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

About NexHealth NexHealth's mission is to accelerate innovation in healthcare. Fixing healthcare is the challenge of our generation. This industry is stuck in the 1990s while affordability and accessibility are spiraling out of control. We currently spend ~20% of GDP on healthcare, while the 25% of the world's data is stuck on legacy and antiquated health systems. NexHealth's goal is to create an open and modern ecosystem to accelerate innovation in the space. We make it easier for everybody to build in healthcare, and ultimately empower ordinary people with access to more modern, efficient and affordable healthcare solutions. Founded: 2017 Headquarters: San Francisco, CA Funding: $177M through Series C Employees: 190 Website: https://www.nexhealth.com/ Staff Data Scientist As our Staff Data Scientist , you'll architect and scale the systems that turn raw billing and product data into the single source of truth for Finance, Sales, and the executive team. From crafting zero-to-one Snowflake-powered dashboards in Sigma to building automated forecasting pipelines fed by Stripe, Chargebee, and the NexHealth product, you'll own every step - from data model design through self-serve reporting. Your expertise in ARR/MRR modeling, churn analysis, and cash-flow forecasting will ensure leadership can make fast, confident decisions. What You'll Do Build & Scale Financial Models & Dashboards- Architect and implement Sigma Computing models and their corresponding dashboards for MRR, P&L, retention, churn, and revenue funnels. Drive Cross-Functional Alignment- Work closely with Finance, RevOps, Product, and Engineering to standardize definitions, maintain data contracts, and embed financial rigor into planning cycles. Serve as a strategic thought partner to the CFO and exec team, delivering "deep dive" analyses that inform strategic decisions. Champion Data Quality & Governance. Define and enforce data contracts around financial dimensions (e.g., customer segments, SKUs). Implement monitoring, validation tests, and alerts to catch discrepancies in financial data streams. What You'll Bring 7+ years as a Staff Data Scientist finance analytics or FP&A within a high-growth SaaS environment, with zero-to-one dashboard builds under your belt Expertise with Snowflake and Sigma Computing (or equivalent BI tools) for dashboard design and data exploration Familiarity with financial systems (e.g., QuickBooks, NetSuite) and integrating their data into analytics platforms Expert at decomposing ambiguous financial questions into actionable analyses with clear assumptions Strong storytelling skills using data, connecting insights to actionable business recommendations. Proven ability to build reporting and analysis frameworks for GTM teams such as Marketing, Sales, and Customer Success, leveraging Product and Financial data. Passion for documentation and knowledge sharing-making financial processes transparent and accessible NexHealth Principles As Nexers, we are strong owners and first principle thinkers who can execute and deliver fast, hungry for learning and personal growth, and we make sure the company succeeds above all else. As such, our culture is shaped with the following principles: Strong ownership: Knows what needs to be done, and gets it done with little or no oversight. Bias for action: Outcome oriented. Delivers results fast. Acts with first principles: Describes the ideal end state with first principles, and helps us get there fast. Growth mindset. Hungry for learning and personal growth. Company first: Does whatever is right for the company and our customers. Benefits Competitive salary plus equity Commuter benefits 401K Full Medical, Dental and Vision Unlimited PTO

AECO Segment: Finance Data Management Analyst Are you ready to blend your expertise in finance with data governance to drive accuracy across a global enterprise? Join Trimble's Architecture, Engineering, Construction, and Operations (AECO) segment and play a critical role in ensuring the integrity, accessibility, and trust of our core financial data. This is a unique opportunity to act as the primary Finance Data Steward, operationalizing data management practices that support accurate reporting, compliance, and strategic forecasting in a high-impact, technologically advanced environment. About Us: Trimble is a global technology company that connects the physical and digital worlds, transforming the way work gets done. Join a global team dedicated to innovation, sustainability, and empowering our customers in critical industries like construction, geospatial and transportation. AECO: The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations. What Makes This Role Great: This role is the key liaison between our Finance teams and enterprise Data Governance stakeholders, giving you visibility and influence across the organization. You will be instrumental in defining Critical Data Elements, implementing data quality controls, and ensuring SOX/GDPR/SOC 2 compliance for financial data, truly shaping how we utilize information for better decision-making. Key Exciting Responsibilities Champion Data Quality: Execute data quality checks, validations, and remediation efforts for critical Finance data assets. Drive Compliance: Contribute to controls and audits for Finance data to meet other regulatory requirements. Stewards Master Data: Advocate for and steward Master Data Management (MDM), supporting Finance and other functional areas in sourcing master data. Define and Document: Lead the documentation of Finance data definitions, taxonomies, and metadata for enterprise consumption. Essential Skills & Experience Bachelor's degree in Finance, Accounting, Information Systems, or a related field. 5+ years of experience in Finance, Data Management, or Business Intelligence. Solid understanding of Finance processes (FP&A, Accounting) and financial reporting requirements. Proficiency in SQL, Excel, and BI tools (DOMO, Tableau, or Power BI). Experience in data quality, metadata, or master data management practices. Bonus Points For: Experience working in a formal Data Governance model or using frameworks like DCAM/DAMA-DMBOK. Familiarity with data catalog platforms (Microsoft Purview, Alation, Collibra) or MDM tools (Tamr or similar). Background in technology, construction, or transportation industries. Logistics: Location: Lake Oswego, OR or Westminster, CO (Hybrid/In-Office) Travel Requirement: 0% Why You'll Love Working With Us We're not just a company that "does good"-we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow. You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste. Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We're a company of "visionary pragmatists" who think boldly and build things that work. Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers." Enjoy true flexibility: We offer flexible work arrangements, which are a significant driver for employees joining and staying with us. We see flexibility in how we work as a key competitive advantage. Finance, Data Management, Data Analyst, Data Governance, Master Data, MDM, Data Quality, Oracle, SAP, ERP, SQL, GDPR, AECO, Accounting, FP&A Compensation: Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law. Hiring Range $92,750.00-$122,960.00 Pay Rate Type Salary Bonus Eligible? Yes Commission Eligible? No Benefits: Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date. How to Apply: Please submit an online application for this position by clicking on the 'Apply Now' button located in this posting. Posting Date 10/02/2025 Application Deadline: Applications could be accepted until at least 30 days from the posting date. At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values-Belong, Innovate, and Grow-we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at https://investor.trimble.com , under "Corporate Governance." Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow. Trimble's Privacy Policy If you need assistance or would like to request an accommodation in connection with the application process, please contact AskPX@px.trimble.com.

POSITION SUMMARY: Infection Control Data Abstractor works under the direction of the Infection Control Practitioner and is accountable for abstracting, compiling, monitoring and reporting data from multiple electronic and non-electronic systems. ESSENTIAL FUNCTIONS Performs surveillance for healthcare acquired infections by monitoring and evaluating infection control data Monitors and reports communicable diseases as mandated by the public health department Compiles, monitors and reports Infection Control data Willingly assists in the performance of other duties as delegated by Infection Control Practitioner (e.g. during periods of increased workload or absence of another employee). EDUCATION & EXPERIENCE: Current licensure to practice licensed vocational nursing in the State of California. Two years experience of clinical nursing in a hospital setting preferred. SKILLS & ABILITIES: Ability to analyze, interpret, summarize data into information for reporting findings. Ability to graphically display data using various formats preferred Strong analytical and problem solving skills Effective professional writing and interpersonal communications skills Knowledge of computer software programs Word, Excel, E-mail, Power Point, and the internet/intranet Knowledge of Midas, eCW, Quadra-Med QCPR and Affinity; preferred Knowledge of DNV NIAHO Standards, Title 22, Conditions of Participation and ISO 9001-2008 Time management skills, self-directed with time management skills. Ability to interact effectively with all customers, including but not limited to physicians, staff, patients, visitors, and surveyors Maintains confidentiality of all information handled. PHYSICAL REQUIREMENTS: Visual and hearing acuity adequate for reading and interpreting medical record data and communicating with providers, clinical staff, customers and teams The majority of the work is done in an office setting. Prolonged sitting and keyboarding is required. Lifting at least 20 pounds. Manual dexterity with fine motor ability to operate and handle complex computerized equipment. SCHEDULING AND AVAILABLITY: 40 hours per week Flexibility expected when major organizational projects are underway Available to respond to emergency situations

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

WELLTOWER - REIMAGINE REAL ESTATE WITH US Welltower, now the world's largest real estate company by market capitalization, is continuing to grow at an exciting pace! At Welltower, we're transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious-guided by our mantra: The only easy day was yesterday. We're looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team. SUMMARY The Counsel, Healthcare Transactions & Regulatory Data will be accountable for the healthcare aspects on applicable transactions as well as managing the data and analytics program specific to health care regulatory compliance and performance across our network of properties. This individual will play a critical role in advising on healthcare regulatory matters-including those arising in the context of mergers, acquisitions, dispositions, and operator transitions. The ideal candidate will have a strong healthcare legal background, with demonstrated experience supporting M&A transactions and related licensure and change of ownership (CHOW) activities. KEY RESPONSIBILITIES Advise on legal and regulatory issues arising in connection with corporate transactions, including acquisitions, dispositions, operator transitions and facility closures, with a particular focus on healthcare-specific considerations. Lead or support the preparation and submission of licensure, CHOW, and other required filings with Federal and State agencies related to transactions. Collaborate with deal teams to evaluate and negotiate regulatory terms and conditions of healthcare transactions, ensuring compliance with applicable laws and mitigating legal risk. Create and oversee the process for collecting, organizing, documenting, and storing all health care regulatory compliance data (including, but not limited to complete licensure information), whether Federal or State required, across our business segments, including skilled nursing and seniors housing facilities and partner with Business Insights team on the data collected in their environment. Partner with the Legal and Business Insights teams to ensure careful and accurate tracking of regulatory data and business insights data. Work with our partners, operators and third parties to make sure that data is consistently gathered and in compliance with Federal, State, Local and any other regulatory requirement. Utilize/examine Federal, State and other databases to identify data useful to our business. Work closely with Privacy and Security Officers to coordinate the creation, maintenance and revision, if necessary, to policies and procedures for new and existing compliance programs. Develop and foster effective communication of current trends and regulatory changes among Welltower's stakeholders, including internal team members as well as industry associations and regulators. Perform special projects as assigned. OTHER DUTIES Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. TRAVEL Some out-of-area and overnight travel may be expected. MINIMUM REQUIREMENTS Law degree (J.D.) is required. CHC (Certified in Healthcare Compliance) certification preferred 4+ years healthcare transaction experience required Transactional experience covering assisted living, memory care, skilled nursing and/or senior congregate care settings is preferred. Strong familiarity with Federal and State health care laws, licensing and other standards, Medicare and Medicaid programs. Advanced Microsoft Excel skills. Ability to identify and extract data from multiple sources, summarize and analyze for trends. Strong understanding of healthcare documentation and electronic software programs. Excellent written, oral, and presentation communication skills. Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. WHAT WE OFFER Competitive Base Salary + Annual Bonus Generous Paid Time Off and Holidays Employee Stock Purchase Program - purchase shares at a 15% discount Employer-matching 401(k) Program + Profit Sharing Program Student Debt Program - we'll contribute up to $10,000 towards your student loans! Tuition Assistance Program Comprehensive and progressive Medical/Dental/Vision options Professional Growth And much more! https://welltower.com/newsroom/careers/ COMPENSATION Salaries may vary by location. The range for this role in New York City is $175,000 - $225,000 plus bonus. Final compensation determinations are made based on a variety of factors, including, but not limited to, the candidate's individual experience, education, and skill level; business strategic priorities; primary office location; scope and anticipated strategic impact of the role. ABOUT WELLTOWER Welltower Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults in the United States, United Kingdom, and Canada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care. Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments. Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture. Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors - our North Star. Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet

We are a Firm where people truly believe in what they do and strive to achieve the highest standards of performance and success. This position can be based in our global operations center in Tampa, FL, or at one of the Firm's offices: Atlanta, Austin, Chicago, Dallas, Houston, Jacksonville, Orlando, or Miami. General Description: We are seeking an Applied AI and Data Sciences Engineer to join our Firm. The Applied AI and Data Sciences Engineer will be responsible for supporting the development and management of applied data sciences and artificial intelligence (AI) tools, platforms, projects, engagements, and related processes. This role contributes to the implementation and on-going support of the firm's initiatives and partnerships to develop and scale data sciences and AI tools to our lawyers and business departments. The Engineer develops and supports the firm's AI and data sciences custom solutions, executes technical implementation of data sciences and AI applications, and provides ongoing service, support, and planning for continued enhancements. This Engineer will also partner closely with technology, data and intelligence solutions teams in the development and delivery of the firm's innovative AI solutions. This role contributes to digital transformation programs, provides technical and business process support, and collaborates with internal and external resources. Key Responsibilities and Essential Job Functions: Support the design, development, and support of applied data sciences and AI program, including inception-to-adoption of the firm's custom AI solutions and projects. Engage IT staff, vendors, and other third parties to address system-level technical issues, manage internal and external integrations, and implement upgrades and enhancements. Collect and communicate success metrics to measure the quality and quantity of data used within, and developed by, data sciences and AI tools, as well as the performance of our AI solutions against industry benchmarks. Develop standard configuration documentation and related guides for data consumers. Collaborate to design end-user training, onboarding, and user adoption programs and communications. Consult on the evaluation of vendor products for interoperability, security, and functionality. Special projects and duties as assigned. Required Skills: Ability to develop effective and collaborative relationships. Champion for governance, change management, process improvement, user adoption, and the constant evolution of complex data strategies and needs. Initiative and creativity to develop unique and innovative approaches to address existing challenges and/or positively affect lawyer productivity, client service, and overall fiscal health of the firm. Excellent written and verbal communication skills. Excellent organizational, teamwork, customer service and critical thinking skills required. Demonstrated ability to manage multiple complex assignments with competing deadlines and priorities. Experience managing projects from inception through planning, execution, and delivery phases. Required Qualifications & Education: 2+ years' experience working as a data sciences professional and experience in applying AI tools and techniques towards successful product outcomes. Direct experience working with GenAI, LLM fine-tuning, knowledge graphs, and related tools and techniques. Expert proficiency in SQL, Apache Spark, Python, Microsoft Azure Data Factory, Microsoft Fabric, and related products and platforms. Expert proficiency with common AI and ML applications, data mining and statistic tools, scripting, and programming experience desired. Expert proficiency in cloud data platforms, data sciences, and application development. Expert proficiency working with MS Office and Power platform especially for analyzing and communicating data-related concepts. Proficiency with cybersecurity best practices and compliance requirements in the legal industry and for clients such as financial and governmental institutions. Experience with, and willingness to learn more about, emerging Microsoft OneLake, Fabric, Power, and related concepts and applications. Experience in safety and ethical aspects of AI. Preferred Qualifications & Education: Master's or Doctorate is strongly preferred. Familiarity with professional services and related fields, including trends, tools, and industry standards. Experience working with workflow systems, legal project management, and practice management tools. Physical Requirements: Ability to sit or stand for extended periods of time. Moderate or advanced keyboard usage. This position may be filled in Georgia, Texas, Illinois or Florida. The base salary ranges for this position are listed below. These ranges may not be applicable to other locations. An individual's actual compensation will depend on the individual's qualifications and experience. In addition to the base compensation, Holland & Knight provides bonus opportunities and an exceptional benefits package. Illinois - 129,000.00 - 193,000.00 USD Annually Benefits: Our goal is to promote a work environment in which individuals have access to the resources they need to be their best both professionally and personally, which includes resources that encourage individuals to focus on their health and well-being. Below is a list of just some of the benefits we offer: comprehensive medical (PPO and HDHPs), dental and vision plans including coverage for domestic partners; life and AD&D insurance; short and long term disability insurance; tax-advantaged accounts for health care expenses, including FSAs and HSAs; FSAs for dependent care; health advocacy services; behavioral health and counseling resources for all family members; 401(k); profit sharing; pre-tax transit and parking program; backup dependent care; senior care planning support; resources for individuals with development disabilities and their caregivers; and paid holidays and other paid time off, including paid leave for new parents. Benefits may vary by position and office. Holland & Knight is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth or related conditions, transgender status, and sexual orientation), national origin, age, disability, genetic information, veteran status or any other factor prohibited by law. Personal Information collected from applicants will be used for the purpose of processing the application throughout any recruitment or employment process, as well as inclusion in a personnel file. Categories of data collected may include name, address, phone numbers, email, Social Security Number, and signature. Holland & Knight may collect further information if you consent to a background check. This includes criminal background, employment, and certifications. Please visit Legal Information Portal for Holland & Knight LLP's privacy policies.

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

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role WEX is reimagining its enterprise data platform with a powerful goal: transforming raw data into semantically meaningful, reusable, and trusted business assets. As a Senior Software Engineer on the Semantic Data Modeling Team, you'll play a critical role in designing, building, and maintaining our core 360 data objects-such as Customer360, Fleet360, and Provider360. These wide, entity-based tables are foundational to our analytics, AI, and product platforms. You'll implement rich transformation logic, encode business rules, and ensure data consistency across domains-making our data models both technically scalable and business-ready. This team is at the heart of WEX's DaaS platform-bridging raw data with meaningful business insights. You'll help define and deliver the semantic backbone of our products, analytics, and machine learning systems. If you're excited about building data models that carry real-world meaning, scale to billions of records, and unify how a business understands its world-this is your next big move. How you'll make an impact Design and implement semantically consistent, scalable 360 data models that integrate data across domains. Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets. Write production-quality, testable code in SQL and Python (or equivalent)-delivering performant and maintainable data assets. Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models. Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage. Help define and enforce standards for data modeling, documentation, and governance within the semantic layer. Collaborate across teams to integrate with ingestion, MDM, and data product layers. Experience you'll bring 4+ years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms. Strong proficiency in SQL and at least one general-purpose language such as Python or Scala. Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects. Solid understanding of data quality practices-including validation, enrichment, schema enforcement, and business rule encoding. Experience working with large-scale datasets and optimizing transformation pipelines for performance and maintainability. Comfort operating in a collaborative, cross-functional environment, balancing business logic with platform scalability. A mindset for traceability, reproducibility, and semantic clarity-you build data models others can trust and reuse. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $120,000.00 - $160,000.00

P-988 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 8+ years of production level experience in either Java, Scala or C++. Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Impinj is a leading RAIN RFID provider and Internet of Things pioneer. We're inventing ways to connect every thing to the Internet - including retail apparel, retail general merchandise, healthcare items, automobile parts, airline baggage, food and much more. With more than 100 billion items connected to date, and multiple Fortune 500 enterprises around the world using our platform, we solve for a better understanding of our world. If it's a thing, we're working to connect it. Join Impinj and help us realize our vision of a boundless IoT- connecting trillions of everyday items to the Internet. Team Overview: We are seeking a Data Engineer with deep experience in managing and processing high-volume IoT data to enable the cloud-based training of machine learning models that power real-time inference on edge devices. In this role, you will architect and maintain cloud-based data infrastructure and pipelines that support ML workflows for training, validation, and deployment of machine learning models optimized for deployment in edge environments. This is a multi-functional role requiring close collaboration with ML engineers, systems engineers, cloud architects, and embedded systems teams to deliver high-quality, efficient, and scalable data solutions that power intelligent behavior on resource-constrained devices such as fixed and handheld RFID readers. What You Will Do: Design data workflows to support model training, evaluation, and retraining cycles for deployment on edge devices Work closely with ML engineers to align data formats, labeling standards, feature extraction for edge-compatible models, and feedback loops for model improvement Architect and maintain scalable data pipelines to ingest, process, store, and access large volumes of structured and semi-structured RFID time-series data from edge networks Develop automated systems for data versioning, labeling, augmentation, and quality assurance Establish and maintain data APIs and interfaces to query, consume, and update datasets Manage large datasets using distributed storage and compute frameworks (e.g., Apache Spark, Hadoop, or Dask) Ensure data security, compliance, and consistency across the full data lifecycle Drive improvements in data performance and reliability, especially for low-latency ML inference use cases Implement robust ETL/ELT workflows for preparing data for cloud-based ML model training and evaluation Collaborate and coordinate with large scale data collection projects Monitor and optimize data pipelines for performance, reliability, and cost across edge-to-cloud infrastructure Optimize data flow and compute for performance, cost, and latency in hybrid edge-cloud environments What You Will Bring: Bachelor's degree in Data Engineering, Electrical Engineering or a related field and 8 years of related experience, or equivalent combination of education and experience 8+ years of experience in data engineering working with Machine Learning pipelines Deep understanding of data pipeline design, ETL/ELT processes, automated workflow orchestration (e.g. Apache Airflow) Strong programming skills in Python (especially for data workflows), with experience building scalable, maintainable pipelines. (e.g. Pandas, numpy) Strong experience with structured and unstructured databases (SQL, MongoDB, DuckDB) Strong understanding of cloud infrastructure (AWS, Azure, or GCP), especially cloud storage, compute, and ML tools (e.g., SageMaker, Vertex AI, Azure ML) Experience with data lake/data warehouse technologies (e.g., S3 + Glue, BigQuery, Snowflake, Delta Lake) Knowledge of machine learning model lifecycles, including training, validation, and deployment Understanding of data versioning, feature engineering, and ML lifecycle management Understanding of machine learning data needs, including labeling, versioning, and model-ready dataset preparation Familiar with distributed data systems and big data tools (e.g., Spark, Kafka, Hadoop) Compensation & Benefits: The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work. The typical base pay range for this role across the US is $129,000 - $200,000. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time. At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others. For a more comprehensive list of US employment benefits, click here. US Export Controls: This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here. Why work at Impinj: Know you're making a difference. Competitive benefits. Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj provides an environment that fosters openness and innovation and is developing technology that delivers a positive impact on the world. Collaboration and teamwork are highly valued, and accomplishments are duly celebrated. We have an open paid time-off policy paired with a respect for work/life balance. Our headquarters is located in Seattle with spectacular views of the Olympics, Lake Union, and Mt Baker, which can be enjoyed from our rooftop deck. Our Brazilian site is in Porto Alegre, Rio Grande do Sul state, at "Tecnopuc," a technology park that offers a very nice workplace for the development of groundbreaking technologies. Impinj is committed to creating a diverse and inclusive work environment and welcomes applicants from all backgrounds. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Senior Data Specialist II Employment Type: Full-Time, Experienced Department: eDiscovery CGS is seeking an experienced Senior Data Specialist II with extensive knowledge of litigation discovery processes to provide assistance in the EDRM workflow for a large Federal agency initiative. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Performs file manipulation, loading, conversion services, database indexing, and quality checks of loads. Develops, evaluates and modifies methodologies and procedures for manipulating files for use with COTS products and litigation support applications. Responsible for ensuring that incoming productions are made pursuant to the applicable ESI specifications. Performs advanced tasks related to exporting data from contractor and client databases, including: identifying data for export, confirming redactions and other markups, ensuring that exports comply with applicable ESI specifications, and quality check of exported data. Support client attorneys, investigators, and paralegals by tracking and processing incoming documents, subpoena returns, and data; creating, loading, and managing document review databases; producing documents to opposing parties in litigation; and tracking produced documents. Applications used include Everlaw, Relativity, Eclipse, Trial Director, NUIX, LAW, EZManage, CaseView, Metadata Assistant, Beyond Compare, eScan-IT, CaseMap, TextMap, TimeMap, Camtasia, and other applications as directed, or as required to complete processing. Under guidance from the client attorneys, manages documents and data, including the use of document review tools. Documents and data include physical documents, a wide range of Electronically Stored Information (ESI), discovery, forensic images, subpoena returns, PDF's, audio/video files, pictures, forms, email, and others as required to support the client attorneys. Document review tools include those listed in item Contractor will work with the Litigation Support Manager to ensure that incoming productions are made pursuant to the applicable ESI specifications and when deficiencies are found, provides Litigation Support Manager with detailed notice of deficiencies. Coordinate with the client's Technology Service Center regarding litigation support projects that are outsourced to the client. Contractor will ensure that all exports for productions are made pursuant to applicable ESI specifications and/or the requirement of the requesting party or client personnel using the guidelines utilized by the Litigation Support Unit. Work with Litigation Support Manager and client attorneys when issues may arise in discovery negotiations with defense counsel. Contractor will work with the Litigation Support Specialist in modifying and manipulating files for use with COTS products and litigation support applications. Qualifications: Undergraduate degree preferred-preferably in computer science or related field Requires knowledge of litigation discovery process, and the Electronic Discovery Reference Model (EDRM) workflow. Knowledge of Government's IT environment, including office automation networks, PC and server based applications preferred. Working knowledge of personal computers, including Windows, document review software, and encryption methods. Experience with LAW, IPRO, Relativity or other document processing platform. Familiarity with ICONECT, Relativity, MS Office Suite, and West LiveNote valued. At least two years' experience performing eDiscovery roles including but not limited to electronic files processing (EFP), image and data file conversion, data culling using review tools, quality assurance, database loads and retrieval, and data analysis. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ $100,000 - $120,000 a year

Mantis Innovation provides managed facility services and turnkey program management with technology-enabled solutions that target the entire building footprint. We look at the entire facility-inside and out-and can impact 70% of what a building operator allocates critical budget dollars toward, including: Strategic electricity and natural gas procurement, renewable energy, and demand response; climate impact reduction and reporting, net zero strategies, and sustainability planning; roofing, solar, HVAC assessment management, pavement, building envelope, data center optimization, and EV charging; lighting/LED retrofits, HVAC/mechanical systems, and BMS/BAS improvements and implementation. General Purpose: The Sales Executive, Data Center BMS Solutions will drive client growth for our data center facility solutions, specifically related to building automation systems. This role involves identifying and developing building management system (BMS) strategies that improve operational efficiency, sustainability, and energy performance. You will work closely with controls engineers, sales engineers, project managers, and client stakeholders to audit current systems, develop control strategies, build solution proposals, and close project opportunities. This position requires a consultative sales approach focused on understanding building infrastructure challenges and applying best-fit BMS building technologies. Travel is required for on-site evaluations and client engagement. Here's what you'll do: Quickly evaluate existing systems in data centers and commercial/industrial facilities (BMS/controls, electrical, lighting, HVAC, mechanical,) and propose tailored BMS solutions that optimize performance, energy usage, cost of construction, occupant comfort, and probable utility incentive benefits. Conduct site audits and assessments to understand facility needs and identify solution opportunities. Create and revise solution scopes to meet ROI, payback, and performance targets. Present solution strategies and value-based proposals to decision-makers, facility managers, and engineers. Lead and manage the full sales cycle to achieve annual quota from building and managing pipeline to developing opportunities through deal closure, including contract negotiations. Create and maintain a territory-specific sales plan with defined targets and growth strategies. Utilize business and financial knowledge to develop compelling value propositions that align with client goals. Coordinate internal stakeholders in crafting customized deal structures and solution positioning. Qualify inbound and outbound opportunities and manage demand generation efforts. Engage in high-level executive conversations to understand business priorities, financial drivers, and strategic objectives. Navigate complex accounts with multiple sites, global footprints, or high operational complexity. Share best practices across the sales organization and support coaching of fellow sales executives. Collaborate with utility providers and internal teams to qualify projects for available energy incentives and rebates. Drive favorable solution specifications and influence smart building standards with consultants and design engineers. Coordinate with solution engineers and project delivery teams to ensure project feasibility, profitability, and execution success. Develop and maintain strong relationships with key stakeholders including end users, contractors, and engineering firms. Travel for client-facing meetings, site visits, and presentations (estimated 40-50%). Qualifications: 5+ years of complex solution selling experience in building automation, energy efficiency, and critical facility/data center environments. Demonstrated success in developing and closing BMS, automation, or facility performance projects of $5M or more. Experience working with engineers, contractors, and utility incentive programs. Knowledge and experience with OEM building control platforms, automation architecture, and integration strategies. Proficiency with Microsoft Office Suite, Salesforce (or comparable CRM tools) preferred. Skills of the job: Strong knowledge of mechanical and electrical systems, building controls, and integration platforms. Strong consultative selling and client relationship management skills. Ability to translate technical information into compelling business value propositions. Detail-oriented with strong organizational and time-management skills. Confident, coachable, and proactive with a growth mindset. Excellent verbal and written communication skills. Passion for continuous learning and innovation in smart building technologies. $125,000 - $375,000 a year The above salary mentioned is OTE (On-Target Earnings): base salary PLUS commission Note: Employees are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. What else can we offer you? We offer a fantastic lineup of benefits, including Medical, Dental, Vision, FSA, HSA, 401k Matching, Paid Vacation, Paid Sick, Paid Holidays, Paid Parental Leave, Paid Short Term & Long Term Disability, Tuition Reimbursement, and a flexible hybrid work schedule (for office-based employees). Working at Mantis also brings tremendous professional development opportunities that allow you to make a real impact on both the company and your career! Not sure you meet every single requirement? Studies show that women and individuals from underrepresented groups often hesitate to apply unless they check every box. At Mantis, we're committed to building an inclusive and equitable team-so if this role excites you, we'd love to hear from you, even if your experience doesn't match every single qualification. Mantis Innovation is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data Strategy. This role will be focused on data acquisition, curation, and transformation of data into a useable asset. They will work cross-functionally to develop and deploy optimized data models and modern data architecture in support of strategic data and business initiatives. This role will serve as a subject matter expert for data domain knowledge, SQL, data design, and data processes across the enterprise. This individual will collaborate with teams across the organization to design and build end to end data flows for optimal business intelligence, advanced analytics, and data monetization efforts. Lastly, this role will contribute to core design of data architecture, data models, schemas, and inform future state Data Management and Data Strategy roadmaps. Job Duties and Responsibilities Creates detailed documentation of data warehouse, data stores, and end to end data flows Troubleshoots and corrects data and data processing errors in existing solutions Works with other technical teams as well as with internal and external users to develop technical designs Develops and continually refines the BI-focused data architecture Works closely with the Data Intelligence department to understand the data and reporting requirements from internal and external customers and the steps to take on the back-end data side to achieve the expected results Conducts gap analysis on source system databases against Allied's enterprise data warehouse in support of Business Intelligence efforts Develops and maintains data sets and standardizes data collection and processing methodologies Provides technical advice and weighs in on technical decisions that impact cross functional teams Attends and contributes to architecture meetings to determine project scope, time frame and cost estimates Works on plan and technical architecture to extract, integrate, and or push data to or from third party providers Provides enterprise data solutions for Allied including ETL maintenance, warehouse data models, periodic upgrades, security, governance, and performance optimization Understands the data warehouse and data mart models as well as being familiar with the business information contained in each Locates and defines new process improvement opportunities or alternative technologies that will enhance speed to business value delivery with our data Collaborates with developers and subject matter experts to establish the technical vision and analyze tradeoffs between usability and performance needs Mentors other ETL Developers and Data Engineers Qualifications (Education, Experience, Certifications & KSA) Bachelor's Degree required, or equivalent education/work experience 5+ years of experience with data warehousing, databases (MS SQL Server, Snowflake), and dimensional modeling 5+ years of experience in end-to-end data analysis and development 3-5 years of experience in AWS cloud services (AWS Glue, Lambda, S3, etc.) 3-5 years of experience with Snowflake (Snowpipe, Snowpark, Streamlit, Streams/Tasks) (preferred) Extensive Experience with SQL required Experience with R or Python (preferred) Experience with Git and CI/CD (preferred) Strong attention to detail Familiarity with Object Oriented Analysis, Project Management, Business Analysis Methodology, and the SDLC Ability to collaborate effectively and work as part of a team Customer-oriented, with a desire to resolve problems to the customer's satisfaction while maintaining focus on productivity, efficiency, and quality Effective communicator to clients, management, and project partners Experience with cloud-based technologies and services (SaaS, PaaS, IaaS) (preferred) Experience with Master Data Management (preferred) Strong analytical and product management skills required, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements. The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job. We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. To view our privacy statement click here To view our terms and conditions click here

Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters. What you'll be doing: Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team. Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation. Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies. What we need to see: Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred) 12+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems. Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills. Excellent interpersonal skills with success contributing to projects within multi-discipline teams. Proven track record of contributions to scaled Python-based software projects Ways to stand out from the crowd: Experience with accelerated server architecture design and deployment, especially up to hyperscale. Background in parallel computing, server architecture, or datacenter design. An excitement and curiosity about the future of accelerated computing and AI Expertise in data analysis and visualization, especially pandas and associated technologies A love of technology and passion for your work! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description Enterprise Data Governance (EDG) team works with all Business Lines to protect the company's data assets by providing governance and oversight on critical data and ensuring compliance with regulations. The Enterprise Data Governance (EDG) Senior Lead will support one of the key capabilities: Metadata Management Domains Issue Management The successful candidate will have a desire to learn, teach and develop skills. Strong communication and critical thinking skills are essential along with the ability to understand business, technology, reporting processes and identify gaps easily. In addition, a "can-do" personal style/attitude, strong work ethic and attention to detail are also critical to success in this role. The environment is dynamic and fast paced and requires a candidate to have a strong sense of urgency and the ability to pivot across multiple tasks. Primary Responsibilities Lead design and execution of Policy, Policy Procedures, Guidance, internal procedures and tooling for program / several workstreams Oversee multiple dedicated and cross-functional projects and/or activities to evolve EDG Capabilities and implement related processes. Review, assess and address various risks/ issues; escalate high risks as appropriate and present recommendations to EDG and BL senior leadership Collaborate with other EDG Leadership and workstream leads on connected topics and activities. Coordinate with Business Line senior representatives Present updates / outcomes to internal and external stakeholders (program teams / large audiences / enterprise-level messaging) Basic Qualifications Bachelor's degree, or equivalent work experience Seven or more years of experience in data governance strategy, planning, and policy Preferred Skills/Experience Thorough knowledge of Data Management / Governance and Risk/Compliance/Audit competencies Understanding of the business line's operations, products/services, systems, and associated risks/controls Knowledge of applicable laws, regulations, financial services, and regulatory trends Experience working in a regulatory environment, i.e. banking or financial markets Proven track record of delivering cross-functional projects /programs. Strong sense of ownership, ability to work autonomously, prioritize based on tactical and strategic objectives and escalate as needed Strong analytical, process facilitation and project management skills; ability to delegate and influence team members and Business Line key stakeholders Robust relationship building and negotiation skills; experience serving as a single point of contact for a designated Business Line Effective presentation, interpersonal, written and verbal communication skills Proficient computer navigation skills using a variety of software packages, including Microsoft Technical aptitude with experience in SharePoint, Power BI, Power Automate, Power Apps and/or Leap, Data Governance tools (e.g. Collibra, Purview) Quantitative Analytics background; experience developing data quality thresholds Training and Communications background focusing on diverse set of activities, channels and audiences The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Veeva OpenData supports the industry by providing real-time reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics. We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and customer success. As a Data Engineer in OpenData, you will take responsibility for the OpenData data processing workflows in US. You will be building and maintaining data processing tools, pipelines and reports, ensuring data quality in our reference data. We value end-to-end ownership, which gives you the freedom to determine the correct course of action, do all due diligence, and execute solutions in your own creative way. Veeva is not sponsoring H1B or supporting H1 transfers for this role. What You'll Do Build and maintain data processing pipeline and tools using state-of-the-art technologies. Work with Python on Spark-based data pipelines. Develop algorithms to build complex data relationships. Build analytical data structures to support reporting. Build and maintain Data Quality processes. Collaborate with Product team to adapt our reference data to changing demands in the market. Requirements 3+ years of experience developing data pipelines using cloud-managed Spark clusters (e.g. AWS EMR, Databricks) Fluent in Python or Java and Spark (3+ years of experience) Previous experience building tools and libraries to automate and streamline data processing workflows. Proficient with SQL / SparkSQL Hands-on experience working with a Data Lakehouse. Good verbal and written communication and proven experience of working and delivering in an Agile environment. Nice to Have Experience running data workflows through DevOps pipelines Develop data pipelines with orchestration tools (e.g. Airflow) Experience with AWS services for data processing like EMR, MWAA etc. Previous experience in the Life Sciences sector Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $75,000 - $130,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com. Work Where It's Best for You Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments. Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less. Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that. Work at Veeva. Work where it's best for you. A different kind of company. A Public Benefit Corporation. Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. × What sets us apart Public Benefit Corporation Work Anywhere Veeva Giving Corporate Citizenship Employees are Shareholders Non-Competes Public Benefit Corporation In February 2021, Veeva became the first public company to convert to a Public Benefit Corporation (PBC). Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. Veeva's public benefit purpose is to help make the industries we serve more productive and create high-quality employment opportunities. Learn More Work Anywhere Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for you. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Product teams are organized in regional product excellence hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. Read More → Veeva Giving At Veeva, we believe in giving back. Veeva's support for charitable causes is entirely employee driven because we think giving is personal and should be directed by the individual. With our 1% Veeva Giving program, each employee receives an amount equivalent to 1% of their base salary annually to support the non-profit(s) of their choice. We don't dictate favored corporate causes or ask employees to donate to specific non-profits. We never support a charitable cause in exchange for commercial advantage or preferential treatment. Corporate Citizenship Veeva's core values - do the right thing, customer success, employee success, and speed - guide our decision making and define our culture. Doing the right thing means that we are concerned about more than just financial success and return to shareholders. We recognize a responsibility to customers, employees, environment, and society.As individuals, we pride ourselves on being good people who are honest, fair, and direct. We treat others with respect. As a company, we strive to be a good corporate citizen, a positive force in the business community, active in our communities, and an example to others. Read More → Employees are Shareholders Our equity program is designed to enable the vast majority of our employees to participate. Our unique approach to awarding equity grants allows our employees to be shareholders so they can benefit financially in the company's growth. Non-Competes Veeva has taken a strong stance against the use of non-compete agreements that can limit employee opportunities. We do not require our employees to sign non-compete agreements, and we have taken legal action to fight the unfair use of these agreements by other companies because we believe such agreements limit an employee's fundamental right to work where they choose. We believe in our people and want them to be successful here at Veeva or wherever their careers take them. Read More → News and recognition Veeva in Top 100 Most Reliable Companies Fastest-Growing Company for 5 Years, Future 50 for 2 Years New York's Noncompete Bill Is A 'Big Domino To Fall'-And The Broadest Ban Yet-In A Growing Movement Against Them Veeva's Peter Gassner Combine's Today's Execution with Tomorrow's Vision Grow, contribute and be recognized "Veeva's engineering teams take a pragmatic approach to software development. We offer an ideal environment for engineers who value focus, speed and integrity in their work." Jacob Marcus VP, Engineering "I appreciate that Veeva values autonomy over alignment. As a result, we get to make decisions as a small team and ship products faster." Shilpa Chandermohan Software Engineer "As a software engineer at Veeva, I'm proud to be doing meaningful work building clinical trial software that will benefit so many people." Durward Denham Software Engineer Previous Next Other related jobs Senior Software Engineer- Infrastructure Engineering Indianapolis, United States Posted 3 days ago Senior Software Engineer- Infrastructure Engineering Columbus, United States Posted 3 days ago Senior Sustaining Engineer Engineering Boston, United States Posted 3 days ago Sustaining Engineer Engineering Boston, United States Posted 3 days ago Senior Salesforce Developer with Java Engineering Hyderabad, Asia Pacific Posted 9 days ago Senior DevOps Engineer Engineering Toronto, Canada Posted 11 days ago Explore all roles at Veeva Search Jobs

Overview LocumTenens.com has been leading the way in a booming healthcare industry since 1995. Locum Tenens is a Latin phrase meaning, "to substitute for." When hospitals are understaffed, they rely on us to find them the right temporary physicians to fill in when needed. Every associate at LocumTenens.com plays a role in getting patients seen, no matter what they studied in school or what their role is here. Located in Alpharetta, GA, we boast a state-of-the-art campus featuring world-class amenities. There's nothing ordinary about a typical day here, take a look for yourself: https://share.vidyard.com/watch/VfMVtWsvT1pn4T6nvUZxn1 . We are a Jackson Healthcare company and we are now the second largest healthcare staffing company in the U.S., serving more than 7 million patients in over 1,400 healthcare facilities. The Data Engineer is responsible for supporting and developing LocumTenens.com's business applications, utilizing multiple technologies as required by the business. The role works to design and implement efficient and effective data pipelines between various LT systems and to/from LT's data lake as needed to meet LT business and accounting needs. The DE is also responsible for data reporting & analytics activities with a focus on financial reporting and acts as part of an Agile team by participating in associated scrum ceremonies. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys analyzing and optimizing data systems and building them from the ground up. ESSENTIAL FUNCTIONS AND BASIC DUTIES: Data Engineer - 100% Creates and maintains optimal data pipeline architecture. Assembles large, complex data sets that meet functional / non-functional business requirements. Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies. Builds analytics tools that utilize the data pipeline to provide actionable insights into accounting operations, customer financials, and other key business performance metrics. Works with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keeps our data separated and secure through multiple data centers and Azure regions. Work with data, product, & technology teams to strive for greater functionality in our data systems Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues SECONDARY FUNCTIONS (IF APPLICABLE) Assists accounting team and sales operations/data team as needed May work on special data-related projects or other duties as assigned SUPERVISORY/BUDGETARY/EXTERNAL COMMUNICATION RESPONSIBILITY Communicates with external vendors and service providers as projects require QUALIFICATIONS - EDUCATION, WORK EXPERIENCE, CERTIFICATIONS Bachelor's degree in computer science or a related field or equivalent experience required 6+ years of related software development and architecture experience required 5+ years Azure Cloud experience required 2+ years of Salesforce integration experience working with APIs / SOQL queries Prior experience in designing/building data warehouse, data lake, and/or data lake house patterns from the ground up Previous Agile (Scrum/Kanban) experience required Previous staffing industry a plus KNOWLEDGE, SKILLS, AND ABILITIES Broad knowledge of the Microsoft Azure cloud platform and expertise in architecting, designing, and implementing data & analytics solutions on Azure. Experience with cloud data warehouses and data lakes (Microsoft Fabric, Azure Synapse, Azure ADLS, Azure SQL DB, Azure Blob). Solid understanding of advanced SQL techniques for querying, transformation, and performance optimization. Data Modeling: Understanding best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques. Building the semantic layer to ensure effective translation of complex data from the data marts into business terms. This includes defining dimensions, measures, hierarchies, and business logic. Proficiency in complex ETL / ELT activities for enterprise Data Integrations, including architecture design, standards establishment, and mapping documentation, with expertise in optimizing pipelines for large datasets and cloud integration (Azure tools). Skilled in building and maintaining Data integration pipelines with cloud platforms like Azure Data Factory, while also developing and enhancing data pipelines to reduce costs and improve efficiency and SLAs. Advanced or expert level of knowledge around data lake, data warehouse patterns and best practices Strong knowledge with REST APIs Familiarity with Salesforce and Salesforce APIs helpful Experience owning processes at a detailed level, subject-matter expertise Data Privacy: Knowledge of data privacy laws, including an understanding of PII data and other regulations to ensure compliance. Data Visualization/Business Intelligence: Knowledge of tools like Microsoft PowerBI Monitor and optimize the Data ETL Pipelines & performance of queries, ensuring fast response times and efficient data retrieval. This may involve indexing, partitioning, and tuning the underlying data models Ability to adhere to and exhibit the Company Values at all times Working knowledge of Microsoft Word, Excel, PowerPoint, Outlook, and Teams Strong customer service mindset Strong attention to detail Ability to build relationships at all levels Strong organizational and time management skills Ability to work independently and collaboratively Strong communication skills - both oral and written Solid critical thinking and creative problem-solving skills Ability to effectively manage multiple competing priorities in a fast-paced environment Ability to work with sensitive information and maintain confidentiality Ability to mentor, coach, and motivate others KEY COMPETENCIES REQUIRED Communicates Effectively Customer Focus & Teamwork Decision Making Develops Self Innovative Quality & Results-Oriented Resourceful & Tenacious Technical Skills PHYSICAL, MENTAL, WORKING CONDITION, AND TRAVEL REQUIREMENTS Typical office environment - sedentary with typing, writing, reading requirements. May be able to sit or stand. Speaking, reading, writing, ability to use a telephone and computer Ability to exert up to 10 lbs. of force occasionally Ability to interpret various instructions Ability to deal with a variety of variables under only limited standardization What is in it for you Company-paid benefits (Basic Life and AD&D, Short and Long-Term Disability, Employee Assistance Program, Compass Health Advocate and Transitions). Healthcare benefit options (Value Plan, High Deductible Plan with HSA, Healthcare FSA, Dependent Care FSA, Prepaid Legal Services, 529 Savings Plan, Pet Insurance). Paid maternity and paternity leave. Company sponsored 401k plan with company matching. PTO that accrues at a rate of 15 days/year for 1st year and continues to increase with tenure. Tuition reimbursement for continuing education. An opportunity to work at a state-of-the-art facility in Alpharetta which features an on-site daycare and cafeteria, world-class fitness center and wellness clinic. Disclosures Smoking/vaping and the use of tobacco products are prohibited on all Company premises, including indoor and outdoor areas, parking lots, and Company-owned vehicles. As part of our employment process, candidates who receive a conditional offer may be required to undergo pre-employment drug testing. We are an Equal Opportunity Employer and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under the law.