Auto-apply to these data entry jobs

This position is on-site 2-3 days in Philadelphia About Proscia Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. We started Proscia to accelerate pathology's transition from microscope to images, and to use AI to change the way we think about cancer. We can't change medicine alone. That's why we're looking for curious thinkers. Big dreamers. Developers, evangelists, pathologists, and scientists. Exceptional talent to help us use AI for good and advance humankind. At Proscia, we push the limits of medicine and technology, solving problems the world has never solved before. We build software used by thousands of scientists and pathologists, who work on the front lines of fighting cancer for patients globally. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors. About this Position As a Senior Data Engineer, you will contribute to Proscia's growing Real World Data (RWD) business, which operates as a "startup within a startup." In this entrepreneurial environment, you will help build and scale innovative data solutions that drive better outcomes for cancer patients and support cutting-edge research into therapies and drug regimens. Success in this role requires independence, adaptability, and close collaboration with cross-functional teams while maintaining alignment with broader engineering initiatives. What You'll Do Working at a startup like Proscia means wearing many hats, but when you come to work, you can expect to focus on the following: Develop and refine data pipelines in collaboration with the RWD team and customers, ensuring seamless extraction, transformation, and loading (ETL) of data from customer systems into Proscia's repositories. Work independently to identify and implement process improvements, such as automating manual data migration tasks to accelerate data flows. Design, build, and optimize API integrations, including REST and event-driven/pub-sub architectures, to enable real-time data ingestion, transfer, and quantification. Modify and create Python scripts to allow customers to efficiently upload data, including images, metadata, and other formats. Architect data models, data warehouse design patterns and scalable database solutions to support rapidly growing data while ensuring efficient performance and metadata processing. Collaborate with cross-functional teams, including the core engineering and AI teams, to align technical strategies and ensure seamless integration of RWD solutions with the larger Proscia platform. Operate with a startup mindset, contributing to the RWD team's agility and entrepreneurial spirit while delivering high-impact results. What We're Seeking We're looking for people who are smart, nice, and get stuff done. Proscia thrives on entrepreneurial thinkers who excel in fast-paced, challenging environments and are ready to build the plane while flying it. Our ideal candidate has: 3-5+ years of professional experience with Python scripting for data management. 3+ years of experience with detailed knowledge of data warehouse technical architectures. Strong analytical skills and attention to detail, with a proactive approach to solving problems. Experience with JavaScript and familiarity with modern frameworks (preferred). Proficiency in SQL and/or PostgreSQL. Hands-on experience with REST API development and integrations. Experience in cloud platforms, particularly AWS (preferred). Expertise with Snowflake or similar data warehouse platforms Software engineering principles testing (definition of unit tests, integration tests), setting up CI/CD pipelines and experience with containerization technologies like Docker and orchestration tools like Kubernetes. The ability to work independently within a cross-functional team and coordinate effectively across other engineering teams to design and implement high quality data pipelines. A Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering (Master's degree preferred). Experience working in the life sciences/biopharmaceutical industry is a plus. Beyond Just Work At Proscia, we want our people to thrive inside and outside the office. Along with competitive pay, we provide comprehensive benefits, flexible schedules, and insurance options to promote long-term health and personal growth. Our creative, collaborative office environment in Philadelphia is designed for agility, complete with writable walls and breakout spaces. Remote teammates stay connected through innovative collaboration tools and regular opportunities for in-person interaction. We celebrate diversity and foster a culture where everyone belongs. Proscia is proud to be an equal-opportunity workplace.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Warehouse Architect to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical leader, responsible for designing and delivering modern data warehouse solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data architecture, cloud platforms, and public sector modernization. The Data Warehouse Architect will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives. Client Leadership & Delivery Serve as a trusted technical advisor to FCA clients on data architecture and modernization strategy. Lead engagements from assessment through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business and technical requirements into actionable data warehouse solutions using platforms such as Databricks, Tableau, and Azure/AWS/GCP. Solution Development & Innovation Architect and implement scalable data pipelines and models using Databricks and other modern platforms. Rationalize legacy BI environments and design future-state architectures aligned with client goals. Ensure compliance with federal data governance, security, and performance standards. Practice & Team Leadership Mentor and guide multidisciplinary teams including data engineers, analysts, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum SEVEN (7) years of experience in data architecture, data engineering, and analytics. Minimum FIVE (5) years of experience delivering data-driven transformation programs. Strong understanding of data platforms including Databricks, Tableau, and cloud environments (Azure, AWS, GCP). Demonstrated experience supporting the business development lifecycle, including capture and proposal activities. Proven track record of leading large-scale data modernization efforts from concept to execution. Ability to collaborate across technical and business audiences, from C-suite to engineering teams. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree. Certifications in AI/LLM or cloud data platforms. Experience working with FCA clients such as DOT, GSA, USDA, or similar. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

The Opportunity Join our dynamic team as a Data Software Engineer - Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability. The Team You'll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security. Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment. Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform. Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes. Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability. Optimize data workflows for performance and cost-efficiency in the cloud. Drive the implementation of Operational Data Store (ODS) patterns and integrate with downstream data warehouse and analytics layers. Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule. Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake). Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts. Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions. Participate in roadmap planning and contribute to long-term data platform strategy and technology selection. Ensure compliance with data governance, security, and operational standards across all engineering activities. The Minimum Qualifications Bachelor's in Computer Science, Engineering or related technical field 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment 2+ years experience in Python, SQL, and automation scripting 2+ years experience with containerization (Docker, ECS, EKS) The Ideal Qualifications Master's degree in Computer Science, Engineering or related field AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer). Knowledge of streaming data technologies (e.g., Kinesis, Kafka) Exposure to data lake and data warehouse architectures Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus) Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow) Demonstrated experience working with global delivery teams and cross-functional stakeholders Strong communication skills with a proven ability to work across functional teams Experience with data lake architecture, data governance frameworks, and modern metadata management Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas) Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA) Exceptional communication and interpersonal skills Ability to influence and motivate teams without direct authority Excellent time management and organizational skills, with the ability to prioritize multiple initiatives #LI-RK1 Salary Range: $134,400.00-$176,400.00 At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. Why Join Us. We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

The Enterprise Data Management (EDM) organization is responsible for Neuberger Berman's VantageIQ data platform, the foundation of the firm's data product and analytics strategy. We are seeking a senior data cloud engineer to lead the design, development, and deployment of scalable, reusable data pipelines and data products, with a focus on building semantic data layers to empower business stakeholders and AI-driven analytics across the asset management domain. The successful candidate will collaborate closely with business and technology teams to translate complex data requirements into robust, cloud-native engineering solutions, leveraging modern data engineering practices and advanced automation frameworks. Responsibilities: Partner with business stakeholders and technology teams to gather and analyze requirements, identify data engineering challenges, and translate them into robust data pipeline and data product solutions. Architect, develop, and maintain scalable data pipelines and semantic data layers in Snowflake, dbt, and other cloud-native platforms, ensuring modularity and reusability across diverse analytics and AI initiatives. Design and build semantic layers to enable self-service analytics, advanced reporting, and seamless integration with AI-powered data analyst solutions. Develop and optimize ETL/ELT workflows using modern data stack technologies (e.g., dbt, Python, Snowflake), ensuring high reliability, scalability, and performance. Integrate and automate AI data analyst capabilities on top of semantic data layers and data products, driving innovative use cases for insight generation and business automation. Enhance data models (relational, dimensional, and semantic) to support advanced analytics, and AI driven data applications. Contribute to the evolution of data platform architecture, including data fabric and centralized data access automation. Promote and uphold data engineering best practices, standards, and data governance throughout the organization. Implement CI/CD pipelines and best practices for data engineering assets, supporting robust deployment, monitoring, and version control. Collaborate cross-functionally with Data Governance, Data Platform, and AI teams to deliver high-impact data solutions. Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field. 10+ years of experience in data engineering, cloud data platform development, or analytics engineering roles. Deep experience designing, building, and optimizing data pipelines, semantic layers, and cloud-native data products, preferably Snowflake, dbt, Dremio. Advanced proficiency in SQL and Python with extensive hands-on experience with modern data engineering tools and frameworks such as Spark, Airflow, and cloud-native services (Snowflake, AWS) Experience developing and deploying containerized data solutions using Docker and Kubernetes would be preferable. Proven ability to architect and maintain semantic data layers, ETL/ELT workflows, and integrate cloud data platforms for AI and analytics use cases. Familiarity with semantic layer concepts, data modeling (relational, dimensional, and semantic), and AI enablement on data products. Experience with data fabric architectures and centralized data access automation is a plus. Proficiency in enterprise technology tools such as Azure DevOps, Azure Git, and Airflow. Excellent attention to detail, organizational skills, and ability to prioritize work in a dynamic, deadline-driven environment. Demonstrated ability to take ownership, work independently and as part of a team, and continuously learn new technologies. Experience with BI/visualization tools (Tableau, Power BI) is a plus but not the primary focus. Nice to have: Experience with Trading / IBOR / ABOR systems like Statestreet, Aladdin, Charles River, etc. #LI-DD2 #LI- Hybrid Compensation Details The salary range for this role is $125,000-$165,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), life insurance and other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com. Learn about the Applicant Privacy Notice.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Warehouse Architect to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical leader, responsible for designing and delivering modern data warehouse solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data architecture, cloud platforms, and public sector modernization. The Data Warehouse Architect will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives. Client Leadership & Delivery Serve as a trusted technical advisor to FCA clients on data architecture and modernization strategy. Lead engagements from assessment through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business and technical requirements into actionable data warehouse solutions using platforms such as Databricks, Tableau, and Azure/AWS/GCP. Solution Development & Innovation Architect and implement scalable data pipelines and models using Databricks and other modern platforms. Rationalize legacy BI environments and design future-state architectures aligned with client goals. Ensure compliance with federal data governance, security, and performance standards. Practice & Team Leadership Mentor and guide multidisciplinary teams including data engineers, analysts, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum SEVEN (7) years of experience in data architecture, data engineering, and analytics. Minimum FIVE (5) years of experience delivering data-driven transformation programs. Strong understanding of data platforms including Databricks, Tableau, and cloud environments (Azure, AWS, GCP). Demonstrated experience supporting the business development lifecycle, including capture and proposal activities. Proven track record of leading large-scale data modernization efforts from concept to execution. Ability to collaborate across technical and business audiences, from C-suite to engineering teams. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree. Certifications in AI/LLM or cloud data platforms. Experience working with FCA clients such as DOT, GSA, USDA, or similar. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America's 100 million homes. We're all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and-ultimately-save time so they can be with their families and live well. We care deeply about our customers and foster a culture where our company, employees, and Pros grow and succeed together. Leadership is as focused on growing team members' careers as they expect their teams to be on creating solutions for Pros. Role Overview: As a Specialist, Data Operations at Housecall Pro, you're a meticulous data steward, ensuring the precision and completeness of our data. You are self motivated, with the ability to work autonomously. You're adept at identifying and resolving data anomalies, diving deep to tackle root causes. Your thirst for learning and commitment to accuracy make you an invaluable asset to our data operations team. Our team is patient, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success. What you'll be each day: Analyze source and quality of data, identify potential issues and develop custom data migration action plan Resolve data migration issues and provide technical support for the data migration process Communicate consistent trends and opportunities to our product/engineering team for future improvements Create and maintain internal and external process documentation Communicate client information, trends and feedback cross-functionally Innovate on current processes and proactively seek ways to improve the Pro experience Qualifications: Bachelor's degree preferred 2-4 years of full-time customer success, implementation, engineering or data implementation experience Intermediate knowledge and experience with Microsoft Office Suite with proficiency in Excel or Google Sheets Experience with SQL a plus Experience using or developing with conversational AI platforms (such as- ChatGPT, GPT-based tools, or other NLP models) a plus Demonstrated experience exceeding customer success or sales metrics Proven success working with cross-functional teams and building strong relationships internally and externally What will help you succeed: Meticulous attention to detail Excellent written/verbal communication skills Strong critical thinking and problem-solving skills Adaptability, drive, and a self-starting attitude Ability to excel in a fast-paced, team environment Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service. Housecall Pro's brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success. We support more than 40,000 businesses and have over 1,800 ambitious, mission-driven, genuinely fun-loving employees across the United States and all over the world. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we'd love to hear from you. Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. #LI-remote Location Dependent information This role is open to candidates and the expected compensation range for this role is $21.55-$25.35 / hour + 10% variable. The specific hourly rate for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro's the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we're scaling our team to help enable and accelerate our growth. Privacy Notice for California Job Candidates- Housecall Pro #LI-Remote

Benefits: 401(k) 401(k) matching Dental insurance Health insurance Paid time off Vision insurance Wellness resources Responsibilities Design robust and scalable data system architecture to collect, process, and store large volumes of data from IoT devices. Design and build data systems that support real-time, customer facing data applications, ensuring data integrity and efficient retrieval processes. Design and build a data validation framework to guarantee the accuracy and consistency of data across all stages of the pipeline, ensuring reliable insights and decision-making. Implement data architectures to continuously improve AI models through automated feedback loops and data collection processes. Optimize data processing workflows for AIoT tasks. Collaborate with product owners to translate data requirements into actionable data engineering solutions. Collaborate with other engineers, product owners to solve challenging problems. Evangelize software engineering best practices and lead by example. Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of proven experience in data engineering, with a strong focus on data warehousing and data system architecture. Expertise in design and build IoT data systems. Expertise in architecting that power high-volume consumer application. Expertise in big data and streaming technologies (Python, Java, Kafka, Spark,Spark Streaming). Expertise in moderen database technology (MongoDB, ElasticSearch, StarRocks, S3, Snowflake, Bigquery etc). Experience with data annotation tools and processes for machine learning datasets. Familiarity with MLOps practices and tools for managing AI model lifecycles. Knowledge about deploying systems into a production Cloud Native Environment (AWS or similar). Experience in Java Spring Framework is a plus Experience with video data handling and image processing is a plus Compensation: $120,000.00 - $180,000.00 per year Since 2019, Petlibro has designed products for the intertwined lives of pets and their people. From smart feeders with health insights to ultra-filtered automatic fountains, our award-winning products are engineered to magnify the bond between your pet and you. Designed better for your lives together

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Sr Director, R&D Data Science - Head, Data Products & Governance . This position has a primary location of Titusville, NJ but is also open to Spring House, PA, or Cambridge, MA. The position will require 25% travel. At J&J IM, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. J&J IM provides medicines for an array of health concerns in several therapeutic areas, including Oncology, Immunology, Neuroscience and Cardiovascular & Metabolism. Please visit Please visit https://innovativemedicine.jnj.com/ for more information. for more information. Job Summary The Sr. Director, Data Products & Governance leads the enterprise data foundation that powers J&J’s R&D—from Discovery and Translational through Development, Clinical, and Regulatory. This leader will build and operate the R&D data platform and governance program , develop the operating model, reusable data products (pipelines, features, embeddings), and deliver the controls, lineage, and catalog capabilities that make R&D data trusted, compliant, and AI-ready, while protecting J&J’s proprietary advantage. Managing specialized sub-teams (Data Governance; Solutions Architecture; Vector Data Engineering; Data Integrations & Engineering; Annotation & Cataloging; Compliance), this leader will unify data across domains, scale semantic/knowledge and embedding services, and institutionalize data governance. Key Responsibilities Provide thought leadership, management, and execution of strategic initiatives aimed at integration of data assets across the R&D Data Landscape Establish a strong data governance framework and culture to ensure data integrity, quality, and compliance. Partner with JJIT to map and integrate internal and relevant external data sources in the broader R&D data ecosystem (including Discovery, Development, Regulatory and T A s) into a unified architecture while protecting J&J’s proprietary data Make broader R&D data “AI-ready” through robust data engineering, standardization, and annotation ( e.g. using consistent ontologies and data models ) Create a sustainable pipeline of data-driven use cases with clear value, prioritized in line with strategic R&D priorities. Build the organizational capabilities (people, process, technology) needed to govern and scale this data strategy across the enterprise Communicate progress, challenges, and achievements to executive leadership. Offer actionable insights and recommendations to inform strategic decision-making and continuous improvement. Partner with JJT and technology stakeholders to evaluate and select cutting-edge solutions supporting Data Platform initiatives and processes. Strategic Impact Accelerate Portfolio Decisions: Shorten the “data-to-insight” cycle by delivering governed, reusable data products, features, and embeddings that enable rapid modeling and evidence generation Scale Advanced Data Readiness: Industrialize vector stores, knowledge graphs, and annotation pipelines to power semantic search and retrieval-augmented analytics across TAs. Unify the R&D Data Landscape: Establish a common semantic layer, ontologies, and master/reference data so Discovery, Development, Clinical, and Regulatory data interoperate. Qualifications Master’s or PhD in information management, Computer Science, Business Administration, or related field 12+ years in data platform/data engineering/governance leadership, with significant experience in pharma/biotech R&D or regulated domains. Prior leadership of multi-disciplinary teams and vendor/partner ecosystems Proven ownership of enterprise-scale data platforms and governance programs (federated models, stewardship, policy, and quality). Expertise in modern data architectures (lake/ lakehouse /data fabric or mesh), ETL/ELT & streaming, APIs, DataOps /automation, lineage/observability. Demonstrated experience with ontologies/metadata, master/reference data, and catalog tools. Strong grasp of GxP concepts and compliance frameworks (21 CFR Part 11/Annex 11), HIPAA/GDPR, de-identification, retention/archival. Exceptional stakeholder management and executive communication skills; Ability to influence and drive change in a complex organizational environment. Strong analytical and problem-solving skills, with the ability to assess and manage data-related risks. Leadership Competencies Strategic & Systems Thinking Operational Excellence Governance Mindset People & Culture Builder Outcome Orientation Risk & Compliance Stewardship Other : Travel – Less than 25% to conferences and key internal meetings Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: Crowe is looking for a Data Solutions Architect to be a leader on our team of problem solvers with extensive consulting and industry experience. The primary focus will be helping our clients solve complex business issues from strategy to execution. Specific responsibilities include but are not limited to: Serve as subject matter expert on Business Intelligence engineering platforms (Ex - Microsoft SQL Server, Azure Data platform, Snowflake, DBT) demonstrating platform capabilities and promoting application of toolset to address business needs and maximize the value realized from technology investment. Oversee the design and deployment of data pipelines, analytics platforms, and reporting frameworks that improve transparency and support decision-making. Utilize advanced analytics, machine learning, and statistical modeling techniques to detect anomalous activity and patterns in transaction data. Ensure data quality and integrity through best practices in data management and governance. Mentor and lead a team of data analysts and consultants, fostering a collaborative and innovative work environment. Provide technical guidance and career development opportunities to junior team members, ensuring high levels of performance and professional growth. Facilitate cross-functional collaboration among teams to integrate data-driven insights into broader business strategies. Keep abreast of evolving regulations and industry standards related to BSA/AML and financial crime prevention. Develop and implement frameworks that align with regulatory changes and help clients stay ahead of compliance requirements. Work with legal and compliance teams to translate regulatory requirements into actionable data analytics strategies. Contribute to proposals and presentations for potential clients, demonstrating expertise in data analytics and regulatory compliance. Represent the organization at industry events and conferences as a subject matter expert in data consulting for Bank Secrecy Act (BSA) and Anti-Money Laundering (AML). Drive internal innovation by identifying emerging technologies and methodologies that can improve service delivery. Participate in presales engagements to manage the vision and expectations of a client’s multiple stakeholders and create a conceptual solution design involving effort estimation, technical and functional solution, execution methodology, project plan, and team. Participate in the systems development process, including planning and monitoring systems development efforts, coordinating activities with other groups, reviewing deliverables and communicating status to the project manager and client. Lead and provide technical guidance and mentorship to other team members. Architect, implement, deploy, and support analytical databases and pipelines in an Azure environment. Create proofs of concepts as necessary for architectural vision, strategy, and tool evaluation. Document, diagram, and present complex/technical material that can be understood by a non-technical audience. Create and deploy accurate client architecture and analyses in a relatively short period of time. Qualifications Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, or a related field is required. Advanced degree (Master’s/Ph.D.) is preferred. Experience working in or consulting for financial services. In-depth understanding of Bank Secrecy Act (BSA), Financial Audits, or Anti-Money Laundering (AML) regulations and compliance requirements. At least 7–10 years of progressive experience in data analytics, consulting, or financial services; a strong background in banking and regulatory compliance implementations is desired. Proven track record in managing complex data projects and leading cross-functional teams. Experience in working with large datasets, data warehousing, and advanced analytics tools. 8+ years of hands-on experience in enterprise data warehouse and data lake implementations 5+ years of external client consulting experience 5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems 5+ years of team management experience (including offshore resources) 5+ years of experience leading multiple external client projects simultaneously 5+ years of preparing detailed external client project budget estimations with strong resource management capabilities 3+ years of in-depth experience in architecting, designing, and implementing complex data architectures on Azure including Azure Data Factory, Azure/Managed Instance SQL Server, Azure Logic App, and Azure Synapse Analytics Experience mentoring teammates or conducting technical training Possess integrity and a strong work ethic Strong analytical and verbal/written communication skills Certifications (Preferred) Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner). Preferred Skills and Experience Hands-on experience with comprehensive dimensional modelling and end-to-end data warehouse projects, including: requirements gathering infrastructure planning and deployment subject matter expert interviews logical and physical dimensional model design and development ETL/ELT development and maintenance model and data validation documentation Previous consulting experience or experience working with external clients Proficiency in analytics and statistical programming languages (e.g., Python, R, SQL). Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies. Familiarity with machine learning frameworks and cloud-based data platforms is advantageous Experience working on projects using agile development practices Azure experience: building landing zones, provisioning resources, establishing security is a big plus Key Stakeholders This Role Interacts With: Internal Senior BI Analyst Data Product Manager BI Architect / Senior Architect Data Engineers Analytics Developers (Power BI, Tableau) External C-Suite Executives (CEO, CFO, CIO, etc.) Clients Operations Leads and Mid-Level Managers Data Owners, Data Stewards Enterprise Information Management and Data Governance Team We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year. Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world. Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws. Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO. The program Capability Development & Management Support (CDMS) DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate. The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams. The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe. The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities. Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives. Role Duties and Responsibilities Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives. Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems. Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments. Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments. Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO. Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise. Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics. Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference. Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis. Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure. Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows. Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines. Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed. Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO-specific data policies and standards. Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems. Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO. Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy. Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics. Perform additional tasks as required by the Contracting Officer’s Technical Representative (COTR) related to the LABOR category. Essential Skills and Experience Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud-based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes). Demonstrated experience working with GenAI, in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization). Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent. Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery). Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions). Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards. Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders. Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures. Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams. Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects. Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts. Desirable Qualifications Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases. Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership. Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets. Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects. Eligibility for NATO security clearance and prior experience working with classified or sensitive data, including understanding security protocols for processing, handling, and securing such data. Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments. Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO’s ethical frameworks for AI deployment. Education A Bachelor’s degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR 4 years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last 5 years. Language Proficiency Advanced Proficiency in English Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration January 2026 – December 2030 Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

Experienced Product Data Management Engineer (Configuration & Data Management) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking an Experienced Product Data Management Engineer (Configuration & Data Management) (Level 3) to support the Systems Engineering Integration & Test (SEIT) Team in Hazelwood, MO . The successful candidate will be responsible for leading the implementation of overall configuration/Data Management processes as well as developing, establishing and executing the CM/DM processes within the DEE. Position Responsibilities Coordinates across the program to assure that CM/DM responsibilities are understood and deliveries are achieved in accordance with program requirements. Leads the development of new and innovative methods and technologies, for change management. Support the change process so that only approved and validated changes are incorporated into product documents and related hardware/software. Prepares configuration management documentation, e.g. CCB meeting/agenda/ minutes. Develops new and innovative approaches aligned with industry best practices for Identification management. Controlling/preparing baselines and preparing material for distribution and release. Responsible for defining and managing the configuration status accounting (CSA) activity. Tracks all problems and changes in product documents and hardware/software and reports changes and current configuration. Ensures proper archiving and audibility of product releases. Managing input and retrieval of data in the configuration management repository. Interfaces with Supplier management to assure CM/DM Supplier Statement of Work (SSOW) and Supplier Data Requirements List (SDRL) requirements are properly flowed to Suppliers. Collaborate with teams in the development, analysis, management and compliance verification of process and product baselines of complex products. Defines, plans, coordinates and conducts product and subsystem level technical design reviews and audits for new and derivative products. Analyzes complex product trades and/or changes and develops technically complete change proposals. Contributes to the development and implementation of Configuration and Data Management standards, processes and tools. Defines and allocates Configuration and Data Management requirements for product hardware, software and engineering design data systems throughout the product lifecycle. Coordinates the integration of product elements and analyzes & resolves issues with engineering product structure. Develops, integrates and implements engineering technical program plans including impacts, risks and incorporation of lessons learned spanning multiple engineering functions. Works under general direction. This position is expected to be 100% onsite. The selected candidate will be required to work onsite. Travel may be required up to 10% of the time; Domestically and/or internationally depending on business needs. This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required. (A U.S. Security Clearance that has been active in the past 24 months is considered active) This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. This position is contingent upon program award. Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 5+ years related work experience or an equivalent combination of technical education and experience Proficient in Product Data Management (PDM) and Bill of Materials(BOM) systems. Preferred Qualifications (Desired Skills/Experience) Demonstrated interest in personal learning and development as well as process improvement. Ability to accomplish tasks through formal channels and informal networks; an understanding of the cultures of organizations and ability to apply this information in a way that strengthens the organization's strategic plan and profitability. Attention to detail. Excellent spoken and written communication across organizations. Experience with Dassault MSOSA, Siemens TeamCenter, Siemens NX, Siemens OpCenter, and SAP S/4HANA Use of scripting to collect data Typical Education & Experience Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Drug Free Workplace Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Total Rewards At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $90,100 – $121,900 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Sr Director, R&D Data Science - Head, Data Products & Governance . This position has a primary location of Titusville, NJ but is also open to Spring House, PA, or Cambridge, MA. The position will require 25% travel. At J&J IM, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. J&J IM provides medicines for an array of health concerns in several therapeutic areas, including Oncology, Immunology, Neuroscience and Cardiovascular & Metabolism. Please visit Please visit https://innovativemedicine.jnj.com/ for more information. for more information. Job Summary The Sr. Director, Data Products & Governance leads the enterprise data foundation that powers J&J’s R&D—from Discovery and Translational through Development, Clinical, and Regulatory. This leader will build and operate the R&D data platform and governance program , develop the operating model, reusable data products (pipelines, features, embeddings), and deliver the controls, lineage, and catalog capabilities that make R&D data trusted, compliant, and AI-ready, while protecting J&J’s proprietary advantage. Managing specialized sub-teams (Data Governance; Solutions Architecture; Vector Data Engineering; Data Integrations & Engineering; Annotation & Cataloging; Compliance), this leader will unify data across domains, scale semantic/knowledge and embedding services, and institutionalize data governance. Key Responsibilities Provide thought leadership, management, and execution of strategic initiatives aimed at integration of data assets across the R&D Data Landscape Establish a strong data governance framework and culture to ensure data integrity, quality, and compliance. Partner with JJIT to map and integrate internal and relevant external data sources in the broader R&D data ecosystem (including Discovery, Development, Regulatory and T A s) into a unified architecture while protecting J&J’s proprietary data Make broader R&D data “AI-ready” through robust data engineering, standardization, and annotation ( e.g. using consistent ontologies and data models ) Create a sustainable pipeline of data-driven use cases with clear value, prioritized in line with strategic R&D priorities. Build the organizational capabilities (people, process, technology) needed to govern and scale this data strategy across the enterprise Communicate progress, challenges, and achievements to executive leadership. Offer actionable insights and recommendations to inform strategic decision-making and continuous improvement. Partner with JJT and technology stakeholders to evaluate and select cutting-edge solutions supporting Data Platform initiatives and processes. Strategic Impact Accelerate Portfolio Decisions: Shorten the “data-to-insight” cycle by delivering governed, reusable data products, features, and embeddings that enable rapid modeling and evidence generation Scale Advanced Data Readiness: Industrialize vector stores, knowledge graphs, and annotation pipelines to power semantic search and retrieval-augmented analytics across TAs. Unify the R&D Data Landscape: Establish a common semantic layer, ontologies, and master/reference data so Discovery, Development, Clinical, and Regulatory data interoperate. Qualifications Master’s or PhD in information management, Computer Science, Business Administration, or related field 12+ years in data platform/data engineering/governance leadership, with significant experience in pharma/biotech R&D or regulated domains. Prior leadership of multi-disciplinary teams and vendor/partner ecosystems Proven ownership of enterprise-scale data platforms and governance programs (federated models, stewardship, policy, and quality). Expertise in modern data architectures (lake/ lakehouse /data fabric or mesh), ETL/ELT & streaming, APIs, DataOps /automation, lineage/observability. Demonstrated experience with ontologies/metadata, master/reference data, and catalog tools. Strong grasp of GxP concepts and compliance frameworks (21 CFR Part 11/Annex 11), HIPAA/GDPR, de-identification, retention/archival. Exceptional stakeholder management and executive communication skills; Ability to influence and drive change in a complex organizational environment. Strong analytical and problem-solving skills, with the ability to assess and manage data-related risks. Leadership Competencies Strategic & Systems Thinking Operational Excellence Governance Mindset People & Culture Builder Outcome Orientation Risk & Compliance Stewardship Other : Travel – Less than 25% to conferences and key internal meetings Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : Additional Description for Pay Transparency:

The Data Engineering and Architecture team at UJA-Federation of New York is seeking an experienced Senior Data Engineer . The ideal candidate will bring strong expertise in Python development for data-intensive applications, coupled with familiarity in Azure DevOps practices and some familiarity with Infrastructure as Code (IaC) approach. This role involves building scalable data pipelines, improving data quality and reliability, and collaborating with cross-functional teams to support analytics, reporting, and machine learning initiatives.  Key Responsibilities Design, build, and maintain robust ETL/ELT pipelines and data workflows using Python.  Implement best practices for data architecture, modeling, and processing at scale.  Collaborate with team members to leverage Azure DevOps for CI/CD, release management, and automated testing.  Ensure compliance with data governance, quality, and security standards.  Mentor junior engineers and contribute to the growth of engineering best practices.  Partner with stakeholders (data scientists, analysts, business teams) to deliver reliable data solutions.  Qualifications 5+ years of professional experience in data engineering or related roles.  Strong proficiency in Python , with proven experience in data-focused frameworks (e.g., Pandas, PySpark, Dask, SQLAlchemy).  Hands-on experience designing and consuming RESTful APIs or GraphQL endpoints.  Solid understanding of cloud environments (Azure preferred).  Hands-on experience with Azure DevOps tools: pipelines, repositories, boards, and artifacts.  Proficiency in SQL and relational databases (e.g., SQL Server, PostgreSQL, MySQL).  Solid experience with data lakes and warehouses (Fabric Data Lakes and warehouses preferred).  Strong knowledge of CI/CD pipelines and version control (Git)  Excellent problem-solving, communication, and collaboration skills.  Preferred Skills Exposure to machine learning workflows and MLOps practices.  Experience using donor management systems (Salesforce NPSP in particular)  Knowledge of containerization a plus (Docker/Kubernetes).  Some familiarity with Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates is a bonus.  Reports To: Director, Technical Architect Salary Range: $90,000 - $100,000, commensurate with experience and qualifications listed above.  

The Opportunity Join our dynamic team as a Data Software Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability. The Team You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security. Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment. Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform. Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes. Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability. Optimize data workflows for performance and cost-efficiency in the cloud. Drive the implementation of Operational Data Store (ODS) patterns and integrate with downstream data warehouse and analytics layers. Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule. Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake). Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts. Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions. Participate in roadmap planning and contribute to long-term data platform strategy and technology selection. Ensure compliance with data governance, security, and operational standards across all engineering activities. The Minimum Qualifications Bachelor ’ s in Computer Science, Engineering or related technical field 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment 2+ years experience in Python, SQL, and automation scripting 2+ years experience with containerization (Docker, ECS, EKS) The Ideal Qualifications Master ’ s degree in Computer Science, Engineering or related field AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer). Knowledge of streaming data technologies (e.g., Kinesis, Kafka) Exposure to data lake and data warehouse architectures Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus) Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow) Demonstrated experience working with global delivery teams and cross-functional stakeholders Strong communication skills with a proven ability to work across functional teams Experience with data lake architecture, data governance frameworks, and modern metadata management Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas) Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA) Exceptional communication and interpersonal skills Ability to influence and motivate teams without direct authority Excellent time management and organizational skills, with the ability to prioritize multiple initiatives #LI-RK1 Salary Range: $134,400.00-$176,400.00 At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. Why Join Us. We’ve been around since 1851. During our history, we’ve learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It’s more than our company structure – it’s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products- Neuroscience. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products- Neuroscience is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Neuroscience Therapeutic Area (TA). This role ensures that high-value internal and external Neuroscience data assets-including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)-are standardized, productized, and integrated into Janssen's enterprise R&D data ecosystem. Working closely with Data Science teams, Neuroscience TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Neuroscience data products fill business requirements, such as being AI-ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Neuroscience-facing data products Define and maintain a roadmap for Neuroscience data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through, agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliver integration of internal and external Neuroscience data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of a Neuroscience Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Neuroscience Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Neuroscience data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Neuroscience Data Science, clinical, translational, and commercial Neuroscience stakeholders to co-create solutions that maximize the value of Neuroscience data assets. Interface with regulatory and compliance teams to ensure Neuroscience data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Neuroscience data domain experts aimed at delivering data products to Neuroscience. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Neuroscience data products. Value Realization & Communication Define and track KPIs to measure the impact of Neuroscience data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Neuroscience leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Neuroscience TA. Strategic Impact The Director, Data Strategy & Products- Neuroscience TA is responsible to ensure Neuroscience data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Neuroscience data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master's in informatics, computer science, life sciences or related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. A focus on Neuroscience is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Neuroscience data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Neuroscience research, clinical trial design, and regulatory data requirements is a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave- 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave- 10 days Volunteer Leave- 4 days Military Spouse Time-Off- 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Office of the Illinois Secretary of State Alexi Giannoulias Job Title:      Chief Data Officer (Data Systems Administrator) Division:        Administration Union:            N/A Location:        115 S LaSalle St., Chicago, IL - Cook County Salary:           Range $6,904 to $13,522 monthly – commensurate with experience Benefits:         https://cms.illinois.gov/benefits/stateemployee.html Overview: Leads and directs a statewide enterprise data program through subordinate supervisory staff, overseeing technical, professional, and analytical teams responsible for data governance, data architecture, data quality, and enterprise data management activities. This role is responsible for establishing a vision and strategy for data across the organization, ensuring its alignment with business goals, compliance requirements, and enterprise architecture standards. Duties and Responsibilities: Program Leadership and Oversight - Through subordinate supervisors, plans, organizes, directs, and evaluates the work of data analysts, data stewards, architects, and technical staff supporting enterprise data initiatives, including data quality assessment, metadata management, master data management, and governance policy enforcement. Participate in hiring and workforce planning activities for the Enterprise Data Management team. Enterprise Data Governance Frameworks and Standards - Develops and implements procedures, policies, and governance frameworks for enterprise data use across all departments. Establishes standards for data stewardship, metadata, lineage, and classification. Approves or refines recommendations from subordinate staff regarding department-specific data governance implementation, ensuring consistency and scalability across the organization. Strategic Planning and Policy Development - Analyzes and recommends data strategy enhancements and enterprise-wide data management policies to the Department Director. Leads the creation of long-range data plans that support enterprise goals and digital transformation efforts. Identifies data architecture enhancements, oversees enterprise data integration planning, and ensures alignment with statewide technology initiatives. Consultation and Advisory Services - Serves as the enterprise advisor to division managers statewide regarding data strategy, governance adoption, data-driven decision-making, and compliance with regulatory and internal standards. Provides guidance on organizational readiness for advanced analytics, data modernization efforts, and new data technologies. Budgetary and Investment Planning - Provides expert consultation on the development of proposed budgets related to enterprise data systems, platforms, and tools. Reviews and advises on strategic investments in data technology and services, ensuring cost-effectiveness and alignment with data strategy and business needs. Stakeholder Engagement and Communication - Maintains ongoing communication and engagement with department leaders across all divisions to advocate for enterprise data initiatives and educate teams on data governance practices. Leads forums, working groups, and training initiatives to foster a data-literate culture. Maintains contact with external data platform vendors, regulatory bodies, and industry peers to stay informed of data management advancements and opportunities for the Office of the Secretary of State. Performs other duties as required or assigned. Education and Experience: Requires knowledge, skill and mental development equivalent to completion of four years college preferably with courses in computer science, management information systems, mathematics or statistics supplemented by a master's degree in computer science or a related field and two years of managerial experience in a computer-based management information system. Knowledge, Skills and Abilities: Requires thorough knowledge of management information system, data base administration, systems analysis and computer communication systems. Requires thorough knowledge of the principles of organization, management and administration. Requires extensive knowledge of research and statistical procedures, program budgeting and systems modeling. Requires ability to implement program evaluations or system assurance. Requires ability to anticipate and resolve managerial problems. Requires willingness to travel and possession of a valid Illinois driver’s license as required by individual positions within the class. Requires the ability to lift, carry, and push/pull 0-50 lbs. Application Process:  Please visit  https://ilsos.applytojob.gov/apply  to apply by completing the online application; you may also upload a resume or other attachments as needed . Preference will be given to Illinois residents in the hiring and selection process, in accordance with the Illinois Secretary of State Merit Employment Code. Questions regarding this posting or Illinois Secretary of State employment practices may be directed to Job Counselors at our Personnel offices in Chicago (312-793-5515) or Springfield (217-782-4783).     Equal Employment Opportunity Employer. Applicants must be lawfully authorized to work in the United States. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, sexual orientation, age, marital or veteran status, or the presence of a non-job-related medical condition or disability. Powered by JazzHR

Double Good's mission is to create joy. We create joy with our delectable and award-winning popcorn. We create joy with our easy-to-use fundraising platform that raises a meaningful amount of money for youth sports and activities, empowering kids to pursue their dreams. We create joy through our Kids Foundation which hosts Double Good Days events across the country to bring all-ability fun to children with special needs and their families. As featured on the Today Show, Double Good is not just about the product; we have a strong social mission. In recent years, Double Good has seen 40% year over year growth, and we're excited about our future! We are building a best-in-class data platform to support our exciting future, and we are looking for a Senior Data Architect / Data Modeler to join our team as we scale our modern data stack. Location - This role will be hybrid based out of our Chicagoland offices (Downtown Chicago / Elmhurst) About the role: We are seeking a Senior Data Architect / Data Modeler to help us build our Enterprise Data Platform. This role requires both deep technical knowledge and the ability to communicate effectively with business stakeholders. You will be hands-on in architecting and developing the core data models that support our most critical and impactful business metrics. Key Responsibilities Data Modeling: Design, implement, and maintain robust data models (star and snowflake schemas) for core business domains using Snowflake and dbt, ensuring our data platform supports diverse analytics needs across the organization. SCD2 Implementation: Engineer Slowly Changing Dimensions Type 2 (SCD2) data structures in dbt, ensuring high accuracy, lineage tracking, and consistency for evolving business attributes. ERD Creation: Develop and maintain comprehensive Entity Relationship Diagrams (ERDs) for all data domains, using tools such as db_diagram.io. Query Performance: Write and optimize complex SQL queries to support analytical workflows, ensuring high performance and efficiency. Data Transformations: Own and orchestrate data transformation activities, leveraging dbt to structure, document, and test data pipelines. Data Quality: Implement rigorous data quality checks and automated testing, upholding best practices for naming conventions, data types, data structures, and clear documentation. Standards & Governance: Ensure all logic adheres to established data architecture standards; actively participate in evolving and improving these frameworks with the team. Collaboration: Work closely with Analytics Engineers, BI Engineers, and business stakeholders to gather requirements, troubleshoot issues, and translate business needs into scalable technical solutions. Version Control & Automation: Use Git for version control, contributing to collaborative and well-structured codebases; utilize command line tools to automate, monitor, and maintain the data modeling environment. Maintenance: Respond to issues as they arise and participate in resolution and troubleshooting based on priority. Experience & Skills we value: 8+ years of experience in data modeling, with a strong focus on Kimball-style dimensional modeling Deep understanding and hands-on experience with SCD2 (Slowly Changing Dimension Type 2) modeling Experience with BI tools and a solid understanding of how data models drive business analytics Proficiency in dbt, including implementation of macros, hooks, and custom tests Advanced skills in Snowflake, including query optimization and use of advanced functions Proficient with Git and comfortable working on the command line (preferably on Mac workstations) Experience working in customer, order, manufacturing and shipping domains Technical Stack Experience Required: Snowflake, dbt, familiarity with BI tools, ERP Preferred: Fivetran, Looker, Microsoft D365 Equal Pay Disclosure(s): We're on a mission to create more joy in people's lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan. Base Pay range for this position: $125,000 - $170,000 annually Target Annual Bonus: 15% of base salary The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location. Work Authorization Requirement: This position requires current authorization to work in the United States. We provide limited visa sponsorship only for candidates who currently hold an H-1B visa that is eligible for transfer or have an approved I-140 petition. We do not provide sponsorship for F-1 Optional Practical Training (OPT), STEM OPT extensions, or initial H-1B petitions. Benefits: Double Good offers competitive benefits including medical, dental and vision coverage with plans that can fit each teammate's needs. We offer immediate vesting in our 401k plan, paid time off, company-paid leaves and other perks including a Popcorn Allowance (yup, free popcorn!). Visit the Careers page on our website for more information at https://www.doublegood.com/careers . Double Good is an Equal Opportunity and Affirmative Action employer, working in compliance with both federal and state laws. We are committed to the concept of Equal Employment opportunity. Qualified candidates will be considered for employment regardless of race, color, religion, age, sex, national origin, marital status, medical condition, or disability. The EEO is the law and is available here. Right to Work Statement (English and Spanish).

Insulet Corporation, maker of the OmniPod , is the leader in tubeless insulin pump . Join a fast-paced, mission-driven medical device company where data plays a critical role in improving patient outcomes and operational excellence. As a Director of Data Governance , you’ll work directly with the Data Engineering Leads and cross-functional teams on exciting, high-impact projects that shape the future of our products and data platform. Th is person will be responsible for ensuring accurate , secure and effective use of the organization’s data. This role provides guidance to the team that develops and implements comprehensive data policies, data management and governance capabilities and ensures regulatory compliance while aligning data management and governance strategies to business objectives . We offer a dynamic and collaborative work environment, where your attention to detail and passion for quality will directly influence product development, clinical insights, and operational efficiency. If you're looking for a role where your work truly matters—and where you’ll grow alongside a team of talented engineers and healthcare professionals—this is the place for you. Key Accountabilities Defines and delivers broad data management and governance strategies aligned with current and long-term organizational goals Oversees the development, documentation and governance of complex data frameworks & standards to ensure overall consistency and quality across data domains, and that policies are applied. Lead the successful implementation, deployment, and ongoing usage of Atlan as the enterprise data governance platform. Define and execute strategies for tool adoption, integration with existing data platforms, and continuous improvement based on user feedback and business needs. Develop and execute change management plans to drive adoption of data governance tools, including stakeholder engagement, training, and support. Champion a culture of data stewardship and accountability. Defines a data quality vision and strategy within enterprise or function to deliver data that is fit for purpose, operationalizing organizational alignment to lead data quality with intention and focus, and ensures that data quality strategies are aligned with business priorities and organizational focus. Leads the creation of data governance policies that help maintain data integrity ensuring data practices align with organizational goals, and frameworks that define how data is collected, stored, accessed, processed and shared. Leads teams of process and data authorities to define the lifecycle guardrails for how data domains must be handled and governed from birth to death, adhering to regulations and policies while also serving as a change agent for where practices need great definition and maturity. Leads the development of data governance, risk and compliance processes and controls to identify improvements and mitigate risk and align with applicable laws and regulations. Oversees training programs to ensure improved organizational literacy, compliance to data standards and policies and effective communication of accountability for data responsibilities. Manages team members to achieve the organization’s goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture. Qualifications Minimum requirement of 10 years of relevant work experience. Typically reflects 12 years or more of relevant experience. Preferred Qualifications Experience leading global cross functional governance programs Experience with data governance tooling platforms such as Atlan, Alation or Colibra Established operating models and programs to mature data quality and compliance Built and led high performing organizations Sponsored transformational programs that spanned organizational and/or functional boundaries Experienced at articulating the importance of data governance to senior leaders to articulate business value & risk Familiar with implementation or use of data governance and management technologies Additional Information: The US base salary range for this full-time position is $188,100.00 - $282,150.00. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in the primary work location in the US. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Talent Acquisition Specialist can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet’s flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com.We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it! At Insulet Corporation all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. ( Know Your Rights )

Job Description DPR is looking for an experienced AI Data Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR’s AI initiatives.You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas. Responsibilities Integrate the semantic layer to serve as an AI-ready knowledge base, enabling applications such as advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise. Develop standards, guidelines, and best practices for knowledge representation, semantic modeling, and data standardization across DPR to ensure a clear and consistent approach within the enterprise semantic layer. Establish and refine operational processes for semantic model development, including intake mechanisms for new requirements (e.g., from AI prompt engineering initiatives) and backlog management, ensuring efficient and iterative delivery. Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data entities. Provide strategic guidance on how structured data can be seamlessly transformed, optimized, and semantically enriched for advanced AI consumption and traditional BI/Analytics tools. Lead the effort to establish and maintain comprehensive documentation for all aspects of the semantic layer, which includes defining and standardizing key business metrics, documenting ontological definitions, relationships, usage guidelines, and metadata for all semantic models, ensuring clarity, consistency, and ease of understanding for all data users. Evaluate and monitor the performance, quality, and usability of semantic systems, ensuring they meet organizational objectives, external standards, and the demands of AI applications. Act as a thought leader, constantly evaluating emerging trends in knowledge graphs, semantic AI, prompt engineering, and related technologies to strategically enhance DPR’s capabilities in knowledge representation and data understanding. Rapidly prototype high-priority solutions in cloud platforms, demonstrating their feasibility and business value. Participate in all phases of the project lifecycle and lead data architecture initiatives. Qualifications Proven expertise in data analysis, data modeling, and data engineering with a focus on cloud- native data platforms. 5+ years of hands-on experience in semantic modeling, ontology engineering, knowledge graphs, or related AI data preparation. 3+ years of experience developing data solutions specifically for AI/ML applications leveraging structured data. 3+ years of experience with data warehousing concepts, dimensional modeling, and data governance principles as they relate to structuring data for semantic enrichment. Proficiency in SQL and experience working with cloud-based data warehouses, preferably Snowflake. Strong analytical and problem-solving skills with keen attention to detail and the ability to translate complex business concepts into logical ontologies and knowledge graph structures. Strong proficiency in SQL, Python, and PySpark. Familiarity with agile methodologies, and experience working closely with cross functional teams to manage technical backlogs. Skilled in orchestrating and automating data pipelines within a DevOps framework. Strong communicator with the ability to present ideas clearly and influence stakeholders — with a passion for enabling data-driven transformation. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together—by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers .