information About This Opportunity This position is located in Fort Worth, TX à Discover Fort Worth. Basic Qualifications: At least 5 years of experience in a leadership or management role, preferably in a technical writing or engineering environment. Experience in leading teams and managing projects, with a proven track record of success Desired Skills: Experience in the development and creation of technical documentation and/or data governance such as IPB manuals, is highly desirable Experience with F35 engineering and sustainment data systems such as PDM, Provisioning, SFM, Engineering drawings, VAS, etc. Experience with project management and project management methodologies Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: AERONAUTICS COMPANY Relocation Available: Possible Career Area: Publications and Graphic Arts Type: Full-Time Shift: First

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

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

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

Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Role: The Enterprise Data & Analytics (EDNA) team is building the foundation for data-driven decision making at Equinix. We are responsible for developing the core data platform, product, process, and policy that enable the business to operate with greater speed, clarity, and confidence. Our mission is to deliver data as a product - intuitive, trusted, and actionable - to power better and faster decisions across the company We are seeking seasoned and visionary Senior Director of Enterprise Data Product to drive enterprise-wide impact through cutting-edge data and AI product leadership. This role is a critical bridge between business strategy and technical execution, responsible for shaping, testing, and delivering high-value data and AI capabilities that are intuitive, scalable, and measurable. You'll work across multiple verticals (e.g., Finance, Legal, HR, Marketing, Product, Operations) to ensure our data and AI investments unlock meaningful business outcomes Responsibilities: Strategic Leadership Lead multi-functional teams and shape the end-to-end strategy for enterprise data and AI products Define and evolve the enterprise data product vision across key verticals, aligned with company priorities and C-suite goals Champion data-driven culture and serve as the executive-level thought partner for senior leaders Data Product Ownership Define, build, validate, test, and promote adoption of our core enterprise data products to drive faster, smarter decision-making across the business Own the product lifecycle from ideation through delivery and continuous improvement, ensuring usability, scalability, and measurable impact Productize analytics solutions - from self-service insights and KPI dashboards to intelligent assistants and AI copilots Prioritize and allocate resources against the highest ROI opportunities; establish business cases, KPIs, and outcome measurement AI & Data Science Integration? Partner with AI Engineering and Data Science to identify, experiment, and scale AI use cases that drive automation, insight generation, and predictive capabilities Translate emerging AI technologies into enterprise-ready applications with tangible ROI Drive rapid iteration, experimentation, and feedback loops to validate and scale AI-driven products Stakeholder Engagement Build trust with C-level and senior business leaders through deep understanding of functional strategies, data needs, and pain points Run structured roadmap reviews, co-create use cases, and ensure transparency in prioritization and delivery trade-offs Drive alignment across business, data governance, engineering, and change management teams Qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience performing statistical analysis, and coding (e.g., SQL, Python, R). Minimum of 8 years' experience in Product Management and/or Data Science, preferably within the data/analytics domain, either internal facing or both internal and customer facing products (e.g., commercialized and generating revenue) Excellent communication and interpersonal skills, with proven track record of building strong relationships with business stakeholders Experience operating in a highly cross functional, multinational business Dynamic, forward-thinking leader with a bias for action, rapid experimentation, and ability to break down complex problems Preferred: Prior experience in Data Center, Cloud, Telecommunications, IT industry Skills and Attributes Analytical problem solver with the ability to work under pressure and multitask while leading cross-functional teams Excellent communicator able to simplify the complex Ability to build and maintain strong business relationships with key stakeholders as a trusted advisor Ability to demonstrate ownership and proactively drive initiatives Ability to balance collaboration while driving alignment and being decisive Leadership characteristics Is a transformational leader who excels at driving bold and meaningful change at scale and across multiple dimensions. Leads with a global mindset, across cultures, in a highly matrixed, relationship and consensus-driven environment. Cultivates Innovation - Creates new and better ways for the organization to be successful. Fosters a climate where innovation can thrive. Encourages innovative risk taking and embraces failure as a part of innovation The United States targeted pay range for this position in the following location is / locations are: San Francisco, CA / Bay Area: $250,000 to $374,000 per year Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. As an employee, you become important to Equinix's success. Details about our company benefits can be found at the following link: USA Benefits eBook Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team: TORC is looking for an experienced principal engineer to serve as the architect and pragmatic visionary for data ecosystem for autonomous vehicle technology. This role will play a pivotal role in the success of the organization and comes with high visibility, responsibility, and technical impact. This person must have a strong technical foundation in building and delivering high-performance, resilient, and scalable cloud computing solutions and will bring strategic insights, technical acumen, mentorship and facilitate collaboration across the organization. What You'll Do: Drive and grow the strategic technical vision for the Data & Enablement Division--responsible for foundational services and systems used by engineers and customers to build and support our autonomous trucking platform. Work within Torc's Principal Community to mature our technical vision and drive technical direction across the organization. Collaborate with stakeholders to understand requirements and design scalable and maintainable software solutions that support the broader Technology organization. Be a role-model and set the standards of highest-level technical excellence and rigor within the Data & Enablement Division Provide technical leadership and guidance to engineering teams in the Data & Enablement Division. Participate in design and code reviews, providing constructive feedback to ensure high-quality solutions that adhere to established standards and practices. Mentor and guide division engineers, assisting in their technical growth and fostering a culture of learning and development within the division. Troubleshoot and debug the most critical issues, determining the root causes, implementing appropriate solutions, and setting up safeguards against recurrences. Be able to analyze, and mentor others to analyze, system performance to implement necessary optimizations to enhance speed, efficiency, and scalability. Participate in project planning and collaborate with technical product managers on the priorities and customer expectations of the proposed software solutions. Stays up to date with the latest industry trends, technologies, and best practices for potential integration with existing solutions. What You'll Need to Succeed: Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 20+ years of experience OR Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience Ten-plus years of experience building and maintaining workloads in public cloud environments Strong technical communication skills, written and verbal, that scale to a diverse workforce Strong problem-solving skills with the ability to analyze and understand complex software system issues and evolving technical challenges Strong proficiency in Python and a commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code Strong ability to align technical objectives to business values and articulate the associated business value of technical work Strong time management and organization skills to plan, develop, prioritize effectively, and maintain competing demands simultaneously with frequent interruptions and in fast-paced environment Ability to facilitate and drive collaborative engagement across technical teams in a large engineering organization in person and virtually Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena) is preferred Familiarity with robotics and advanced driver assistance systems is preferred Experience developing data warehousing, data lake or data mesh solutions is preferred Experience scaling software and infrastructure architectures for simulation environments is preferred Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) Company-wide holiday office closures AD+D and Life Insurance Hiring Range for Job Opening US Pay Range $226,400-$271,700 USD At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and 30,000 dealerships use our products. But they're not the only ones who love CarGurus-our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview We are looking for a Senior Product Data Analyst to join the team, which tackles a complex data environment, builds out core assets, runs experiments, and executes on many more unstructured analytics tasks to support the growth of the Mobile App. Our Product Data Analytics org as a whole supports our Product and Engineering teams, providing the final word on all analytics for CarGurus' user and dealer experiences. We are looking for thoughtful, curious, internally driven candidates who can dive into complex data and draw novel, insightful conclusions. What you'll do Using your SQL expertise, conduct exploratory empirical analyses that bridge disparate data sources (e.g. app and website usage, subscription records, inventory volumes, etc.) to quantify product performance, user behavior, and/or market trends. Doing so will require distilling unstructured "big data" into actionable insights. Creatively compress sweeping, high-level exploratory requests into specific calculations that address your stakeholders' underlying needs. Relentlessly dig into the data - consulting with other individuals and teams as you judge necessary - beyond the letter of the initial assignment, to hammer out any anomalies or self-direct your inquiry into other relevant issues. Be comfortable escalating and automating your analyses using R/Python scripting. Be the authority on A/B experimentation, advising engineers and product managers on everything from the necessary data points to collect, required sample sizes, optimal metrics to examine, robustness of numerical findings, and the bottom-line success or failure of the tested changes. Provide technical guidance on and ideas for improving A/B testing-related tools, algorithms, and automated processes. Conduct self-directed research on the latest trends in A/B experimentation, and map out internal improvements based on your findings. Advocate for specific, data-driven product innovations that help further high-level company strategy, primarily in partnership with the Product/Engineering teams. Participate in brainstorming and planning discussions across the organization to these ends. Avoid passivity in the face of flawed proposals; tactfully and persuasively push back against potential missteps. Craft the metrics that define business success, condensing abstract or loosely-defined concepts down to concrete calculations. Audit and improve existing metrics to better inform the business' needs. Build intuitive dashboards and other visual monitoring tools to guide daily decision-making by senior stakeholders and the company at large. Experiment with new kinds of visualizations that you believe could be better utilized in the organization. Re-work underlying code to appropriately structure visualization inputs. Communicate and present complex quantitative findings in easily digestible terms to company leadership, homing in on key takeaways. Concretely and informatively respond to any probing, on-the-spot follow-up questions from senior decision-makers. Conceive of new data assets and build automated transformations (via DBT, LookML, etc.) to bring them to fruition. Partner with Data Engineering teams to advance core data modeling/architecture (e.g. user clickstream logging), by optimizing, integrating, and distilling large raw datasets and metadata. Draw upon prior experience with expansive, unrefined datasets to fix modeling bottlenecks in quick, scalable, outside-of-the-box ways. What you'll bring Bachelors/Masters Degree with 4+ years of experience in an analytics or analytics-adjacent field, ideally involving complex data modeling, quantitative analysis, and applied statistics. 2+ years of experience communicating the results of analyses to leadership teams to influence strategy Expert fluency in SQL. Strong background with Python (or similar programming language) is required. Second-nature understanding of core statistical concepts (regression, significance testing, omitted variable bias, independence/dependence, etc.) Knack for creative data visualizations. Willingness to step outside your role and independently come up with novel ideas for the business. Willingness to challenge others' ideas and advocate for your own. Excellent verbal and written communication skills. Very comfortable presenting high-impact and potentially sensitive findings to senior leadership. Strong project planning skills, with experience building roadmaps, estimating required resources, and flagging inter-dependencies with other teams/projects. Preferred tools/programs: Snowflake, Snowplow, DBT, Looker, Jira, Salesforce, Google/MS suite Working at CarGurus We reward our Gurus' curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential-starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That's why we hope you'll apply even if you don't check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid

Job Family: Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI (TS/SCI) What You Will Do: The Data Visualization Specialist will support the Aeronautical Safety Office (SFA) at the National Geospatial-Intelligence Agency (NGA) with business and mission operations by creating decision-analytics via data visualizations, and helping the office manage, optimize, and mature their data processes. This role will be part of a small team support SFA in a variety of IT and analytics capacities. Specific duties include but not limited to: Develop and maintain data visualizations in software such as Tableau regarding SFA's operations and performance Administer, maintain, develop, and implement improvements to SharePoint sites and sub sites on NGANet (COE) and SBU. Maintain and augment web sites to include daily updates to application functionality in support of requests. Perform SharePoint Site Collection Services including, but not limited to, creating and configuring new site collections. Set permissions of site collections in accordance with the SharePoint Security Model. Assess, recommend improvements to, and deliver an updated version of the SharePoint Security Model. Create and modify site templates, to include the development of Style Sheets. Monitor SharePoint sizing and usage limitations, to include developing and implementing solutions to avoid sizing threshold breaches and site performance problems. Submit requirements within Service+ for any compute, storage, database, SharePoint, or Tableau infrastructure provisioning to be fulfilled by the UDS contractor. What You Will Need: An ACTIVE and MAINTAINED "TOP SECRET/SCI (TS/SCI)" Federal or DoD security clearance; Once onboard with Guidehouse, new hire MUST be able to OBTAIN and MAINTAIN TS/SCI Federal or DoD security clearance with a COUNTERINTELLIGENCE (CI) polygraph Bachelor's degree; FIVE (5) years of additional relevant experience in lieu of Bachelor's ONE (1+) plus years of relevant data visualization experience in DoD/IC environment Demonstrated experience utilizing Tableau to produce graphics and reports Experience creating and customizing Tableau dashboards 5 days/week at client site What Would Be Nice To Have: An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a COUNTERINTELLIGENCE (CI) polygraph Excellent communication skills and the ability to manage multiple priorities; experience communicating analysis and demoing visualizations to Senior leaders. Experience utilizing SharePoint Development to produce and edit site pages, document libraries, and dashboards (REST API, Web Data Connector, Extensions API) Additional experience with one or more of the following: Tableau Desktop Tableau Creator, Tableau Server, or Tableau Prep Understanding of effective data management and data visualization project documentation such as SOPs, data definitions/dictionaries, data process flows, Confluence pages #LI-RE1 What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

SWBC is currently seeking an experienced Enterprise Data Architect to join our internal team at our SC3 location. Why you'll love this role This role offers a unique opportunity to dictate and direct future data direction, set the standard for database design and data governance and use your skills to help grow our team in data knowledge. You'll work with great people with a variety of skills to help them and the business achieve great results. Essential duties include the following: Develops and maintains enterprise data architecture aligned with business and technology strategies. Designs and implements AI-driven solutions to enhance analytics and decision-making. Leverage Snowflake for high-performance data warehousing and analytics. Builds and manages a centralized data hub to ensure data consistency and accessibility. Defines and enforces policies to maintain data quality, security, and compliance. Collaborates with internal stakeholders to translate business needs into technical solutions. Leads end-to-end delivery of data solutions, ensuring timely and effective implementation. Drives initiatives to modernize and transform data infrastructure. Promotes a culture of innovation by exploring emerging technologies and methodologies. Serious candidates will possess the minimum qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Minimum of seven (7) years in data architecture with a focus on AI, Snowflake, Unified Data Hub, and Data Governance. Certified Data Management Professional (CDMP) preferred. Snowflake SnowPro Core Certification preferred. Certified Information Systems Security Professional (CISSP) preferred. AI/Machine Learning certifications (e.g., TensorFlow Developer Certificate) preferred. TOGAF Certification preferred. Deep knowledge of data architecture principles and best practices. Proficiency in AI technologies and their application in data ecosystems. Expertise in Snowflake and its ecosystem. Experience designing and implementing Unified Data Hubs. Strong understanding of data governance frameworks. Excellent communication and stakeholder engagement skills. Proven ability to lead technology delivery and manage complex projects. Passion for driving innovation and continuous improvement. SWBC offers*: Competitive overall compensation package Work/Life balance Employee engagement activities and recognition awards Years of Service awards Career enhancement and growth opportunities Leadership Academy and Mentor Program Continuing education and career certifications Variety of healthcare coverage options Traditional and Roth 401(k) retirement plans Lucrative Wellness Program Based upon employee eligibility Additional Information: SWBC is a Substance-Free Workplace and requires pre-employment drug testing. Please note, SWBC does not hire tobacco users as allowed by law. To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

Data Engineer We are looking for an experienced Data Engineer to design, develop, and support a wide variety of data-focused applications within the Azure, Fabric, and Databricks cloud platforms. This is a unique opportunity for a skilled data engineer to design and develop end-to-end databases, integrations, user interfaces, and data analytics on the Azure platform and to find a permanent home with a company that offers a fun, inclusive culture, great people, and an exceptional work/life balance. Our Technology Microsoft Azure Azure SQL Server Azure Data Lake Azure Databricks Azure App Services Microsoft Fabric Languages: Java, C#, Python, .NET Core, Angular, Javascript Essential Functions The Data Engineer plays an essential role in the design, development, and support/maintenance of all the Azure components, Fabric analytics, Databricks ETL pipelines and analytics, and their related operational applications Design and implement database models and architectures for both OLTP and data analytics purposes Design and develop robust data integration frameworks for moving and transforming varied data sets between Red Robin, 3rd party applications, and external partners Design, develop, and consume API interfaces for managing the flow of complex data across platforms within Red Robin and with our external partners Design and develop modern responsive and reactive user interfaces, reports, and dashboards for end-user data management, process tracking and execution, and system health monitoring Provide cross-functional support to the Red Robin Data Team for all databases, applications, and analytical reports on Azure and Fabric Develop and publish technical design specifications and documentation for assigned development projects Essential Skills Data architecture and modeling for OLTP and data warehouse environments Advanced ETL development with Databricks and Python Advanced SQL development on MS SQL Server API development and consumption Modern responsive and reactive user interfaces Data analytics frameworks Azure platform development Qualifications 5 - 8 years of SQL database development required Experience developing large databases with custom database applications required Experience with ETL frameworks and tools required Experience with both REST and XML API services required Experience developing Angular or .NET Core user interfaces, reports, and dashboards required Advanced level experience with Python, Java, or C# required Experience with Databricks highly desired Experience with data analytics desired Experience on the Azure platform desired Experience with Fabric and Power BI desired Ability to quickly understand complicated systems Excellent analytical, problem solving and organizational skills Comfortable communicating in a team environment and able to communicate effectively with all levels from users to management Excellent written communications skills for writing technical specifications involving architecture, database design, and ETL workflow Benefits Eligible for a quarterly bonus Paid time off and holidays Health, vision, dental, life insurance plans, and discounts 401(k) savings plan plus a company match with immediate vesting Eligible to participate in the employee stock purchase plan after 1 year of continuous employment Discounts on Red Robin food Compensation Range: $96,100.00 - $132,250.00 Red Robin is an Equal Opportunity & E-Verify Employer

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

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

About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the role We are looking for a Head of Delivery Operations for the "Data-as-a-Service" (DaaS) business. In this role, you will lead the team responsible for Snorkel's data development pipelines, ensuring high quality and on-time delivery of complex datasets for customers at the frontier of GenAI. You'll be a technical leader who partners closely with cross-functional teams- including research, engineering, and GTM to redefine how data powering frontier AI models is delivered using Snorkel's state-of-the-art platform and research. You will drive critical outcomes in a fast-paced environment, working directly with our customers to ensure delivery success.In this founding role, you'll serve as a key business leader responsible for delivering DaaS customer value, driving operational rigor, people leadership, and strategic decision making for the business. The person we're looking for is someone who isn't afraid of blank space- we want someone who can scale an organization but also roll up their sleeves to drive results. Reporting to the GM, DaaS, within Snorkel's executive team, you'll have the ownership and agency to build from the ground up as a founding member of this rapidly scaling business. Main Responsibilities Build the long-term vision, near-term operating plan, metrics, and key areas of investment for the DaaS Delivery team to drive high quality, high volume data pipelines Oversee the entire lifecycle of solution delivery, from initial requirements gathering to final implementation; drive the planning, execution, and delivery of strategic data labeling/annotation/curation projects and initiatives, across varying customers and timelines and ensure all customer requirements are delivered on-time, on-budget and to quality expectations. Lead the delivery operations team to drive high-performance and scale a top performing team. Collaborate cross-functionally with research, engineering, product, supply, operations, and GTM leaders operate and scale the DaaS business business Drive innovation in solutions delivery, exploring new technologies and methodologies to improve efficiency and effectiveness. Identify and mitigate potential risks associated with solution delivery, developing contingency plans and taking proactive measures to ensure all customers and crossfunctional partners are as successful as possible. The salary range for this position based in the San Francisco Bay Area is $240,000 - $300,000. All offers include equity compensation in the form of employee stock options. Minimum Qualifications 8+ years of experience in technical delivery, operations, product, or related fields; 4+ years of people management. Strong technical background (e.g. computer science, engineering, data analytics) Proven track record of successfully leading complex, technical cross-functional projects from inception to completion Strong leadership and maturity to build (attract, hire, retain) and scale a world-class organization. Exceptional communication skills, with the ability to translate complex ideas into clear, compelling narratives-written, verbal, and visual Excellent cross-functional collaboration skills, especially in working with both technical and non-technical stakeholders to turn ambiguous problems into scalable solutions; proven success influencingcross-functional teams and external stakeholders. Strong business acumen-assessing risks, opportunities, and trade-offs to support short-term needs and long-term goals. Bias to action and agility - you move quickly and thrive in a fast-paced environment. No job is beneath you and you lead from the front. Ability to thrive in a fast-paced, dynamic, zero-to-one environment Bonus: experience managing customer-facing / field teams #LI-BB1 Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.