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Kapitus is seeking a strategic, hands-on Vice President, Data Governance to architect and execute our enterprise data governance strategy. Reporting directly to the Chief Data and AI Officer, you will be responsible for establishing, leading and maintaining enterprise-wide data governance frameworks, policies, and standards that ensures regulatory compliance and position data as a strategic asset. You will play a pivotal role in enabling Kapitus' data-driven and AI-enabled future, collaborating with business, technology, and compliance leaders to drive a culture of data stewardship, risk management, and innovation. The ideal candidate has led data governance initiatives at large finance and/or technology companies, and is equally comfortable setting strategy, prioritizing initiatives based on ROI/Cost and rolling up their sleeves to get into the details to make them successful. You are skilled at building consensus among executives on key data principles, and also ensure data integrity, security, transparency, and ethical use across the company. What you'll do: Enterprise Data Governance Framework Development Design and operationalize a comprehensive enterprise data governance framework, including governance councils, data domains, roles and responsibilities, and decision rights, ensuring alignment with business objectives and regulatory compliance. Establish enterprise-wide data governance operating models to embed data ownership and stewardship into core business functions. Define the governance structure to support AI governance, data ethics, and explainability, ensuring responsible data and model usage across emerging AI/ML initiatives. Introduce and manage a multi-tier governance body (e.g., Data Governance Council, Data Stewardship Working Groups) to ensure consistent oversight and alignment across business and technology domains. Strategic Leadership & Vision Drive the strategic vision for enterprise data governance aligned with Kapitus's transformation agenda, enabling trustworthy data for business intelligence, AI models, regulatory reporting, and operational excellence. Serve as a senior advisor to executive leadership on enterprise data risks, regulatory exposure, and data-driven value creation. Partner with Legal, Risk, Compliance, and Information Security to proactively identify governance gaps and ensure compliance with evolving regulations (e.g., GLBA, CCPA, GDPR, NYDFS, etc.). Data Stewardship & Organizational Enablement Establish and scale data stewardship programs, defining clear ownership, accountability, and escalation processes for all critical data assets. Develop enterprise-wide data literacy and enablement programs to elevate awareness of data governance, privacy, and responsible data practices at all levels of the organization. Lead change management initiatives to promote adoption of governance tools, policies, and cultural transformation around data responsibility. Data Quality, Lineage & Metadata Management Champion data quality and fitness-for-use as business-critical capabilities; oversee the deployment of data profiling, data quality monitoring, and remediation protocols across data pipelines. Implement modern metadata and data lineage solutions that leverage AI to ensure data traceability, auditability, and model explainability, supporting both internal analytics and external regulatory demands. Policy Development, Compliance & Ethical Use Create, maintain, and enforce enterprise policies and standards related to data classification, retention, security, and ethical AI usage. Collaborate closely with the Chief Risk Officer and General Counsel to ensure data use aligns with privacy laws and risk appetite. Technology & Tooling Strategy Lead the selection and implementation of enterprise-grade AI data governance platforms (e.g., Collibra, Informatica, Atlan, Alation) to enable scalable governance, stewardship, and cataloging. Partner with the Chief Technology Officer and engineering leaders to integrate governance controls into core data architectures and cloud platforms (e.g., Snowflake, Databricks). Metrics, Performance Management & Continuous Improvement Establish robust performance measurement frameworks to monitor data governance maturity, data quality KPIs, and business value realization. Implement continuous improvement processes to evolve governance practices in response to regulatory changes, business needs, and technological advances. What we're looking for: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field. 10+ years of experience in data management, data governance, or data analytics, with significant experience at large finance and/or technology companies. Proven track record of building and leading data governance programs in a regulated environment, ideally in financial services or fintech. Deep understanding of data governance frameworks (e.g., DAMA-DMBOK), data quality management, metadata management, data privacy regulations, and responsible AI principles. Experience with data governance tools (e.g., Atlan, Collibra, Informatica, Alation) and cloud data platforms (e.g., Snowflake, Databricks). Demonstrated ability to build consensus among executive stakeholders on data definitions and standards. Strong leadership, communication, and stakeholder management skills. Ability to translate business needs into data governance requirements and solutions. Experience managing cross-functional teams and driving organizational change. Preferred Experience Demonstrated success in building enterprise data governance and data management programs from the ground up in lending, banking on financial services. Ability to operate effectively in matrixed, high-growth organizations, and influence without authority. Experience operationalizing data privacy, security, and responsible AI practices. Strong understanding of data architecture, data engineering, and cloud-native data platforms. Kapitus Total Rewards Package Includes: Competitive Base Salary Range of $225,000-$325,000 Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience. Annual Incentive Compensation Eligibility - Up to 20% annually Health Insurance: We offer comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. Voluntary Insurance: Supplemental life insurance as well as enhanced short- and long-term disability coverage are available through Mutual of Omaha, providing additional security for our employees. Additionally, Colonial Accident and Hospitalization insurances are also available, offering further protection against unforeseen events. Paid Maternity and Parental Leave: Beyond state-mandated leave policies, Kapitus provides company-paid maternity and parental leave, supporting our employees during important family milestones. LifeBalance Program: Enhance your lifestyle with our LifeBalance membership, which offers discounts on outdoor activities, the arts, health, and fitness. Additional benefits include: Pet and car insurance discounts. Financial services such as LegalShield. Relaxation and stress management tools, including a fully covered annual subscription to The Calm App. Plum Benefits Discount Program: Access exclusive discounts on shows, travel, car rentals, and more, enriching your personal and family life. Tuition Reimbursement: Pursue further education with up to $5,000 annually in tuition reimbursement, plus opportunities to attend relevant conferences and career development events. Transit Reimbursement: We also offer transit reimbursement for all work-related travel, supporting your involvement in career and personal development activities. Paid Time Off and Sick Time Retirement Benefits: Our 401K plan is managed through Fidelity, featuring a 25% match on employee contributions, helping you plan for a secure financial future. About Kapitus: Kapitus is one of the most reliable and respected names in small business financing. As both a direct lender and a marketplace built with a trusted network of lending partners, we can provide small businesses with the financing they need when, and how it is needed. We have spent our entire existence building a culture that makes us excited to come to work in the morning. Our company is fast paced, teammates need to be self-directed and have an internal motivation to do the right thing, even when the right thing takes a lot of hard work. We show our teammates our appreciation by offering great benefits, competitive pay and solid opportunity for growth. Company Mission: At Kapitus, our mission is to help small business owners grow their organizations by providing tailored, transparent, and ethical financing solutions. We invest in every business owner's story and we are dedicated to building lasting relationships to champion their goals. We promise to keep the best interests of our clients at the center of the financing process by operating with transparency, fairness, and integrity.

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will engage in sophisticated data analytics, data modeling, and data technology product development to further the strategic goals of Vizient's Data Operations Technology team. You will utilize programming tools and your experiences with health care data to explore health care informatics challenges and to explore opportunities to create novel and reliable analyses/models/applications. You will steadily grow your domain knowledge and expertise with health care interoperability standards, application programming interfaces (APIs), business intelligence (BI) applications, electronic health record (EHR) systems, and enterprise resource planning (ERP) systems. You will engage directly with internal and client stakeholders to understand analysis needs, gather development requirements, provide demonstrations, and present results. Responsibilities: Use programming tools to translate business requirements into analytics, models, and applications. Generate hypotheses and analyze data to test and interpret results. Design and develop data models using machine learning and artificial intelligence tools. Identify improvement opportunities in data reporting, analytics, and processing tools, and collaborate with Vizient Technology staff to implement enhancements. Collaborate with leaders and clinicians to build analytics and informatics acumen across the organization. Communicate findings from exploratory and predictive data analysis to administrative and clinical leaders for specific projects. Leverage machine learning, natural language processing, or other statistical approaches to create, trouble shoot, and implement single platform solutions. Demonstrate functionally diverse utilization of relevant core programming tools with R, Python, and SQL. Apply task-specific mindset to address data science insights, breaking down aspects of solutions to define scope and make decisions supporting data science projects Create clear, concise, and organized communication materials including policies and procedures, guidelines, presentations, and messages. Use advanced analytical models and tools to analyze and understand big data sets. Identify and logically structure key issues and findings. Qualifications: Advanced degree preferred in applied math, statistics, computer science, econometrics, or related field. 5 or more years of experience managing large disparate data sets and using quantitative and qualitative analysis to draw meaningful and valid insights required. 3 or more years of programming experience using Python and R required. Expertise managing and analyzing large payer-sourced and provider-sourced claims data required. Knowledge of encounter and care delivery logics, geospatial logic and proxies, and payment methodologies required. Experience effectively communicating and presenting data to a variety of audiences required. Experience in developing, implementing, and validating synthetic datasets for analysis. Familiar with cloud computing environments, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform highly preferred. Familiar with health interoperability data standards such as HL7 and FHIR highly preferred. Experience working with health care administrative claims data or electronic medical record data tools highly preferred. Experience with MS SQL and with APIs preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. The Senior Data Engineer will be part of the Freddie Mac's Enterprise Risk Business Technology Office. This team is responsible for partnering with the Enterprise Risk and Compliance organizations to define strategies, roadmaps, objectives, and deliver capabilities that transform the businesses. This role will be responsible for supporting our organization's data-driven initiatives, collaborating with business partners and multi-discipline technology teams, and designing and implementing data modeling solutions! This position requires strong experience in data analysis, modeling and engineering with ability to translate complex technical issues into easily understood communications that will influence executive audiences with varied technical backgrounds and capabilities. Our Impact: Delivery of Enterprise Risk Management solutions and data to optimally assess and track all risks, issues, controls, and compliance. Delivery and support of solutions for common Enterprise Risk Management (ERM) data platform to enable effective ERM data analytics and reporting Adoption of FHFA comprehensive Regulatory Reporting modifications and resolution of outstanding data quality issues Model data to deliver reports and provide business with information and data needed to drive efficiency t and support self-service analytics Architect data integrations between ERM and other systems Present historical data clearly to facilitate strategic decisions Your Impact: Business requirements gathering and solutioning in alignment with enterprise business data strategy Architecting and documenting data warehouse solutions using data modeling Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Assist team with finding patterns and relationships in data and identifying opportunities to monitor data quality Analyze and resolve data issues Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services. Build and maintain integrations with internal and external data sources and APIs. Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency. Qualifications: Bachelor's degree in computer science, information technology or related field; advanced studies/degree preferred. 5 years' extensive knowledge and experience in the Data technologies for Data Analytics, Data Lake/Mart/Warehouse, Databases SQL/NoSQL (DB2, Oracle, Sybase, Mongo, Postgres), Big Data Technologies (Spark or PySpark), ETL (Informatica, Talend), CDC (Attunity), REST API, Integration/EAI technologies like Informatica 3+ years' experience in BI tools (MicroStrategy/Tableau), Data Management tools 3+ years' experience with Technologies including Web Service API, XML, JSON, JDBC, Java, Python. 3+ years working with SaaS platforms such as Snowflake, Collibra, Mongo/MongoDB Atlas, Knowledge of enterprise data models, information classification, meta-data models, taxonomies and ontologies. Exposure to Full stack enterprise application development(Agular, Spring Boot, Automation testing using Selenium, cucumber) 5-7 years' experience in a logical/physical data modeling, data architecture, data analysis, and data management role Experience with data modeling tools like ERwin, ER/Studio or Power Designer Experience with different query languages such as PL/SQL, T-SQL, and ANSI SQL Experience with database technologies such as Oracle, DB2, Sybase, PostgreSQL, Snowflake, S Server, MySQL, and AWS cloud databases Knowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts Risk and GRC products experience preferred Keys to Success in this Role: Ability to operate as a self-motivated, pro-active, and result-driven problem solver with excellent analytical and interpersonal skills Quick learner of new technologies, tools, concepts and ability to translate them to challenge the status quo Excellent problem-solving skills and attention to detail Effective communication and interpersonal skills Ability to work independently and in a team environment Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals 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. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

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

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. We are seeking an experienced Space Data Operations Manager to lead a comprehensive Space Data Insights program. This strategic role is responsible for managing CAFM/IWMS systems, drawing management, data governance, and reporting across the client's global real estate portfolio. The Space Data Operation Manager should have a solid understanding of Occupancy Planning and how the space data plays a role in defining the client's global real estate vision. Key Responsibilities Data Management & Governance Support alignment of CAFM data standards and governance protocols with client's teams Assist in developing and managing reporting cycles and stakeholder communications Help maintain processes for updating CAFM space and occupancy data Coordinate with JLL technology team to ensure dashboard and reporting accuracy Support timeline coordination with Site Audit Program implementation Drawing & Document Management Assist in implementing CAD drawing standards and governance procedures Support electronic document and drawing storage management on client's platforms Help manage drawing check-in/check-out processes and access controls Track and coordinate drawing mark-ups and changes with internal client CAD teams Ensure as-built environment updates are properly documented and implemented CAFM/IWMS Operations Support Support JLL Data Governance team partnerships with client resources Assist in maintaining client's space and occupancy data standards Help manage data compliance with defined standards and protocols Track space and occupancy updates through client's ServiceNow Application Collaborate with Client CAFM Admin and JLL Technology team for CAFM (Archibus) enhancements, including, but not limited to requirements gathering and production solutions. Audit & Quality Assurance Support development of global data quality and space audit processes Assist in resource recommendations for data quality process execution Help ensure continued accuracy of space and occupancy data Space Allocation & Chargeback Support Collaborate with client to create process and standards for tracking all allocation/chargeback needs Assist in managing allocation tracking and reporting processes Support chargeback data verification and CAFM tool maintenance Help create and distribute chargeback reports to client finance teams Ensure data accuracy for chargeback execution Reporting & Analytics Support timely CAFM updates for moves/adds/changes and construction activities Assist in defining and tracking "Metrics that Matter" for client's real estate objectives Help maintain interactive dashboards and summary reporting Support QBR and Annual Review preparation and execution Assist with ad hoc reporting requests and utilization analysis Support utilization tool management and coordination with development teams Required Qualifications Bachelor's degree in Business, Data Management, Real Estate, or related field 5-7 years' experience in data management, CAFM/IWMS systems, or real estate operations CAFM Experience Required, Archibus preferred. SQL Report Understanding and Writing experience Strong analytical and problem-solving skills Experience with space management software (Archibus preferred) Proficiency in data analysis tools and reporting platforms Excellent communication and stakeholder management abilities Preferred Qualifications Experience with ServiceNow applications Background in corporate real estate or facilities management Knowledge of CAD drawing management and standards Experience with dashboard development and data visualization Project management certification or experience Key Competencies Detail-oriented with strong organizational skills Ability to work collaboratively across multiple teams and time zones Process improvement mindset Strong technical aptitude for learning new systems Customer service orientation for internal stakeholder support Thought Leader in this area Location: Flexible with ability to coordinate across client's global operations Travel: Occasional travel may be required for site visits and stakeholder meetings Estimated compensation for this position: 135,000.00 - 143,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: Remote -Charlotte, NC, Chicago, IL, New York, NY If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at accomodationrequest@am.jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

About the role The Analytics team drives impact across all areas of Betterment, partnering with teams to shape strategy, identify opportunities, and influence product decisions that deliver the best experience for our customers. Projects range from building intuitive dashboards that provide a pulse on the business to performing deep dives into customer behavior that uncover game-changing insights and turning those deep dives into clear, actionable recommendations for stakeholders. As a Data Analyst, you will contribute directly to Betterment's success by conducting thoughtful data-driven analyses and delivering insights that inform business and product decisions. You will work closely with stakeholders in marketing, product, and operations to analyze performance, define success metrics, and surface trends and opportunities. You will regularly perform complex analyses, build thoughtful dashboards, and identify key trends in our data, helping teams make smarter decisions and laying the groundwork for long-term value for our customers and the company. This role is based out of our NYC office. For jobs based out of our NYC HQ, we require in office attendance Monday through Thursday, weekly. Below we've reflected the base salary range we would offer for this position. Actual salaries may vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Betterment's total compensation package for employees. New York City: $85,000 - $103,000 We offer a competitive equity package, health, dental and vision benefits, life and AD&D, short-term and long-term disability insurance, EAP, commuter and parking benefits, FSA/HSA, and 401(k)with employer match as well as a flexible PTO policy. A day in the life Perform deep-dive analyses to identify trends and translate them into actionable insights on customer behavior and product performance Develop dashboards and reporting that tell compelling stories to help cross-functional teams monitor business performance and make key decisions Collaborate with product managers and engineers to define event tracking, run A/B tests, and evaluate feature outcomes Work with stakeholders across product, marketing, finance, and operations to support strategic initiatives with data What we're looking for 2-3 years of experience in a data-focused role such as Data Analyst or Data Scientist Strong SQL skills to efficiently pull insights from our Redshift data warehouse Experience in R, Python, or similar programming for statistical analysis Experience using BI tools such as Metabase, Looker, or Tableau to support day-to-day stakeholder questions A powerful combination of technical expertise, curiosity, business acumen, and a willingness to dig deep into data to surface insights Strong communication skills with the ability to clearly explain findings to both technical and non-technical stakeholders Experience with experimentation, as well as using event data and dbt, is a plus

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: October 20, 2025

About Our Company Aflac Asset Management, LLC, (d.b.a. Aflac Global Investments) is a wholly owned subsidiary of Aflac Incorporated (Aflac). Aflac Global Investments (GI) located in New York's financial district and is the organization responsible for the overall investment activities of Aflac, Inc. and subsidiaries in Japan, Bermuda, and the U.S. With 150 employees globally, GI seeks investments to maximize long-term returns with a focus on preservation of capital, subject to our asset-liability profile and liquidity and capital requirements. GI has primary investment and asset management responsibility for Aflac's general account consisting of public, private, and growth assets (including strategic partnerships) which generates approximately $3.5 billion a year in net investment income. As of year-end 2024, Aflac's total general account portfolio was approximately $100 billion. The investment teams support GI's overall goals and objectives by providing market insight and in-depth knowledge of assigned asset classes. GI oversees the strategic deployment of capital for life and supplemental health insurance company balance sheets utilizing both internal teams and external third party asset managers. Job Summary Within Aflac Global Investments (GI), a wholly owned subsidiary of Aflac, Inc., the Vice President, Data Strategy and Governance Manager is a member of the Chief Operating Officer Team. As a member, the individual will work closely with the entire GI team to develop a Global Investments Data Strategy and Governance structure and the management of the investments data. The individual should possess strong workflow and system processes to increase the efficiency and accuracy of data used by GI investments team. In addition, having a working knowledge of investments (internally and externally) and the systematic data collection from multiple sources. Knowledge of data strategy best practices, its governance and controls. The individual should have a developed understanding of organizational, interpersonal, and communication skills (verbal and written), while knowing your audience(s) and meeting multiple deliverables with highly structured timelines. Reports to: Director, Head of Data Governance GI Business Partners: GI Front Office, Investment Compliance, GI Data Management (Japan), Investment Accounting, Tax, Treasury, Trade Operations and Information Technology globally. Key Responsibilities Work in support of the development of Aflac GI's global data strategy, enabling timely and trusted data delivery through a scalable operating model (data lineage, provenance, & traceability) Execute and advance global data strategy, providing strong leadership on all aspects of data lifecycle management (data demand, data mastering, data governance, data architecture and data provisioning) Develop and advance data governance structures, create accountabilities and guiding policies, expand the data management scope beyond security master attributes Ensure data governance framework across all data domains including data integration and management with Investment Accounting and reporting, further expanding the discipline across all data assets of the GI franchise Partner with business functions to assists in understanding client, product and business requirements and ensuring that data management processes meet the business requirements through the data life cycle. Develop data management and end to end data integrity model with investment accounting for accounting book of record / central data warehouse. Create and/or support the curation of data that provide meaningful insights into investment management, products and operational performance including all relevant investment reporting Collaborate with external providers (technology, data, services) in developing a robust and agile data architecture, platform and tooling capability (consistency, integrity, and agility of data delivery) Interface with GI Business Partners on data management initiatives, data controls and quality processes Perform regular operational reviews/audits of data quality/integrity issues and ensure timely reporting, escalations, and resolutions in line with data quality framework (to be developed) Ensure the selection and monitoring of competent and secure data services & solutions providers Ad-hoc projects Education/Experience Minimum 12 years of experience in data governance, data management role, with a robust understanding of technology and dataflow/work streams specifically in Asset Management or Insurance Asset Manager. Minimum Bachelor's degree in Finance, Economics, Mathematics, Statistics, or related field; MBA or MS in similar degree field a plus. Skills/Knowledge Working knowledge and understanding of public and private fixed income asset classes, Private Assets (Middle Market Loans, Real Estate Debt, Structured Private Credit, CLOs, Asset Backed Securities, etc), Private Equity, and Derivatives with demonstrated experience to support comprehensive data management reporting and analyses. Advanced MS Excel skills required, including logical and reference formulas, financial functions, correlation through pivots and logic, best practice structure/design, assumption toggling, and formatting for executive presentations. Extensive experience with SQL, data warehouse modelling, cloud-based database platforms and tools Python, PowerBI, PowerAutomate is a plus. Working knowledge of Aladdin, Bloomberg AIM/PORT, Bloomberg Terminal, WSO and Indus Valley Partners solutions (Security Master, Data Quality Manager, Reconciliations), SAP Financial Asset Management (FAM), or similar asset management accounting systems for the insurance industry are a plus. Working knowledge of Jira and Confluence are a plus. Global experience is plus - this includes experience with global investments, global teams, and global data governance and data management. Experience with Japanese culture would be valuable. Knowledge of building out infrastructure that supports financial and data governance concepts, practices and procedures while meeting asset management reporting requirements. Strong knowledge and understanding of financial accounting and reporting processes and requirements Strong quantitative, analytical skills with attention to detail and accuracy Please note: Aflac Global Investments' hybrid working environment requires a minimum of 3 days in the office each week The range on this positions is: $225,000 to $285,000 This compensation range is specific to the job level and takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to: education, experience, licensure, certifications, geographic location, and internal equity. The range has been created in good faith based on information known to Aflac at the time of the posting. Compensation decisions are dependent on the circumstances of each case. This salary range does not include any potential incentive pay or benefits, however, such information will be provided separately when appropriate. In addition to the base salary, we offer an array of benefits to meet your needs including medical, dental, and vision coverage, prescription drug coverage, health care flexible spending, dependent care flexible spending, Aflac supplemental policies, 401(k) plans, and generous paid time off. You'll also be granted time off for designated paid holidays and other leaves of absence, if eligible, when needed to support your physical, financial, and emotional well-being. Aflac complies with all applicable leave laws, including, but not limited to sick, adoption and parental leave, in all states and localities. We will consider for employment all qualified applicants, including those with a criminal history, in a manner consistent with the requirements of all applicable federal, state, and local laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. Applicants with criminal histories are encouraged to apply. Nearest Major Market: Manhattan Nearest Secondary Market: New York City

Benefits: Opportunity for advancement Paid time off 401(k) 401(k) matching Dental insurance Health insurance Training & development Vision insurance This is an in office position only. There will be no remote work available. Hours: Full Time- Monday-Friday The Data Analyst will be responsible for analyzing call center performance data, marketing results, and customer booking trends. This role requires someone who thrives on uncovering patterns, simplifying complex data, and delivering clear, actionable recommendations to leadership and team members. Key Responsibilities: Track, organize, and analyze incoming call volumes, booking percentages, lead sources, and conversion metrics. Build reports and dashboards that provide visibility into call center and marketing performance. Identify trends, inefficiencies, and opportunities to improve call handling, booking rates, and customer satisfaction. Partner with the call center team to optimize staffing and scheduling based on call patterns. Provide the marketing team with performance insights tied to campaign effectiveness, lead quality, and ROI. Present findings and recommendations in a clear, concise manner to both technical and non-technical stakeholders. Continuously look for ways to improve data processes, tracking methods, and reporting accuracy. Qualifications: Proven experience as a Data Analyst or in a similar analytical role. Strong skills in Google Sheets and data visualization tools (e.g., Power BI, Tableau, or Google Data Studio). Ability to organize and interpret large data sets with accuracy and attention to detail. Experience with call center or marketing data a plus. Strong communication skills, with the ability to explain complex findings in simple, actionable terms. Self-motivated, proactive, and comfortable working independently as well as collaboratively.

About Orsini Rare Disease Pharmacy Solutions Providing compassionate care since 1987, Orsini is a leader in rare disease and gene therapy pharmacy solutions, built to simplify how patients connect to advanced medicines. Through our comprehensive commercialization solutions including a nationwide specialty pharmacy, patient services hub, home infusion and nursing network, and third-party logistics provider, we work with biopharma, providers, and payors to ensure No Patient is Left Behind. Our Mission Orsini is on a mission to be the essential partner for biopharma innovators, healthcare providers, and payers to support patients and their families in accessing revolutionary treatments for rare diseases. Through our integrated portfolio of services, we seek to pioneer comprehensive solutions that simplify how patients connect to advanced therapies while providing holistic, compassionate care so that No Patient is Left Behind. LIVE IT Values At the heart of our company culture, the Orsini LIVE IT core values serve as guiding principles that shape how we interact with each other and those we serve. These values are the driving force behind our commitment to excellence, collaboration, and genuine care in every aspect of our work. Leading Quality, Integrity, Valued Partner, Empathy, Innovation, Team-First Salary Range: $70,000 - $85,000 POSITION SUMMARY Onsite Elk Grove Village, IL Responsible for advancing enterprise-wide reporting capabilities to both internal and external partners, including but not limited to, data aggregators, drug manufacturers, payers, hubs, 3PL, clinical care teams, and executive management. The positions focus is in developing and delivering automated, highly accurate and timely reporting to all business partners through electronic data exchange, reports, dashboards. The role will work with various technology platforms warehousing patient enrollment, continuity of care, dispense, medical and pharmacy claim, prescriber, inventory, financial and other data. The Data Analyst must manage many simultaneous projects and work closely with functional owners to develop a deep understanding of business needs, build, and deliver reports and analyses to meet those needs. REQUIRED KNOWLEDGE, SKILLS & TRAINING Knowledge of designing, deploying and managing reports using Microsoft Reporting Services platform (SSRS), T- SQL, PowerBI, MS Excel, Snowflake, other data processing/visualization tools Knowledge of standards and best practices used in conjunction with developing reports and dashboards using SSRS/PowerBI Data presentation and visualization Demonstrated strong interpersonal and communication skills Ability to multitask and prioritize critical projects in a fast-paced environment Proven analytical and problem-solving techniques Highly self-motivated and directed Positive attitude Experience working independently as well as in a team-oriented, collaborative environment Exceptional interpersonal, communication and customer service skills Prior experience in the healthcare, pharmacy or pharmaceutical industries preferred Knowledge of HIPAA/HITECH regulations preferred Experience working with healthcare data, including medical and pharmacy claims preferred Advanced T-SQL skills for stored procedure development, performance tuning, and troubleshooting Minimum 3 years of experience working with complex production reporting environment in both an analytics and development capacity preferred Experience working with complex multidimensional data models preferred ESSENTIAL JOB DUTIES Develop, validate, and maintain a full suite of reporting capabilities for internal and external clients Develop, build, and deliver requested reports, dashboards, and analysis Monitor performance metrics, including accuracy and timeliness of report delivery Manage multiple reporting/project requests and provide status Identify, analyze, and interpret trends and patterns in complex data sets Articulate complex results through the development of graphical reports Work closely and build rapport with internal clients across functional areas Develop a deep understanding of operations to anticipate reporting needs Continually improve project delivery timelines, accuracy, and workflows Adhere to Software Development Best Practices, Code Reviews, Root Cause Analysis and IT policies and SOP's Meet or exceed development project schedules, tasks and project completion time estimates Ensures compliance with HIPAA/HITECH while executing the strategic initiatives of the organization Maintain current knowledge to support changing technologies EMPLOYEE BENEFITS BCBSL Medical Delta Dental EyeMed Vision 401k Accident & Critical Illness Life Insurance PTO, Holiday Pay, and Floating Holidays Tuition Reimbursement

Best People + Right Culture. These are the driving forces behind JE Dunn's success. By hiring inspired people, giving them interesting and challenging work, enabling them with innovative tools, and letting them share in the company's rewards, we've found a sustainable way to grow in our industry for the last 100+ years. Aptitude, JE Dunn's strategic partner for technology integration services, was born out of the growing need to meet the increasingly complex demands of modern building projects. Our diverse teams around the country strive to enrich lives through inspired people and places every day, and we need inspired people like you to join us in our pursuit of building perfection. This position with Aptitude requires candidates to travel 100% for projects; candidates must be open to 100% travel. Project assignment/location may not be reflected in this posting. Candidates will be eligible to receive travel incentives. Role Summary The Aptitude Tech 2 will have a greater level of knowledge and experience on a variety of technical installations and be able to understand and meet a project schedule. This position will also be responsible for completing tasks personally as well as have the ability to lead and oversee a small crew. All activities will be performed in support of the strategy, vision and values of JE Dunn. Autonomy and Decision-Making: Follows directions and refers all exceptions to supervisor. Career Path: Aptitude Foreman Key Role Responsibilities- Core Installs, terminates, troubleshoots and documents test results for Category cable cabling and fiber optic lines utilizing industry standardized testers and CAT6 riser and shielded cables on patch panels and RJ-45 modular plugs. Installs cable pathway systems (cable trays, data racks, patch panels, etc.). Installs, terminates, tests, labels, and documents low voltage cabling infrastructure & fiber optic cables. Installs server racks and equipment in the MDF and IDF closets. Organizes cabling using D-rings, O-rings, clamps, cable organizers, etc. Responsible for installation of a variety of technologies including Structured Cabling, Category 6and 6A, Optical Fiber, RG-6, RG-11. Responsible for adding or repairing cabling/jacks, and fire-stop various types of cable penetrations. Dresses and routes fiber and Category cable into telecommunication data closets, modular furniture and work areas. Learns and actively participates in all aspects of the company's safety culture by demonstrating commitment to an injury free environment through individual actions and mentoring others. Works with installation tools to complete specific assigned tasks on a project. Maintains proper care and the appropriate number of tools and equipment necessary to support productions specific to a project. Understands and achieves crew production goals. Understands and maintains established quality levels associated with duties. Participates in all safety activities such as tool box talks, job hazard analysis, job site analysis and SIMS (Site Information Management System) reporting. Participates in, documents and updates punch lists. Key Role Responsibilities- Additional Core In addition, this position will be responsible for the following: Provides oversight of structured cabling projects, implementations, and initiatives. Provides on-the-job guidance and willingly shares subject matter expertise in order to support team member learning and development. Schedules/coordinates activities of internal resources such as Engineers, Field Services Technicians. Predicts resources needed to reach objectives and effectively and efficiently manage resources. Coordinates, tracks, and inventories materials (hardware, software and licensing), orders and RMAs. Resolves and escalates, as necessary, project issues impacting the provisioning effort. Schedules/coordinates resources for customer end-user and system administration training. Installs structured cabling systems including pathways, spaces, horizontal cabling, backbone copper, backbone fiber optic, cross and inter-connections, and testing. This includes understanding applicable codes, standards, and industry-best practices. Routes cabling in many different building types through the existing riser closets. Creates new pathways for cabling to route from MDF to IDF closets and to the rooftop of buildings by coring and using EMT conduit, sleeves, and PVC. Terminates, tests, labels, and documents horizontal, backbone and other cables. Oversees the execution of the cutover and post-cutover test plans. Partners with project team to document and address open punch-list issues. Knowledge, Skills & Abilities Ability to perform work accurately and completely, and in a timely manner Communication skills, verbal and written Ability to listen carefully to follow instructions Knowledge to outside plant cabling (OSP), aerial and direct buried Knowledge of fusion splicing fiber and similar optics and together Knowledgeable in coaxial termination Knowledgeable and cognizant of general safety compliance procedures as well as specific safety requirements related to cabling Demonstrated aptitude for learning from senior team members Exhibit a positive attitude High attention to detail Ability to meet deadlines Self-motivated and excellent work ethic and ability to work independently and as part of a team Ability to lift heavy and large objects, climb ladders, and work on tall buildings Ability to choose the correct tool and methodology for the given task; for themselves and can help other team members do the same Demonstrated teamwork and versatility in integrating into multiple work environments Ability to apply Lean process and philosophy Knowledge of self-perform and labor productivity Knowledge of specific trades and scopes of work Ability to read and understand blueprints, drawings and specifications Ability to build relationships and collaborate within a team, both internally and externally Education High School Diploma or GED (Required) Vocational/Technical degree in related field (Preferred) Experience 2+ years commercial construction experience 2+ years experience in Structured Cabling Experience in specialized technical courses or equivalent work experience a plus Electrician apprenticeship and low voltage experience a plus Must have experience in MDF/IDF Design and termination Experience working within active hyperscale facilities, following strict safety and security protocols (Preferred) Experience with large-scale cutovers, migrations, or turn-ups in live data center environments (Preferred) Working Environment Must be able to lift up to 50 pounds May require periods of travel May be exposed to extreme conditions (hot or cold) Must be willing to work non-traditional hours to meet project needs Frequent activity: Standing, Walking, Climbing, Bending, Reaching above Shoulder, Pushing, Pulling Occasional activity: Sitting, Viewing Computer Screen Benefits Information The benefits package aligned to this position is Professional Non-Union. Please click the link below for more details. Click here for benefits details. This role is expected to accept applications for at least three business days and may continue to be posted until a qualified applicant is selected or the position has been cancelled. JE Dunn Construction is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. JE Dunn Construction is a background screening, drug-free workplace. JE Dunn provides reasonable accommodations to qualified individuals with disabilities. If you would like to request a reasonable accommodation in order to apply for a job, please submit your request to accommodations@jedunn.com JE Dunn Construction Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of JE Dunn Construction without a prior written search agreement will be considered unsolicited and the property of JE Dunn Construction Company. Please, no phone calls or emails. Why Work at Aptitude Being a part of the Aptitude team offers a unique combination of the excitement of contributing to the growth of an innovative start-up, yet also backed by the stability of a nearly 100-year-old leader in the construction industry. We take pride in hiring smart, capable team players who are subject matter experts in a wide variety of technology systems and who enjoy the challenge of complex, yet rewarding projects. What's more, we enjoy giving back to our communities, and we like to have fun! About Aptitude For more information on who we are, click here. EEO NOTICES Know Your Rights: Workplace Discrimination is Illegal E-Verify We participate in the Electronic Employment Eligibility Verification Program. E-Verify Participation (English and Spanish) Right to Work (English) Right to Work (Spanish)

About the Role: This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland ME, Chicago IL, Boston MA, Washington DC, Dallas TX, San Jose CA, Seattle WA, or New York City NY. WEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and strategic initiatives. As we lean into our mission to "simplify the business of running a business", we're expanding our data capabilities to deliver smarter, more personalized, and automated customer experiences. We seek an experienced Senior Data Product Manager to lead the strategy and execution of our Marketing Automation initiatives. In this role, you'll define how WEX collects, unifies, and activates customer data across our business lines - Mobility, Corporate Payments, and Health - enabling data-driven marketing and engagement. Partnering with marketing, data, and technology teams, you'll drive a roadmap that enhances data quality, accelerates performance, and powers seamless, personalized customer journeys across all channels. What you will bring: How You'll Make an Impact Define the Strategic Roadmap: Develop and drive the strategic roadmap for WEX's Marketing Automation initiatives, connecting platform capabilities to key business objectives and results. Be the Voice of the Customer & Drive Continuous Discovery: Champion the needs of our customers, leading ongoing discovery to understand how automation, data, and personalization can create better customer experiences. Leverage qualitative and quantitative insights to uncover unmet needs, validate hypotheses, and shape features that improve campaign performance and engagement. Cross-Functional Leadership & Alignment: Partner closely with marketing, data engineering, analytics, and technology teams to align on shared goals and define product requirements that enable seamless customer data activation and marketing automation. Facilitate trade-off discussions, build consensus across stakeholders, and influence strategy to ensure cohesive, data-driven marketing experiences across all business lines. Execute Iteratively and Deliver Value: Translate strategy into clear user stories and product requirements that enable impactful marketing automation and data activation capabilities. Manage the product backlog, prioritize based on business value and learning, and partner closely with agile teams to deliver high-quality, iterative improvements that advance marketing performance and customer engagement. Measure Outcome and Impact: Define and track key performance indicators (KPIs) that measure the effectiveness of marketing automation and customer data initiatives, such as engagement rates, activation velocity, segmentation accuracy, and campaign ROI. Use data-driven insights to guide product decisions, optimize performance, and clearly communicate results and business impact to senior leadership. How You'll Engage Strategic Mindset: Seek to understand WEX's corporate strategy, the competitive environment and market trends and how our products can create value. Customer Obsessed: Deeply understand our customers' needs through customer empathy, data and prioritize work. Results Focused: Leverage data to understand how the product is performing and prioritize work. Insights Driven: Use qualitative and quantitative insights to drive decisions, define experiments and prioritize roadmap. Trusted Partner: Appreciate and comprehend different points of view and share information clearly and transparently with strong collaboration while knowing when to escalate. Relevant Expertise: Brings a deep understanding of the market, applied technologies and domain expertise, with a curiosity and learning mindset. What You'll Bring: 5+ years of product management experience, with a focus on marketing automation, customer data platforms, and data-driven marketing technologies, demonstrating a strong track record of delivering scalable, high-impact solutions that enable smarter customer engagement and measurable marketing outcomes. Undergraduate degree required, advanced degree is a plus. Strong SQL expertise and data warehousing knowledge, with the ability to translate complex data architectures into scalable marketing automation solutions. Comfortable collaborating with engineers and architects to drive discussions on data modeling, integration, and platform evolution that power intelligent automation and personalized customer experiences. Proven ability to translate product vision into actionable roadmaps, balancing long-term strategy with short-term priorities, and driving alignment across cross-functional teams to deliver impactful initiatives. Deep understanding of the end-to-end customer journey, with a passion for building data-driven marketing platforms that unify insights, automate interactions, and create consistent, personalized experiences across all channels. Exceptional communicator skilled at building alignment across teams and clearly conveying complex concepts to technical partners, business leaders, and senior stakeholders. Ability to navigate the complexity of data ecosystems and marketing technologies, anticipating integration challenges, and driving solutions that enable scalable, connected customer experiences. 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: $113,000.00 - $150,000.00

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

SUMMARY/JOB PURPOSE: The Associate Principal IT Product Lead, Data and Analytics, will lead a portfolio of Data and Analytics products critical to Exelixis' success and ambition to launch innovative medicines for patients. This role is pivotal in driving the strategy, development, and operational excellence of our data and analytics applications ecosystem, ensuring alignment with business objectives and a strong focus on user experience and value delivery. Operating within a product-centric model, the Associate Principal IT Product Lead will be responsible for defining product roadmaps, fostering cross-functional collaboration, and leading agile product teams to deliver innovative and impactful digital solutions that accelerate drug discovery, development, and commercialization. ESSENTIAL DUTIES AND RESPONSIBILITIES Product Strategy & Roadmap (Product-Centric Focus): Support the development and execution of the vision, strategy, and roadmap for Data and Analytics products within the Digital Applications job family (e.g., Pharma Supply Chain, G&A). Partner with senior product leads and business stakeholders (e.g., Pharma Supply Chain, G&A) to gather insights, understand user needs, and translate them into clear product requirements and user stories. Contribute to market research, competitive analysis, and technology assessments to inform product planning and identify innovation opportunities. Assist in prioritizing product initiatives by evaluating business impact, technical feasibility, compliance needs, and resource constraints. Collaborate with architecture and engineering teams to ensure digital solutions are designed and built securely and in alignment with enterprise standards. Product Development & Delivery (Agile/Product Team Leadership): Support the Principal Product Lead in mentoring Business Analysts and other digital application team members, encouraging a culture of ownership, innovation, and continuous improvement. Contribute to managing the product lifecycle from ideation through launch and post-launch optimization, applying Agile methodologies (e.g., Scrum, Kanban) to ensure efficient delivery. Assist in defining clear user stories, acceptance criteria, and product specifications that align with the product vision and business objectives. Collaborate with engineering, architecture, and quality assurance teams to help ensure timely delivery of scalable, secure, and high-quality Data and Analytics applications. Coordinate with external vendors and service providers to support alignment on product roadmaps and delivery operations. Promote user-centric design by incorporating user research, usability testing, and feedback into product enhancements. Stakeholder Management & Cross-Functional Collaboration: Act as a key liaison between IT and business functions, helping to translate technical concepts into business language and vice versa. Build collaborative relationships with stakeholders to support alignment of product vision, priorities, and outcomes. Facilitate communication and coordination across product, business, and IT teams to support effective decision-making. Represent the product team in cross-functional discussions and contribute to strategic initiatives as needed. Operational Excellence, Quality & Compliance: Support efforts to maintain the operational stability, performance, and security of Data and Analytics applications in collaboration with IT operations and infrastructure teams. Assist in managing vendor relationships and third-party software solutions that support the digital application portfolio. Help ensure compliance with regulatory requirements (e.g., GxP, HIPAA, GDPR) and internal quality and security standards across product releases. Contribute to quality assurance processes to ensure product releases meet defined standards. Actively contribute to the Implementation and maintenance of robust data management & AI practices to protect sensitive information and ensure its accuracy and reliability. Track and report on key performance indicators (KPIs) to assess product success, adoption, and business impact, and support continuous improvement efforts. SUPERVISORY RESPONSIBILITIES: No supervisory responsibilities. EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS Education: Bachelor's degree in related discipline and 11 years of related experience; or Master's degree in mathematics or statistics or engineering, and 9 years of related experience. PhD degree in a related discipline and 5 years of related experience; or Equivalent combination of education and experience. Experience/The Ideal Candidate will have: Minimum of 6 years of experience supporting Enterprise IT enabling business functions. Minimum of 8+ years of progressive experience in IT, with at least 6+ years in a leadership role focused on Data and Analytics applications or product management within the life science or pharmaceutical industry. Proven experience leading product development teams in an agile/product-centric operating model is essential. Strong understanding of the drug discovery or clinical development, or commercialization lifecycle within a pharmaceutical or biotechnology company. Demonstrated success in defining and delivering complex data and analytics products that drive significant business value. Advanced Proficiency and experience in data visualization tools like Tableau, Power BI or Spotfire Strong experience with AWS cloud analytics services and architecture (data mesh, data lakes, Redshift, S3, etc.) and big data processing (Databricks/Spark) Experience with regulatory frameworks and compliance in a GxP environment. Knowledge / Skills: Exceptional leadership and team-building skills, with the ability to inspire and motivate diverse teams. Strong strategic thinking and problem-solving abilities, with a data-driven approach to decision-making. Excellent communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively at all levels of the organization. Skilled in cloud data engineering (AWS), big data processing (Databricks, Spark), ETL, data modeling, and security. Expert in SQL, Python, and Tableau for clear data visualizations and data-driven storytelling. Deep understanding of product management methodologies (e.g., Agile, Scrum, Kanban) and product lifecycle management. Solid technical acumen with the ability to understand complex IT architectures and development processes. Ability to manage multiple priorities in a fast-paced, dynamic environment. Occasional travel may be required to other company sites, conferences, or vendor locations. #LI-EZ1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $167,000 - $237,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company's growth, apply now! What you'll be doing Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes Assess the effectiveness and accuracy of new data sources and data gathering techniques Understand and apply proper risk framework to your analysis and modeling. Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions Collaborate cross functionally to implement models and monitor outcomes You'll bring the following required skills and experiences 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc Credit and / or Fraud Risk modeling experience in consumer finance is nice to have Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions Experienced in using Python for analysis and modeling Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.) Excellent cross-functional communication skills Ability to thrive in a fast-paced environment $210,000 - $280,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $210,000 - $280,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail careers@varomoney.com with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/

As a member of the Information Systems Department, the Senior Enterprise Applications and Data Architect is responsible for assessing, developing, and maintaining architecture components within the application portfolio while monitoring and governing its associated data within the environment. ESSENTIAL FUNCTIONS: Assist in the road mapping of the application and data portfolio and develop transition plans for moving from the current to future solutions within the environment. Plans, directs, and coordinates the standardization of data between various on premise and cloud platforms. Identify workflow process inefficiencies and implement changes to improve the productivity, efficiency, and/or cost-effectiveness of products or services. Review application architecture and data integration options and make recommendations to IS management for possible implementation with on premise or cloud hosted solutions. Serve as the Project Manager on new enterprise-wide applications or updates to existing applications, as assigned. Create project plans, track budgets, monitor deadlines, and project team performance. May serve as a project member on projects run by other team members or manager. Lead the testing of new software or new versions of software. Create and maintain test environments for each of the enterprise-wide applications, including server specifications and software installations, integrations, and customizations. Create and maintain testing scripts for all enterprise-wide applications; manage testing teams and procedures and analyze test results. Create and maintain production environments for enterprise-wide applications, including server and desktop specifications, client software packaging, server software installations, integrations, and customizations; submit Change Management forms for approval per IS procedure; schedule work with vendors; perform installations or upgrades, final testing and close monitoring after installation or upgrade. Resolve and respond to Help Desk tickets related to enterprise-wide applications, plus all other applications as needed; note trends; perform troubleshooting; perform problem management, including escalating to other teams and to vendors as needed. Keep current on patches and releases related to enterprise-wide applications; review release notes; track resolutions to existing software problems; recommend updates to install. Interface with vendors, industry peers, and professional associations to keep informed of existing and evolving industry standards and technologies. ADDITIONAL FUNCTIONS: Maintain a high level of knowledge in all enterprise-wide applications via release notes, documentation, vendor dialogue and training classes. Assist, teach and mentor Applications Analysts, Administrators, and Engineers on the team. Other related job duties, as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES): Education: Bachelor's degree in computer science preferred. Experience: Minimum of ten years of extensive experience managing enterprise-wide applications and, preferably in a law firm. At least five years of related work experience with cloud data analytics platforms technologies. (Azure, AWS, Snowflake, etc.) Knowledge, Skills, & Abilities: Solid project management skills, operating as part of a team organizing, planning, and executing small to large-scale projects from the envisioning stage through implementation. Demonstrate a knowledge and understanding of enterprise system integrations, such as: Multi-cloud integrations Data movement (ETL/ELT) Data architecture (Snowflake, MS Fabric) Data Preparation (Azure Data Factory) Data Consumption and Visualization (PowerBI) Infrastructure, server, operating systems, and network communications knowledge. Process-minded with a strict regard to details. Strong ability to install and maintain any enterprise-wide application, including servers, customizations and integrations, load balancing, disaster recover procedures. Knowledge of SQL server and SQL scripting. Extensive Knowledge of various Microsoft technologies including Azure AD, Azure AD Application Proxy, Power Bi, OneDrive, and Azure Virtual Desktop remote app streaming. Certification in Microsoft 365 Enterprise preferred. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. COMPENSATION & BENEFITS The salary range for this position applies to Atlantic City, Chicago, Denver, Las Vegas, Los Angeles, Minneapolis, Morristown, New York, Princeton, San Francisco, Seattle, and Washington, D.C. The salary range reflects a variety of factors that are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the range for a position. A reasonable estimate of the current range for this position is $140,000 to $175,000. For information on Fox Rothschild's compensation and benefits visit: Compensation & Benefits (foxrothschild.com) DISCLAIMER The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: This is an office centric role requiring working in the office four days per week in one of the locations listed on the requisition. Identifies business unit data critical business process and critical data elements in alignment with Enterprise Data Management and Governance established policies, standards, and procedures. Ensures data controls are implemented and maintained to effectively support the execution of business processes. Participates in domain working groups, best practices forums, and data management routines to stay informed of industry trends and support the accuracy and completeness of data through the supply chain. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Supports the definition and validation of business-critical processes and the associated critical data elements (CDEs) that support them. Business Metadata Management: a. Onboard new CDEs that are specific to corresponding Business Unit or Corporate Group - collaborate with Technical Data Stewards. b. Propose new CDEs and Data Domains to Data Domain Working Group for approval - collaborate with Data Domain Working Group. c. Review assigned CDEs and their business metadata on an established frequency basis - collaborate with Metadata Center of Excellence (COE). d. Discover and execute CDE change requests - collaborate with Metadata COE; Technical Data Stewards. e. Submit CDE change requests for approval to Data Domain Working Group - collaborate with Data Domain Working Group, Metadata COE, and Technical Data Stewards. f. Perform business process and traceability mapping - collaborate with Business Unit / Corporate Group representatives, Metadata COE and Technical Data Stewards. g. Review trusted source assignments - collaborate with Technical Data Stewards. Data Quality: a. Define Data Quality rules and standards for corresponding Business Unit or Corporate Group. b. Collaborate and coordinate with Data Quality Lead and team, Data Quality Issues Management Group, and Data Domain Working Group to align Data Quality rules and standards for corresponding Business Unit or Corporate Group with enterprise-level Data Quality rules and standards - collaborate with Data Quality COE Lead and team, Data Quality Issues Management Group and Data Domain Working Group. c. Partner with Technical Business Stewards to enroll and implement Data Quality rules for corresponding Business Unit or Corporate Group into appropriate systems- collaborate with Technical Business Stewards. d. Monitor Data Quality activities, track data issues and risks, and develop associated mitigation strategies for corresponding Business Unit or Corporate Group. e. Participate in Data Quality Issue Management Group and provide Corporate Group- or Business Unit-specific information - collaborate with Data Quality Issue Management Group. f. As member of Data Quality Issue Management Group and/or Data Domain Working Group, escalate Data Quality issues and considerations as necessary to the Enterprise Data Governance Council - collaborate with Enterprise Data Governance Council. g. Assist in resolving Data Quality Issues, either as part of Business Unit / Corporate Group or as part of the Data Quality Issue Management Group or as part of the Data Domain Working Group - collaborate with Data Quality Issue Management Group; Data Domain Working Group. Enterprise Metadata Repository / Metadata Catalogue: a. Onboard new CDEs' related business metadata - collaborate with Metadata COE. b. Update central metadata repository with business metadata content (business terms, definitions, classifications, and business and Data Quality rules) - collaborate with Metadata COE and Technical Data Stewards. c. Review CDEs' metadata on an established frequency basis - collaborate with Metadata COE. d. Discover and execute CDE metadata update requests - collaborate with Metadata COE. e. Get CDE metadata change requests approved with Data Domain Working Group - collaborate with Data Domain Working Group. Data Privacy, Security, Retention and Archiving: a. Define Data Privacy rules and align them with the Enterprise Privacy Policy in collaborate with Chief Privacy Officer. b. Further responsible for defining archiving, retention, and data destruction requirements for CDEs for corresponding Business Unit or Corporate functions in collaboration with the CDAO and Chief Privacy Officer. c. Monitor data security for data elements for corresponding Business Unit or Corporate Group. d. Report or escalate data privacy issues to Data Privacy Group - collaborate with Chief Privacy Officer and team. e. Review data requirements to enable compliance with Privacy Policy and other similar corporate policies and documents - collaborate with Chief Privacy Officer and team. f. Enable the application of corporate strategy, policy, and ethics for all consumers of data from given Business Unit or Corporate Group. g. Monitor data for alignment with national and regional regulations as well as with corporate ethical standards. Data Sharing, Access Control and Data Transfer: a. Define Data Privacy rules and align them with the Enterprise Privacy Policy in collaborate with Chief Privacy Officer b. Further responsible for defining archiving, retention, and data destruction requirements for CDEs for corresponding Business Unit or Corporate functions in collaboration with the CDAO and Chief Privacy Officer. c. Monitor data security for data elements for corresponding Business Unit or Corporate Group d. Report or escalate data privacy issues to Data Privacy Group - collaborate with Chief Privacy Officer and team. e. Review data requirements to enable compliance with Privacy Policy and other similar corporate policies and documents - collaborate with Chief Privacy Officer and team. f. Enable the application of corporate strategy, policy, and ethics for all consumers of data from given Business Unit or Corporate Group. g. Monitor data for alignment with national and regional regulations as well as with corporate ethical standards. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree or equivalent and two years of related experience or equivalent education and related training or experience Solid understanding of principles, practices, theories, and/or methodologies associated with the data stewardship/management Previous experience in planning and managing IT projects Preferred Qualifications: Three years of related experience Banking or financial services experience General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Robot Data Processing Specialist THE JOB As a Robot Data Processing Specialist, you will be responsible for managing the end-to-end lifecycle of data collected from robotic systems - from structured collection and parsing, to cleaning, formatting, visualization, and preparing datasets for machine learning and engineering teams. This role requires technical fluency in robot data formats, basic scripting, and a strong focus on data quality and structure. THE DAY-TO-DAY Collect and organize multimodal data generated from robot operation sessions (video, IMU, joint state, control inputs, etc.) Parse and process structured robot data using formats such as Protobuf, ROS bags, and URDF Visualize robot movement and sensor data using Foxglove or custom dashboards Perform routine data cleaning, integrity checks, and filtering of corrupted, noisy, or incomplete data Maintain internal dataset structure, metadata consistency, and naming/versioning standards Collaborate with robotics engineers and ML teams to ensure data is usable, labeled, and scalable Contribute to improving data pipelines and internal tooling for automation and visualization THE IDEAL CANDIDATE You're deeply organized, hands-on, and understand the value of structured, clean data in robotics and AI systems. You've worked with real robot data or simulation logs, and you're comfortable reading URDF files, visualizing sensor data, or scripting to clean and format logs. You might not be a full ML engineer, but you know what high-quality training data looks like - and how to build it. QUALIFICATIONS Familiarity with robotics data structures: URDF, Protobuf, ROS topics/bags Experience with robot data visualization tools such as Foxglove. Proficiency in Python or other scripting languages for automation, parsing, and formatting Strong understanding of Linux environments, file systems, and version control Experience working with large data sets in robotics, simulation, or embedded systems Background in Machine Learning or Data Annotation workflows is preferred Bachelor's degree in Computer Science, Robotics, Data Engineering, or a related field

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