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Job Title: Senior Director - Data Operations Location: Cambridge, MA Morristown, NJ About the Job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. The Data Management Program Leader is accountable for designing and managing a comprehensive data management program (a combination of data assets, services, and processes) focused on meeting the information-related requirements of the business. This role is important for driving data-driven decision-making and optimizing commercial operations to support our business objectives. There are 6 Data Management Programs in US Commercial Data Management: Customer Master, Data Operations, Specialty Channel, Go-to-Market, Business Performance, Business Dynamics. In addition to general leadership and management competencies, each program leader should be a "consultant level" subject matter expert in their operations and/or data domains. They are accountable to build and run a complete strategy and operations program to maximize the value of their area. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: General Responsibilities for all Data Management Program Leaders: Data Strategy: Design, build, and implement a commercial data strategy that aligns with the organization's goals and objectives. Business requirements documents reflecting a deep understanding of market dynamics, commercial capabilities, and business goals. Business-level conceptual data model. Data assets and services evaluation and acquisition. Design and build custom data assets where necessary. Operations Management: Design, build, and run an operations program to ensure the effective processing and management of data. Data management business processes. Master data, reference data, and business rules management. Comprehensive data quality program. Integration with commercial systems. Business ownership of associated Digital systems. Vendor management responsibility. Value Realization: Ensure data management investments are maximized by our stakeholders. Comprehensive and business-oriented metadata (e.g., data models, data dictionary, business glossary). Effective stakeholder communication and change management plans. Guidance documents for and consulting with stakeholders on the effective use of data. Team Leadership: Lead, inspire, and develop Data Management team members in the United States and India. Contribute to a team culture that maximizes every teammate's contribution, engagement, and work satisfaction. Ensure team learning by developing individual and organization learning plans. Ensure strong collaboration with stakeholders, colleagues, and Sanofi departments. Resource Management: Effectively manage and optimize all resources. Compliance: Ensure all data and services are in full compliance with Sanofi policies, with particular attention to GxP, privacy, and anti-kickback areas. Specific Expectations for Data Operations Senior Director of Data Operations, a strategic leadership role accountable for transforming enterprise data following the Data as a Product customer-centric approach, maximizing value and usability of data across the enterprise. Key responsibilities include driving operational excellence, enabling cross-functional collaboration, and ensuring scalable, high-quality data delivery across business domains. Key Responsibilities: Business ownership for Diamond, Sapphire, OneProduct, and EDC. Data as a Product Leadership. Embed data product thinking across the organization and develop capabilities that support scalable, reusable data services. Lead the data operation lifecycle management of data products, including Diamond, Sapphire, Reference Data, Metadata, and DQ. Collaborate with domain experts and business stakeholders to define requirements, business rules, and data quality standards. Serve as the voice of the customer, ensuring data products align with business priorities. Oversee operational support, enhancement, and change management for critical Data Products in scope. Build strong partnerships with global and offshore teams (HYD) to ensure delivery, quality, and performance of managed services. Provide strategic direction to cross-functional projects including product launches, digital transformation initiatives, and strategic data platform enablement. Partner with functional and therapeutic area leads, IT, and enterprise data stakeholders to align on strategic priorities, resource needs, and value delivery Act as a senior representative of CDM in forums involving business transformation and Data as a product enablement About You Qualifications Education: Bachelor's degree in a relevant field (e.g., Data Science, Business, Life Sciences). Advanced degree preferred. Experience: Minimum of 12 years of experience in positions related to data strategy and operations, preferably also with at least 5 years in a leadership role within the life sciences industry. Technical Skills: Very strong subject matter expertise in the relevant Data Management Program domain (data sources, technologies, services, etc). Strong knowledge of data management principles and practices. Strong knowledge of commercial operations areas. Leadership Skills: Strong leadership and team management skills, with a proven track record of leading cross-functional teams and driving organizational change. Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA #LI-SA #LI-Onsite #vhd Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $180,000.00 - $260,000.00 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

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

Industry/Sector Not Applicable Specialism Oracle Management Level Manager Job Description & Summary A career in Oracle consulting will provide you with the opportunity to help organisations use enterprise technology to achieve their digital technology goals and capitalise on business opportunities. We help our clients implement and effectively use Oracle offerings to solve their business problems and fuel success in the areas of finance, operations, human capital, customer, and governance, risk and compliance. The Oracle Data and Analytics team, within Oracle consulting, provides you with the opportunity to help our clients transform their organization through better use of data and analytics to drive profitable growth, reduce operational costs, improve customer experience, empower employees, reduce operational risk, and address regulatory requirements. We help our clients define their Data and Analytics strategy and effectively see the strategy through execution. We help implement and effectively use broad technology offerings including Oracle Analytics and Data solutions along with enhanced Data Governance and Data Management capabilities to solve their business problems and achieve their strategic business goals. 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. As part of the Oracle Data and Analytics team you manage data strategy, data roadmap, data governance, and data solution implementation projects. As a Manager you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for securing project success and maintaining top standards. You are responsible for leading a team of on and off-shore resources, including business analysts, data analysts, solution architects, and developers to deliver a data-focused engagement. Responsibilities Lead teams in managing data strategy, data roadmap, data governance, and data solution implementation projects Manage client accounts with a focus on strategic planning and mentoring junior staff Oversee a team of on and off-shore resources Confirm top standards and project success Foster a collaborative and innovative team environment Develop and maintain powerful client relationships Mentor and develop junior team members Lead business analysts, data analysts, solution architects, and developers What You Must Have Bachelor's Degree 7 years of experience What Sets You Apart Bachelor's Degree in Computer Science, Computer and Information Science, Information Technology, Management Information Systems preferred Managing data strategy and data solution implementation projects Leading a team of on and off-shore resources Analyzing end-to-end data flows and conducting hands-on data analysis Designing improved data flows and architecture Overseeing project timelines and risks Utilizing and leading data programs with various products Managing consulting engagements in data architecture Automating processes and analytics 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 Insurance Specialism Data, Analytics & AI Management Level Senior 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 Senior 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: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. 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: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates 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); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts 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.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with Generative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Data Scientist Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 8 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like LangGraph, AutoGen or Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with Hybrid Retrieval, Semantic Chunking, Metadata Filtering and Vector Search Optimization Experience with Advanced LLM concepts like Prompt Compression, Fine-Tuning, Caching, etc. Experience working with multimodal models integrating image, text, or audio into GenAI workflows. Experience working with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation, including human-in-the-loop feedback loops. Experience with LLMOps practices including prompt versioning, caching, observability, cost tracking, and production deployment of LLMs. Strong understanding of AI governance (like GDPR, explainability), data privacy, model safety (e.g., hallucination, toxicity, bias), and enterprise-grade compliance requirements. Experience with data gathering, data quality, system / microservices architecture, coding best practices Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ / Sunnyvale, CA / Austin, TX / Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA or is willing to relocate. Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. Exposure to Front -End / Full-Stack Integration (React / Angular, TypeScript, REST APIs, GraphQL, Event-Driven etc.) The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA: $94000 to $164500 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

The Senior Data Scientist- Credit Modeling will work in the Analytics Department of Southeast Toyota Finance (SETF), a division of JM Family Enterprises, and will be responsible for developing solutions that drive improved efficiency and quantify portfolio performance in credit risk, residual risk, collection, and recovery. This individual should comprehensively understand consumer lending and the characteristics that drive performance and profitability. They must have excellent predictive modeling skills and be able to communicate how analytical solutions can positively impact the business effectively. The individual must know advanced statistical modeling techniques and software. Responsibilities include, but are not limited to: Work on advanced analytics projects to produce statistically sound operational, portfolio, behavior, and recovery models that drive actionable/implementable results under aggressive deadlines. Quantify and communicate the credit and residual loss exposure on SETF's retail and lease portfolios incorporating different economic scenarios and seasonal trends for budgeting and reserve purposes, including CECL models and forecasts. Develop and implement residual value models to determine accurate residual values for leased vehicles. Develop operational models to help quantify and control risk while increasing efficiency/automation. This includes developing, monitoring, and deploying origination and collection scorecards and strategies. Develop advanced machine learning and statistical models to solve complex business challenges. Communicate model results to stakeholders. Contribute to feature engineering strategies to enhance model performance. Stay updated on the latest advancements in machine learning and data science. Effectively communicate complex technical concepts to stakeholders. Create visually compelling PowerBI visualizations to aid decision-making. Use advanced AI in new areas of the business. Manage the full modeling lifecycle of forecasting models, ensuring compliance with regulatory environments. Work on end-to-end modeling processes, including data procurement, model estimation, implementation and deployment, and monitoring and testing. Provide insights from the models and modeling exercises to support business risk management and strategies. Provide comprehensive portfolio tracking, analysis, reporting, and forecasting. Provide detailed explanatory analysis and make recommendations to senior management; Proactively identifying risks and opportunities based on current trends and future outlooks. Present credit and residual loss trends to the executive management team. Develop and/or enhance advanced reporting solutions: portfolio reporting, portfolio stability reports, and model monitoring. Collaborate with cross-functional teams, including accounting, finance, treasury, and other company stakeholders. Mentor junior team members. Qualifications: A Master's or Ph.D degree in statistics, data science, operations research, mathematics and/or other quantitative analysis is required 5+ years of financial, credit risk, and analytics resource management; indirect automotive lending experience and/or consumer lending preferred. Minimum of 5 years of statistical modeling and/or quantitative analysis experience; Experience in using Python, SAS, R, or any comparable statistical or data extraction software is preferred. Experience managing advanced modeling projects and collaborating well with other team members. Strong interpersonal and communication skills (verbal and written) Ability to diplomatically communicate findings across departments and to upper management. Ability to effectively operate with multiple priorities and changing directives. Self-motivated with the ability to anticipate department needs, discern work priorities, and meet deadlines. Forward thinker who actively seeks opportunities and proposes solutions. Must be a highly detailed process-driven individual who demonstrates success at building trust and influence while driving for results with and through people. #LI-AM1 #LI-HYBRID This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of JM Family. All work arrangements are subject to associate performance, business need and manager discretion, and may be revised as necessary. JM FAMILY IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER JM Family Enterprises, Inc. is an Equal Employment Opportunity employer. We are committed to recruiting, hiring, retaining, and promoting qualified associates without regard to age, race, religion, color, gender, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, gender expression, mental or physical disability, national origin, marital status, citizenship, military status, genetic information, veteran status, or any other characteristic protected by federal, state, provincial, or local law. DISABILITY ACCOMMODATIONS If you have a disability and require a reasonable accommodation to complete the job application process, please contact JM Family's Talent Acquisition department at talentacquisition@jmfamily.com for assistance. If you have an accommodation request for one of our recruiting events, please notify us at least 72 hours prior so that we may provide assistance.

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. This wouldn't be possible without the dedicated efforts of our technology teams who utilize and perfect our innovative technology solutions. High-performance proprietary development is the source of our success and competitive advantage at Belvedere, further fueling our passion for performance. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry. We place a high premium on defining, developing, and deploying high performance trading software using a team-based, holistic development approach. We look for passionate team members that excel and their contribution is critical to our continued success. Belvedere Trading is looking for a proven Senior Data Engineer to work directly with our trading desks to improve trading performance. This role will be instrumental in ensuring data availability, breadth, and reliability to make better trading decisions. A Senior Data Engineer will work directly with on-desk staff to architect robust and scalable analytical solutions. Our Data Engineers are responsible for data services, including ETL pipeline implementation, data warehouse architecture, data quality automation, and analytic visualization. We expect a Senior Data Engineer to need minimal guidance on architecture best practices and to communicate clearly to stakeholders across the organization. Team Belvedere is an environment where you will solve challenging problems that result from petabytes of high-fidelity data. We incrementally add value to our trading desk and, at the same time, design long-term architectures to scale. We seek someone passionate about data and who enjoys working in a fast-paced environment. What You'll Do Work with our traders to understand analytic needs to improve trading performance. Design and maintain a modular data architecture to facilitate and scale future analysis. Ensure high data quality for all analytical trading datasets. Hold other team members to data standards, including modular design, testing, and documentation. Hold other team members to visual standards, including modular design, testing, and documentation. Ensure technical solutions are simple and scale well for future use cases. What You'll Need Experience designing and developing big data warehouses and ETL pipelines. Proven knowledge of SQL and Python. Demonstrated ability to navigate and integrate data across multiple data platforms, including RDBMS, NoSQL, and Time Series. Experience with real time messaging systems, such as Kafka, Kinesis, and Pulsar, and with developing a stream processing framework, such as Flink or Spark, a plus. Proficiency in crafting high-performance BigQuery queries, optimizing for efficiency and scalability to handle large datasets effectively. Excellent verbal and written communication, analytical, and problem-solving skills. $150,000 - $225,000 a year Additionally, certain positions at Belvedere Trading are eligible for discretionary bonuses. Our employees have access to a variety of benefits, which can be found on our website here. Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders provide liquidity to the market through market-making activities in a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-evaluated, optimized, and improved to stay on top of the industry. This wouldn't be possible without the dedicated efforts of our technology teams who utilize and perfect our innovative technology solutions. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please.

Industry/Sector Not Applicable Specialism Deals Management Level Associate Job Description & Summary At PwC, our people in Deals, M&A - data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The Opportunity As part of the Deals; M&A - Tech & Data team you contribute to business consulting projects and understand the business deal transaction environment. As an Associate you focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You navigate multiple engagements, manage stakeholder expectations, and build relationships with clients. Responsibilities Contributing to client engagement and projects Understanding business deals & M&A transaction Consulting environments Navigating multiple engagements Managing stakeholder expectations Building relationships with clients Developing skills and knowledge in business consulting Enhancing quality through technology-enabled experiences Participating in project tasks and research What You Must Have Bachelor's Degree in Accounting, Business Administration/Management, Economics, Engineering, Finance, Management Information Systems, Computer and Information Science, Data Processing/Analytics/Science 2 years of experience in Deals, M&A - Tech & Data . What Sets You Apart Master's Degree preferred Certifications in database programming such as Oracle, MS SQL Server, etc. and/or data visualization certifications such as Tableau and PowerBI Certifications within cloud technology platforms such as AWS, Azure, GCP, etc. Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. Possessing analytics & problem-solving capabilities Proficiency with relational database models and writing SQL queries Experience with data visualization tools (e.g. QlikView, Tableau, Power BI) Basic understanding of key financial statements and accounting principles Ability to think critically about problems and apply analytics strategy 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. The salary range for this position is: $75,000 - $118,000, 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

Partiful's mission is to cultivate friendships through social events. We believe parties (and other social events) are the most effective way to meet new people and make friends. Our product helps you throw incredible events, starting with memorable party pages that make it easy to plan & communicate with guests - download the app to see how it works! We're building new ways to streamline planning, connect meaningfully in the real world, and make connections between friends-of-friends. Our ultimate vision is to power everything you do in-person with your friends, eliminating the friction of bringing your most memorable experiences to life. You can read more about our mission in The Washington Post, The New York Times, The Wall Street Journal, The Atlantic, Wirecutter, and USA Today. Partiful was also recently named Google's Best App of 2024, a Finalist for Apple's App Store Awards, and Apple's App of the Day (awarded twice in 3 months). The Role We're looking for a business-oriented data scientist to help us unlock the full value of our data, supercharge our growth, and guide our product roadmap. You'll work closely with leadership, product, and marketing to help define meaningful metrics, guide product decisions with insights, and empower the team to use data confidently. This role sits at the intersection of business intelligence, product analytics, and data governance-helping to build systems and culture that make data more accessible and actionable for everyone. We're an NY- based team with a hybrid in-person model, in the office 3 days a week. Our data stack is Amplitude, Hex (SQL, Python), BiqQuery, DBT, and Javascript (not required). What you'll do: Make key data decisions across the company Analyze large and complex datasets to derive actionable insights Monitor performance trends and conduct diagnostic analyses (e.g., why did registrations spike?) Collaborate closely the product team identify key benchmarks for new features, and analyze the performance of all aspects of the product Provide data-driven recommendations and run experiments to support product development, user engagement strategies, and business growth Own the data dictionary and support a culture of data literacy across teams Maintain the Amplitude taxonomy and ensure it's reliable, documented, and intuitive Identify and execute on opportunities to improve our data infrastructure, processes, and tooling Provide regular updates and insights to help the company stay informed on progress towards our goals What you'll bring: A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field 2-4 years of experience in data science or a related role Experience in consumer is preferred Fluency in SQL and Python (Javascript a plus) Experience with machine learning frameworks and libraries Familiarity with data tools such as Amplitude, DBT and Hex Experience using data to drive business decisions; care about not just what the numbers say, but how we use them to make better decisions Experience communicating complex data findings in a clear and concise manner to non-technical stakeholders Ability to collaboratively with others User empathy Ability to elegantly structure and decomp complex data problems Comfort with ambiguity Pattern of taking initiative, working independently, and thriving in fast-moving environments Ability to put ego aside when making decisions What we offer: 401(k) with up to 6% matching Comprehensive health, dental, and vision insurance for you and all your dependents (FSAs and HSA plans available) Free OneMedical membership, telehealth, and virtual mental health services Commuter benefits & contributions towards ClassPass and Citibike memberships Unlimited vacation (minimum 3 weeks required) Quarterly stipend to plan your own party and dogfood the product Semi-annual travel benefit & semiannual team off-sites Get invited to exclusive parties In your application, please include a note on what's got you excited about Partiful! The compensation range for this role is $140,000-$160,000 depending on years of experience. We're an equal-opportunity employer and strongly encourage applicants from traditionally underrepresented backgrounds to apply. We're proud to be a diverse team, and actively work to bring new perspectives to the table.

Position Summary Provide data analysis support to stakeholders to maximize mutual trust and strategic execution by enabling business and market insights. Role and Responsibilities MULTIPLE POSITIONS AVAILABLE Company: SAMSUNG ELECTRONICS AMERICA, INC. Position Title: Engineer II, Data Analysis Location: 85 Challenger Road, Ridgefield Park, NJ 07660 Job ID: SAM9441229 Position Responsibilities: Provide data analysis support to stakeholders to maximize mutual trust and strategic execution by enabling business and market insights. Manage e-commerce dashboards and reporting including design, data modeling, capabilities, automation, and templates. Support the foundational projects connecting to insights platform, especially around data management and design, data warehousing, optimizations, and best practices to enable insights and actions from stakeholders. Work with issues owners to track high-level progress, driving accountability, and resolve issues across ecommerce. Understand S.com journeys - ensure data and systems are developed with the relevant functions that generate win-win that will allow s.com to connect the dots and identify and prioritize opportunities to improve and create processes. Learn S.com operations across different lines of business and leverage those understandings to ensure the direction of projects and activities support stakeholder needs. Perform ad hoc analyses to identify opportunities and develop actionable recommendations through a rigorous, datadriven process. Work proactively to uncover areas within the business to drive performance improvements to unlock productivity and accelerate execution. Position Requirements: Master's degree in Computer Science, Statistics, Business Intelligence and Analytics, or a related field. Must have knowledge in regression, classification and clustering techniques; retrieving data from various sources, and manipulating data for business reporting; implementing machine learning algorithm for problem solving; and planning and gathering business requirements, identifying and solving data issues. Hours: Full Time, 40 hours/week. Salary Range: $149,500/year to $224,500/year #LI-DNI Skills and Qualifications Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

The Senior Data Center Capacity Engineer at CyrusOne is a critical and strategic role responsible for the precise management, optimization, and monetization of our data center's core resources: space, power, and cooling. Leveraging our advanced Data Center Infrastructure Management (DCIM) platform as the primary tool, this role ensures accurate resource allocation, maximizes billable capacity for rent recovery, and provides granular visibility into client power consumption. This position is vital for maintaining operational efficiency, ensuring revenue accuracy, and supporting seamless client growth. Responsibilities: DCIM Platform Ownership & Administration (Primary Focus): Serve as the primary subject matter expert and administrator for CyrusOne's DCIM platform, Nlyte Ensure the DCIM platform's data integrity, accuracy, and reliability, including asset mapping, power metering, sensor readings, and connectivity information for all colocation assets Configure, maintain, and troubleshoot DCIM modules, dashboards, reports, and integrations with other operational systems (e.g., BMS, ticketing systems) Lead DCIM platform upgrades, patches, and feature enhancements in collaboration with IT and vendor support Develop and implement best practices for DCIM data entry and maintenance across operations teams Capacity Planning & Optimization: Conduct real-time monitoring and historical analysis of space, power, and cooling utilization across all data center halls, cages, and racks using the DCIM Develop accurate, data-driven forecasts for future capacity requirements based on sales pipelines, client growth projections, and technology trends Identify and strategize the utilization of "stranded" or underutilized power, space, and cooling to maximize billable capacity and rent recovery Perform "what-if" scenarios and simulations within the DCIM to assess the impact of new deployments and infrastructure changes Recommend and implement solutions for optimizing physical layouts, power distribution, and cooling strategies to enhance efficiency Client Power Consumption & Rent Recovery: Design, implement, and maintain processes for precise tracking and measurement of individual client power consumption via the DCIM Generate accurate, validated power consumption reports from the DCIM for monthly client billing and reconciliation Collaborate with Finance and Billing teams to ensure alignment between DCIM data and invoicing processes, supporting accurate rent recovery Monitor client power usage against contracted allocations, identifying overages or underutilization, and supporting appropriate action Reporting & Analytics: Develop and deliver comprehensive capacity reports, dashboards, and key performance indicators (KPIs) to leadership, sales, finance, and operations teams Provide insights into capacity trends, potential bottlenecks, and opportunities for efficiency improvements and revenue growth Support client-facing teams with capacity-related data for proposals, solution design, and ongoing client communication Collaboration & Strategic Support: Work closely with Sales, Solutions Architects, Data Center Operations, Facilities, and Finance teams to align on capacity strategies and support business objectives Participate in strategic planning for new data center builds, expansions, and infrastructure upgrades, providing critical capacity insights Act as a technical resource for capacity-related issues, providing expert guidance and problem-solving Qualifications: 10+ years of progressive experience in data center operations, capacity planning, or infrastructure management, with a strong focus on DCIM platforms Demonstrable expert-level proficiency with at least one major DCIM software platform (e.g., Nlyte, Vertiv Environet, Schneider Electric EcoStruxure IT, Sunbird dcTrack, etc.) Proven experience with power metering, PDU management, and understanding of electrical distribution within a data center environment Strong understanding of data center cooling principles and technologies (CRACs, CRAHs, hot/cold aisle containment) Experience with data analytics, reporting tools, and database concepts Excellent analytical, problem-solving, and communication skills (written and verbal) Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment Familiarity with IT infrastructure (servers, networking, storage) concepts. Experience in a colocation data center environment preferred Knowledge of scripting languages (e.g., Python, PowerShell) for data extraction or automation preferred Experience with financial reporting related to IT infrastructure costs preferred Hybrid Role. Ability to travel up to 15% Education / Certifications: Bachelor's degree in Engineering (Electrical, Mechanical, Industrial), Computer Science, Information Technology, or a related field DCIM certification or other relevant industry certifications (e.g., CDCP, CDCS) are a plus CyrusOne is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. CyrusOne provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. We will respond to requests for reasonable accommodations to assist you in applying for positions at CyrusOne, or to submit a resume.

Job Description Summary Responsible for multiple software projects as a project leader or internal consultant. Will work on highly complex software projects that require in-depth domain knowledge or two or more specialized architecture areas. Job Description Roles and Responsibilities: In this role you will: Participates in the data domain technical and business discussions relative to future architect direction. Assists in the analysis, design and development of a roadmap, design pattern, and implementation based upon a current vs. future state in a cohesive architecture viewpoint. Gathers and analyzes data and develops architectural requirements at project level. Participates in the Data Governance Council. Supports the development data and data delivery platforms that are service-oriented with reusable components that can be orchestrated together into different methods for different businesses. Researches and evaluates emerging data technology, industry and market trends to assist in project development and/or operational support activities. Coaches and mentors team members. Effectively monitor and control costs in the organization Minimum Qualifications: Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with a minimum of 4 years of experience Eligibility Requirement: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: Technical Expertise: Ability to consult customer on alignment of outcomes and desired technical solutions at an enterprise level Ability to Analyze, design, and develop a software solution roadmap and implementation plan based upon a current vs. future state of the business. Working knowledge of configuration choices and related cost implications; Experience with complex solution configurations. Knowledgeable of full range of solution catalog within a business unit and able to discuss overall solution at depth. Experience sustaining operational stability through various life cycle phases (planning, implementation, steady state, de-commissioning); Ability to provision and budget via capital and operating. Able to lead early stage customer interactions; Guide customers as they develop confidence and comfort with approaches, and integrate with their legacy tech investments. Business Acumen: Adept at navigating the organizational matrix; understanding people's roles, can foresee obstacles, identify workarounds, leverage resources and rally teammates. Understand how internal and/or external business model works and facilitate active customer engagement Able to articulate the value of what is most important to the business/customer to achieve outcomes Able to produce functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts. Possess extensive knowledge of full solution catalog within a business unit and proficiency in discussing each area at an advanced level. Six Sigma Green Belt Certification or equivalent quality certification Leadership: Demonstrated working knowledge of internal organization Foresee obstacles, identify workarounds, leverage resources, rally teammates. Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel. Demonstrated Change Management /Acceleration capabilities Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels Proven analytical and problem resolution skills Ability to influence and build consensus with other Information Technology (IT) teams and leadership Note: The salary range for this position is $110,700 - $160,000 USD Annual. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate's experience, their education, and the work location. In addition, this position is eligible for a performance bonus/variable incentive plan. This posting is expected to close on July, 25th, 2025. GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

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

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

About Attain Built for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset-their data-in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising. At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem-whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You'll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday. About the Role We're looking for a sharp, entrepreneurial Product Manager to drive the strategy and execution of our end-to-end data ecosystem, from ingestion to insight. This role will steward our consumer-permissioned data set, ensure its integrity and accessibility, as well as translate that data into meaningful products for advertisers, agencies, publishers and internal stakeholders. You'll work cross-functionally with engineering, data science, design, sales and compliance to build and scale the internal platforms and external-facing data products that power our business. You will help manage data ingestion pipelines, collaborate with third-party vendors, and deliver data feeds to external clients; while also supporting our internal Audience, Measurement and Insight teams with insights, attribution models and reporting. You'll report to the Senior Director of Product for our Data Platform, and collaborate closely with other Product Managers across our data and consumer applications. Preferred Qualifications 3+ years of product management experience, ideally in a startup or high-growth tech environment building products from ideation to launch Experience building or managing data products, measurement tools, attribution models or clean rooms in AdTech, MarTech or Consumer Data Strong technical fluency - you can talk APIs, SQL, ETL, and know your way around cloud infrastructure (AWS, GCP) Analytical mindset with strong attention to detail - you enjoy digging into messy data and making it useful Proven experience of applying data quality, governance tools and methodologies Strong communication and storytelling skills - you can translate data complexity into user value Ability to manage offshore or cross-functional teams to deliver on high-stakes projects Familiarity with tools like Looker, Tableau, DBT, and data cataloging platforms Understanding of retail or CPG data structures (UPCs, SKUs, taxonomies) What a typical week might look like Write requirements for products and features along a roadmap that aligns with the company's strategy Own the lifecycle of our consumer-permissioned dataset - from ingestion and cleansing, to application and reporting Design and manage internal data infrastructure - tools and processes for secure, scalable and high-quality data storage and access Collaborate with engineering and data science to automate ingestion, apply machine learning to enrich and organize data, and ensure data quality and reliability Partner with compliance and legal to ensure all data collection, storage, and usage practices meet regulatory requirements and best practices Act as the voice of the customer - both internal and external - to guide product requirements, prioritize roadmap, and validate data and insights use cases Lead relationships with third-party data vendors and support data onboarding and validation efforts Support go-to-market efforts with Sales and Partnerships by providing product knowledge, insights, and commercial strategy input We're excited to hear from you. At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn't match every detail of the job description. If we don't see something that immediately fits, we will keep your resume on file for future opportunities.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning. Position Description As a Senior Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. Our team thrives and succeeds in delivering high quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data processing and pipeline development to dimensional data modeling and reporting. Position Responsibilities As a Senior Engineer, you will: Scope, design, and build scalable, resilient distributed systems Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions Use your technical expertise to shape product definitions and drive towards optimal solutions Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization Engage in cross-functional collaboration throughout the entire development lifecycle Manage data pipelines, ensuring consistent data availability Mentor other engineers Consistently share best practices and improve processes within and across teams Qualifications Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes) Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred) Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines Experience architecting and designing new ETL and BI systems Experience with supporting existing ETL and BI systems Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions Ability to balance the competing needs of multiple priorities and excel in a dynamic environment Advanced understanding of DevOps concepts including Azure DevOps framework and tools Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication) Understanding of microservices oriented architecture and REST APIs and GraphQL Advanced understanding of data quality monitoring and automated testing Strong problem-solving ability Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred Experience 4+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies 3+ years of experience with data architecture and design 3+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience with ETL and/or BI tools 2+ years of experience in Big-data tools like Spark and Databricks Education Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience Annual Salary $95,000.00 - $215,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit CIBC.com What you'll be doing As a member of the U.S. Data Strategy team, you'll work in a fast-paced environment where you will be responsible for the detailed technical design and development of applications using various technology platforms. The role performs tasks of technical depth and breadth, utilizing a solid understanding of business dynamics to conduct impact analysis and provide feedback on problems with recommended solutions. The Data Engineer determines methods and approaches to projects, transforming business requirements specifications into programming instructions, designing, coding and testing programs. In addition, the role plays a key role in the development and implementation of database management solutions, supporting the company's backup plans. The role uses judgement and autonomy on day to day tasks, exercising considerable latitude to conduct data source analysis and negotiate with users regarding requirements. You configure and Develop custom ETL Solutions to ingest data into Azure SQL Data Warehouse, code data quality and transformation logic for data movement within data warehouse, develop code to publish data from data warehouse to data mart for consumption by applications or BI tools. Additionally, design and develop SQL Server data objects including tables, schemas, views, functions and stored procedures. Designing and implementing data ingestion pipelines from multiple sources using Azure DataBricks Apache Spark and/or Azure DataBricks, developing scalable and re-usable frameworks for ingesting of data sets, integrating the end to end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times, working with event based / streaming technologies to ingest and process data is required. As a part of your role, you work with other members of the project team to support delivery of additional project components (API interfaces, Search), evaluate the performance and applicability of multiple tools against customer requirements, document and maintain data lineage, validate application code against unit and security tests, along with entitlement models. You work with Technical experts at the platform and enterprise levels to define custom and integrated software solutions, work in an agile SDLC and contribute from discovery to delivery of a feature and interface with business partners to understand requirements and present solutions within the capabilities of the enterprise. The Senior Data Engineer, also collaborates directly with stakeholders, end-users, Product Owners, Business Analysts, and functional partners- Data, Information Security, Identity Management, Compliance, Legal, and Risk and develops proofs of concept (PoC) as needed to evaluate product and technical strategies, while owning technical and functional specifications as needed CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 2 days per week on-site at our Chicago office, while other days may be remote. How you'll succeed Programming Skills- Develop, code and test end-to-end stack of applications. Review, analyze, and modify programming systems, including coding, testing, and debugging. Systems Implementation- Participate and conduct technical design, development, and integration of cross functional, multi-platform application systems. Troubleshooting and Technical Skills- Work closely with key business and technology partners to ensure that business and client impact issues are well understood and addressed. Ensure adherence to all regulatory and information security standards and policies are maintained in all aspects of the application management. Provide technical guidance concerning business implications of application development projects. You are able to document and tell a 'story' for a technical recommendation from framework to feature level and possess an outstanding DevOps practices for environment management and integrity, security, pipeline management, code integrity, compliance, release management. Solid execution of practices for Jira/Azure DevOps Taxonomies, Story Writing, Story Pointing, Velocity measurement. Relationship Management- Build strong relationships and partnerships with technical team members, clients, vendors and peers. Lead discussions, listen and ask the right questions to ensure problems/issues are identified and resolved. Express oneself and communicate with others verbally at an advanced level; recognizing that verbal communication is more than just language - it includes tone, style and structure. This incumbent is also an expert communications with c-suite and key technical partners for development tollgates and governance forums. Who you are You have a degree/diploma in Computer Science, Engineering, Management Information Systems, or a related field of study. You demonstrate 5+ years of experience as a Development Lead on Data Applications with a strong knowledge of approaches, tools, techniques and roles and responsibilities in providing technical or business guidance to business and technical partners. You possess a proficiency in the Data technology stack, including ETL, Azure SQL and REST APIs, an expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS along with a hands on experience in performance tuning and optimizing code running in DataBricks, Talend or similar ETL tools. You are proficient in programming languages like PySpark and Python and possess a solid understanding of SQL, T-SQL and/or PL/SQL. You must demonstrate analytical and problem-solving skills particularly those that apply to a big data environment and have a hands on experience designing and delivering solutions using the Azure Data Analytics platform (Cortana Intelligence Platform) including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics. Additionally you have an exposure to Integration and BI Tools such as Tableau, Cognos or Power BI with significant automation experience. It is also an asset if you have a Microsoft Azure Big Data Architecture certification You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of a team that enjoys working together to create a shared vision. You put our clients first. Passion for client service- You want the work you do each day to result in a positive client experience. You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way. You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best. Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard. You're passionate about people. You find meaning in relationships and build trust through respect and authenticity and enjoy being a team member. Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability. California residents - your privacy rights regarding your actual or prospective employment At CIBC, we offer a competitive total rewards package. This role has an expected salary range of $110,000.00 - $130,000.00 for the Chicago market based on experience, qualifications, and location of the position. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which may also include a discretionary bonus component. CIBC offers a full range of benefits and programs to meet our employee's needs; including Medical, Dental, Vision, Health Savings Account, Life Insurance, Disability, and Other Insurance Plans, Paid Time Off (including Sick Leave, Parental Leave and Vacation), Holidays and 401(k), in addition to other special perks reserved for our team members. This position does not offer visa sponsorship. #LI-TA What CIBC Offers At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck. We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program. Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients. We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development. Subject to plan and program terms and conditions What you need to know CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit. We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us. Job Location IL-70 W Madison St, 10th Fl Employment Type Regular Weekly Hours 40 Skills Analytical Thinking, Application Development, Applications Programming, Collaboration, Data Warehousing (DW), DevOps, Emerging Technologies, ETL Tools, Mentoring Staff, Microsoft Azure, Microsoft Azure Databricks, Microsoft Azure SQL Database, PySpark, Python (Programming Language), Spark SQL, Structured Query Language (SQL), Teamwork, Technical Designs, Work Collaboratively

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Product Manager- Technical- Finance Modernization Mastercard Overview Mastercard is seeking talented professionals to join our team and contribute to our mission of connecting and powering an inclusive, digital economy that benefits everyone, everywhere. Our ideal candidate thrives in a collaborative environment, embraces challenges, and is committed to achieving excellence. If you are ready to advance your career and be part of a forward-thinking company that values creativity, dedication, and professional growth, we invite you to explore this exciting opportunity with Mastercard. Role Overview Mastercard is on a journey to modernize and advance our Finance Technology landscape. As a Senior Data Product Manager- Technical, you will leverage your background in data product management to align requirements with business objectives and enhance data-driven decision-making. You will work closely with stakeholders across the Finance Data framework lifecycle, from conceptualization to launch. This role requires a blend of technical expertise, strategic vision, and practical execution to drive enterprise-wide change in finance technology. This is an exciting opportunity to shape the future of finance technology and lead an impactful modernization journey. If you are passionate about driving change and delivering value in a fast-paced environment, we encourage you to apply. Responsibilities As the Senior Data Product Manager- Technical, you will be responsible for the following: Collaborate closely with technology and business stakeholders to identify, prioritize, and refine data product requirements. Translate business needs into technical specifications and ensure alignment across teams. Support the development and execution of the roadmap for data products within finance technology modernization, aligning with business goals and driving measurable business outcomes. Decompose business requirements into user stories, feed engineering a well-groomed backlog of user stories, prioritize the backlog, and define the acceptance criteria. Use customer feedback, business input, research, metrics, and industry analysis to inform requirements and continuously optimize the backlog. Ensure alignment with user experience design, monitor feature development, and adjust as needed during implementation. Recommend trade-off decisions on data product features/depth of features/backlog items. Clear communication of technical requirements to the development team and development concerns to business stakeholders. Be able to speak the language of software development and product management. Owns and manages product documentation ensuring features and associated documentation are clear and easily consumable by other engineering teams. Identifies issues that will keep features from delivering on time and/or with the desired requirements and works with internal teams and customer service to identify, classify, and prioritize feature-level customer issues. Skills and Experiences Experience in data product management within the Tech, SaaS or FinServ industry. Demonstrated ability to understand and empathize with customer needs, backed by a track record of developing data frameworks and/or products. Experience defining and organizing customer objectives, goals, strategies and metrics. Experience converting customer use cases into actionable and testable backlogs, and owning prioritization. Strong ability to decompose business requirements into user stories, feed engineering a well-groomed backlog user story, prioritize the backlog, and define the acceptance criteria. Understands the technologies, architecture design and features that support customer jobs to be done and can contribute to technical discussions, decisions and strategy related to a product. Experience in agile delivery methodologies. Strong technical knowledge and capability. High degree of initiative and self-motivation with a willingness and ability to learn and take on challenging opportunities. Strong communication skills, both verbal and written, with strong relationship, collaborative and organization skills. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more. Pay Ranges O'Fallon, Missouri: $99,000 - $158,000 USD Miami, Florida: $99,000 - $158,000 USD New York City, New York: $119,000 - $190,000 USD

Work Flexibility: Hybrid Why ARA at Stryker? Our internal audit team is expanding, and we are looking for someone with data and digital skills to integrate data, technology and digital solutions across our department. As a member of our Assurance and Risk Advisory (ARA) department, you will have a crucial role in leveraging your skills to enhance our operations, improve risk management, and provide valuable insights to the organization. Your skills will contribute to taking ARA into the future by supporting the development, implementation, and scaling of digital initiatives that will be integrated throughout the internal audit lifecycle. You will have the chance to work with a dynamic and global team that supports the organization's strategy through customer focus and innovation. The Senior Data & Digital Analyst will play a crucial role in identifying opportunities and implementing automation, data-driven insights, and process improvements across internal audit projects. This individual should possess a strong digital acumen and effectively apply a digital mindset to internal audit projects and other activities, thereby contributing to the continuous upskilling of the internal audit department. Additionally, having a solid foundation in internal audit principles, methodologies, and practices is a plus. This hybrid role can be based out of our Mahwah, NJ; Portage, MI or Flower Mound, TX offices. This person will be required in office 1 day a week and have the flexibility to work from home the other days. Who We Want Problem solvers. Innovative thinkers who are excited to find a way to overcome a challenge or accomplish a new task. Dedicated achievers. People who thrive in a fast-paced environment and will stop at nothing to ensure business goals and objective are met Effective communicators. Can analyze and synthesize data/information for insights and communicate them in a consumable way for decision making What You Will Do Use analytics and automation tools to efficiently gather, analyze, and interpret datasets, enabling the identification of trends, anomalies, and patterns that enhance the effectiveness and depth of audit procedures. Design and deliver dynamic dashboards, analytic models, and reports to effectively communicate results and key findings to stakeholders. Integrate and analyze multiple disparate data sources from a variety of systems. Continuously monitor and evaluate emerging technologies such as GenAI to identify opportunities for innovation and enhancement within audit processes. Support ongoing enhancement and optimization of the ARA department by supporting activities that align with ARA's data and digital strategy. Stay up-to-date and proactively share ways of using emerging technologies and applying industry best practices to enhance audit processes. What You Need Required: Bachelor's degree in relevant field (e.g., accounting, finance, business administration, business analytics, computer science, data science or other relevant information systems degree) 2+ years of professional experience Experience in database management and coding (e.g., SQL) Preferred: Experience creating dashboards using tools such as Power BI, or similar platforms Digital technology certifications (e.g., Microsoft Power BI Certification). AuditBoard experience $69,100 - $139,600 salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location. Individual pay is based on skills, experience, and other relevant factors. Travel Percentage: 10% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.