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Office of the Illinois Secretary of State Alexi Giannoulias Job Title:      Chief Data Officer (Data Systems Administrator) Division:        Administration Union:            N/A Location:       501 S. 2 nd St., Springfield, IL - Sangamon County Salary:           Range $6,904 to $13,522 monthly – commensurate with experience Benefits:         https://cms.illinois.gov/benefits/stateemployee.html Overview: Leads and directs a statewide enterprise data program through subordinate supervisory staff, overseeing technical, professional, and analytical teams responsible for data governance, data architecture, data quality, and enterprise data management activities. This role is responsible for establishing a vision and strategy for data across the organization, ensuring its alignment with business goals, compliance requirements, and enterprise architecture standards. Duties and Responsibilities: Program Leadership and Oversight - Through subordinate supervisors, plans, organizes, directs, and evaluates the work of data analysts, data stewards, architects, and technical staff supporting enterprise data initiatives, including data quality assessment, metadata management, master data management, and governance policy enforcement. Participate in hiring and workforce planning activities for the Enterprise Data Management team. Enterprise Data Governance Frameworks and Standards - Develops and implements procedures, policies, and governance frameworks for enterprise data use across all departments. Establishes standards for data stewardship, metadata, lineage, and classification. Approves or refines recommendations from subordinate staff regarding department-specific data governance implementation, ensuring consistency and scalability across the organization. Strategic Planning and Policy Development - Analyzes and recommends data strategy enhancements and enterprise-wide data management policies to the Department Director. Leads the creation of long-range data plans that support enterprise goals and digital transformation efforts. Identifies data architecture enhancements, oversees enterprise data integration planning, and ensures alignment with statewide technology initiatives. Consultation and Advisory Services - Serves as the enterprise advisor to division managers statewide regarding data strategy, governance adoption, data-driven decision-making, and compliance with regulatory and internal standards. Provides guidance on organizational readiness for advanced analytics, data modernization efforts, and new data technologies. Budgetary and Investment Planning - Provides expert consultation on the development of proposed budgets related to enterprise data systems, platforms, and tools. Reviews and advises on strategic investments in data technology and services, ensuring cost-effectiveness and alignment with data strategy and business needs. Stakeholder Engagement and Communication - Maintains ongoing communication and engagement with department leaders across all divisions to advocate for enterprise data initiatives and educate teams on data governance practices. Leads forums, working groups, and training initiatives to foster a data-literate culture. Maintains contact with external data platform vendors, regulatory bodies, and industry peers to stay informed of data management advancements and opportunities for the Office of the Secretary of State. Performs other duties as required or assigned. Education and Experience: Requires knowledge, skill and mental development equivalent to completion of four years college preferably with courses in computer science, management information systems, mathematics or statistics supplemented by a master's degree in computer science or a related field and two years of managerial experience in a computer-based management information system. Knowledge, Skills and Abilities: Requires thorough knowledge of management information system, data base administration, systems analysis and computer communication systems. Requires thorough knowledge of the principles of organization, management and administration. Requires extensive knowledge of research and statistical procedures, program budgeting and systems modeling. Requires ability to implement program evaluations or system assurance. Requires ability to anticipate and resolve managerial problems. Requires willingness to travel and possession of a valid Illinois driver’s license as required by individual positions within the class. Requires the ability to lift, carry, and push/pull 0-50 lbs. Application Process:  Please visit  https://ilsos.applytojob.gov/apply  to apply by completing the online application; you may also upload a resume or other attachments as needed . Preference will be given to Illinois residents in the hiring and selection process, in accordance with the Illinois Secretary of State Merit Employment Code. Questions regarding this posting or Illinois Secretary of State employment practices may be directed to Job Counselors at our Personnel offices in Chicago (312-793-5515) or Springfield (217-782-4783).     Equal Employment Opportunity Employer. Applicants must be lawfully authorized to work in the United States. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, sexual orientation, age, marital or veteran status, or the presence of a non-job-related medical condition or disability. Powered by JazzHR

Company Overview: Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500's, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company. Position Overview: We are seeking a Databricks Data Architect who can own Lakehouse design and governance and represent that vision in front of clients. You'll spend most of your time embedded with delivery squads—modeling data, tuning clusters, and enforcing standards—but you'll also step into discovery workshops, help scope solutions, and support pre-sales conversations when deep architectural insight is needed. Responsibilities: Client Engagement & Solution Development Act as the primary technical liaison during key engagements—translating business goals into architecture that both sides understand. Lead discovery workshops and roadmap sessions to surface requirements, constraints, and success metrics, then map them to scalable Databricks patterns. Partner with account & sales teams to shape estimates, reference architectures, and bill-of-materials for proposals and SOWs. Provide architecture-level answers for RFPs/RFIs and join pitch calls when deep Databricks credibility is essential. Mentor client technical leads during early project phases to ensure knowledge transfer and long-term success. Lakehouse Architecture & Design Design logical/physical models, storage layers, and streaming/CDC patterns with Delta Lake and Unity Catalog. Architect multi-cloud Databricks solutions (AWS, Azure, GCP) covering ETL/ELT, structured streaming, and governance zones. Governance & Security Define catalog/permission models, retention policies, and lineage artifacts to meet HIPAA, SOC 2, GDPR, and similar frameworks. Implement row-/column-level security, tokenization, and end-to-end audit logging. Performance & Cost Optimization Tune cluster sizing, Photon/SQL Warehouse configs, Z-Ordering, and auto-compaction to hit SLA and cost targets. Instrument dashboards for query latency, job runtimes, and spend. Implementation Leadership Lead design reviews, pair with engineers on PySpark/Scala, and sign off on pull requests before production. Publish best-practice templates, Terraform workspace bootstraps, and CI/CD guidelines. Cross-Functional Collaboration Work closely with Platform Ops, Security, Analytics, and Product teams to translate requirements into production-ready data solutions. Host lunch-and-learns and brown-bag demos to level-up Databricks skill sets across Blue Orange. Requirements: 5–7 years building cloud data platforms; 3+ years hands-on with Databricks. Deep expertise in Delta Lake ACID, Unity Catalog, and Spark performance tuning. Proven experience architecting Lakehouse or Cloud DW solutions on two or more major clouds. Strong SQL + PySpark/Scala; working knowledge of dbt, Airflow, or similar orchestrators. Databricks Data Engineer Professional certification (or ability to earn in 90 days). Excellent communication skills for client workshops, documentation, and mentoring. Ability to engage with and communicate effectively with clients at all levels developing technical solutions that solve their challenges and/or advance their interests. Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field, or equivalent experience. Ability to translate complex technical concepts into understandable terms; adept at engaging and influencing senior management and non-technical stakeholders. Exceptional communication, presentation, and interpersonal skills, particularly adept at conveying complex technical concepts effectively to non-technical audiences with ease. Self-directed and motivated with a results-driven approach, capable of achieving deliveries and outcomes independently with limited external direction. Eager to learn and adapt in a rapidly evolving tech landscape. Ability and willingness to travel as required to meet clients and attend industry events. Preferred qualifications: Experience as a Databricks Champion within your organization. Experience migrating legacy Hadoop/Snowflake/Redshift to Lakehouse. Familiarity with MLflow, Feature Store, and Databricks Model Serving. DataOps/CI-CD for notebooks and IaC (Terraform, Azure DevOps, GitHub Actions). Domain depth in one of our focus verticals (FinTech, Sports Analytics, Manufacturing, etc.). Experience with transactional data systems and stacks, such as Java, Spring Boot, Kafka, SQL Server, Postgres, MongoDB, as well as microservices, message queues, actor-models, event-driven architectures, etc. Experience consulting in any of the following vertical industries: Financial Services Healthcare Retail/CPG Manufacturing Travel & Hospitality Experience working with ERP systems such as SAP, Oracle Netsuite, Microsoft Dynamics, JD Edwards, Oracle, Sage, Workday, etc. Engineering certifications in Databricks (beyond pro), Azure, AWS, GCP, Snowflake, and related tools. Experience serving as a consultory liaison between clients and our technical teams. Engage with senior-level stakeholders to understand their business challenges and articulate clear, compelling technical solutions aligned with their strategic goals. Self-starter, proven abilities leading complex client engagement deliveries, often with ambiguity and little direction. Masters, MBA, or other advanced degree a plus. Benefits: 401k Matching Unlimited PTO 100% remote role with an option for hybrid Healthcare, Dental, Vision, and Life Insurance Paid parental/bereavement leave Home office stipend Salary : 165,000 - 185,000 annual salary (USD $) Background checks may be required for certain positions/projects. Blue Orange Digital is an equal opportunity employer.

Description Summary Our Enterprise Data Governance team is growing, and we’re looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes pertaining to data use and reporting. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington’s journey to being a data driven organization. The Data Risk Lead supports enterprise data governance capabilities and partners across the bank developing documentation of policies and processes related to data use, reporting and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, leading and documenting meetings with stakeholders across the enterprise involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics and reporting teams as we develop data solutions to better serve our customers, support our communities, and make our colleagues’ lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Primary Duties and Responsibilities: Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Lead process walkthroughs with business and technical stakeholders to understand and validate regulatory reporting production processes and related data supply chains Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead the design and enablement of technology and processes upon which the data rules are enforced . Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications: Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Ability to constructively challenge requirements and current state to increase overall value to the organization High level of organization and attention to detail Strong critical thinking and creative problem-solving skills Effective communicator (written and verbal) Self-starter attitude with the ability to work independently and as part of cross-functional teams Prior experience with regulatory reporting, auditing, risk management, and/or data management at a large financial institution Experience in strategy, process improvement, management consulting is a plus Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Company: Oliver Wyman Description: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients’ top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow’s risks and can optimize operations for the future. Above all, we work collaboratively with our clients’ leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects – and no two OW Digital projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist , you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain’s state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don’t care whether you’re loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients’ problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We’re serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We’ve worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman’s status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here—and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We’ll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you’ve read, we’d love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search. And please include a short note introducing yourself and what you’re looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com . Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and 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. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse. Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. You are a champion for data privacy and integrity, and always act in the best interest of consumers. Target base Salary for this role is $182,250 - $297,640 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com Please review our Candidate Privacy Notice here .

We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic enviornment and work closely with a goverment customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties Establish Data Environments, and serve as the data visualization subject matter expert. Create and translate trend, time-series, and predictive analyses, and facilitate statkeholder decision-making technical exchange meetings. Participate in hands on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management. Strong math, coding and analytical skills are essential to complete job requirements successfully. Qualifications Current TS/SCI with Poly is required. Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with Programming languages like Python, Java, SQL and Cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired Skills: Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Have experience working in Agile and DevOps environments.

Job Description At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals. EisnerAmper is seeking an accomplished Enterprise Data Architect - Data Engineering leader to spearhead the strategic evolution of our enterprise data architecture. This pivotal role blends visionary data architecture leadership with deep technical expertise in data engineering, with a strong focus on modern data platforms, unstructured data acquisition, and enterprise-scale integration. The ideal candidate will possess a robust architectural mindset and champion the design and governance of data solutions that power analytics, artificial intelligence (AI), and operational intelligence across the organization. This position requires a hands-on leader who thrives in complex enterprise environments and can balance strategic oversight with technical execution. What it Means to Work for EisnerAmper: You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry You will have the flexibility to manage your days in support of our commitment to work/life balance You will join a culture that has received multiple top "Places to Work" awards We believe that great work is accomplished when cultures, ideas and experiences come together to create new solutions We understand that embracing our differences is what unites us as a team and strengthens our foundation Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work What Work You Will Be Responsible For: Enterprise Data Architecture & Strategy Define, evolve, and enforce a comprehensive enterprise data architecture that enables scalability, flexibility, and interoperability across cloud and on-premises systems. Architect solutions that integrate structured and unstructured data sources, including documents, logs, and notes, into a unified analytics ecosystem. Establish the architectural vision for data lakes, data warehouses, and real-time data ingestion pipelines, ensuring alignment with business and technology roadmaps. Provide strategic leadership in data governance transformation initiatives, enhancing data literacy, responsible data usage, and fostering an agile, collaborative team culture. Data Engineering Design of intelligent data pipelines that extract, normalize, and store data from disparate structured sources (e.g., ERP [SAP], CRM, COTS and custom applications) and unstructured sources (e.g., documents, text files, APIs, notes) leveraging tools such as Azure Data Factory, Dataflows Gen2, Lakehouse, Warehouse, and other Microsoft Fabric components for structured and unstructured data ingestion and enrichment and storage. Extensive experience transitioning ETL workflows to CI/CD-based ELT pipelines, significantly reducing operational costs and enhancing agility. Leadership & Stakeholder Collaboration Provide architectural directions to cross-functional data engineering teams and oversee execution across onsite and offshore units. Serve as a trusted advisor to business and technology executives, translating complex business needs into scalable data architectures. Data Governance, Security & Compliance Define and promote enterprise-wide data governance policies, metadata standards, and lineage tracking for both structured and unstructured data assets. Assist in the definition of enterprise wide data security standards. Champion the adoption of data cataloging tools, automated classification systems, and lineage tracking solutions to support a governed and trusted data ecosystem. Architecture lead for enterprise-wide data governance frameworks, emphasizing GDPR, CPRA, CCPA compliance, and structured data classification standards to minimize regulatory risks. Analytics, AI & BI Enablement Architect environments that support advanced analytics, machine learning, and AI-driven insights-making both structured and unstructured data accessible, reliable, and actionable. Assist in evaluating new technologies and features for enterprise BI and promoting a self-service analytics culture. Basic Qualification: 15+ years of progressive experience in Data Engineering and Architecture, with deep technical expertise in the Microsoft data stack (SQL Server, SSIS, Power BI, SSRS, SSAS). 3+ years in an architectural leadership role guiding enterprise data strategy. Preferred/ Desired Qualifications Proven experience with cloud data platforms such as Azure Data Factory, Azure Synapse, and Azure Data Lake. Demonstrated success in architecting unstructured data ingestion pipelines using tools such as Azure Cognitive Services, Python, NLP, and big data technologies. Strong foundation in data modeling, dimensional modeling, and building scalable data integration frameworks. Master's degree in computer science, Information Systems, or a related field. Experience working in regulated environments such as professional services, financial services, or audit. Certifications in cloud architecture or data management (e.g., Microsoft Certified Azure Architect, CDMP). Exposure to AI/ML data pipelines, real-time analytics, graph databases, and data mesh principles. EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law. About our Technology Team: Technology is enhancing the ways we operate at every level of the firm, and the EisnerAmper Technology team is the driving force for that. Unlike your average IT team, you won't find us simply administering technology, but serving as strategic advocates to deliver solutions that bring measurable, positive change for all our clients. Because we pivot fast and always embrace new perspectives, we're creating a culture of technology across every department based on value and a true understanding of the business. By serving as partners to leaders throughout the organization, rather than as a resource, our Technology employees are accountable to each other and themselves to create a tangible impact based on results. The way we see it, there is always something new we can start, stop doing, or reimagine. With this mentality, we don't let perfection get in the way of innovation. If you have a theory, you'll have the autonomy to innovate, iterate, and collaborate to see it through. Because to us, there are no bad ideas-only avenues for us to grow as a team and individuals. About EisnerAmper: EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. Should you need any accommodations to complete this application please email: talentacquisition@eisneramper.com #LI-JR1 Preferred Location: Iselin

Position: Senior Data Analyst (TRICARE Encounter Data) Location: Falls Church, VA Work Environment: Hybrid Clearance Required: None Status: Contingent Upon Contract Award Knowesis is seeking a Senior Data Analyst to support TRICARE Encounter Data (TED) reporting to the DHA TRICARE Health Plan Directorate, Performance Analysis Transition and Integration Section, by providing technical expertise in data analysis and TRICARE performance data reporting. To be eligible for this position, candidates must possess U.S. Citizenship without the need for sponsorship, both now and in the future. Applicants without proof of U.S. Citizenship will not be considered due to the position’s security clearance requirements. The Job Duties and Responsibilities include but are not limited to the following: Analyze and evaluate data, functional requirements and business processes to facilitate the successful integration, implementation, and maintenance of the purchased care TED systems and business processes. With Government oversight, compile, prepare and distribute the daily Benchmark Cycle Plan to the Solutions Delivery division (SDD.) Run the TED EER reports daily, weekly, monthly and quarterly for both Benchmark and Production environments. Monitor transaction errors from TED EER reports for Benchmark and Production environments. Analyze the cause(s) of TED errors and provide written recommendations to resolve the issues, which include, but are not limited to proper data elements and code values to be used. Produce data extracts/reports using standard tools to verify data quality and usage. Update TED reference tables on a routine and ad hoc basis. Schedule and monitor monthly meetings with the contractors to discuss and resolve TED edit errors. With Government oversight, coordinate the TED system workgroup which includes discussions on the two-way interfaces that process TED and provider records. Provide the workgroup and TED program manager with updates to all issues being tracked that involve TED development resources. Document and monitor all TED system changes. Coordinate release priorities with Health Information Technology’s (HIT) SDD and TED developers As sanctioned by the Government, monitor and participate in discussion/meetings for all disaster recovery tests pertaining to the Purchased Care Contracts. Maintain and modify Business Objects (BO) reports as needed to support the monthly reporting of TRICARE Encounter Data (TED) claims processing performance against DHA claims processing performance standards. Create and maintain monthly TED Performance Reports utilized in the Performance Assessment Tracking tool; this includes: Running TED Monitoring (TM), reports for each TRICARE purchased care contract; Analyzing report data; Verifying and correcting report discrepancies; Updating contractor performance worksheets; Mitigating system/application discrepancies; and Responding to DHA Program Office inquiries. Assist in the generation and issuance of contractor monthly performance reports Research and answer TED-related questions as they pertain to TM report results and when necessary, coordinate responses on behalf of the Government with Government Program Analysts. Attend DHA application/system support change meetings with Government Program Analyst and provide input and clarification of application/system change requirements. Organize and document Government system change requirements for the TM application/system. Required Qualifications: 10 years experience with MHS Mart (M2), EAS IV (MEPRS), and MHS Data Repository (MDR) required. Minimum of 5 years of experience in performance management, preferably within a healthcare or government setting. Proven experience to perform complex data analyses to assist in the development and execution of complex solutions to various challenges in healthcare delivery required. Required Education: Master’s degree in a related field such as Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Mathematics, or Business Administration. Benefits: Health (PPO & HDHP) Paid Time Off Company Paid STD & LTD, and Basic Life Insurance 401k Company Match Paid Time Off Multiple Voluntary Products Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.

Ibotta is seeking a Data Scientist to join our Client Data & Measurement team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Client Data and & Measurement teams. As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust datasets for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office, (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. What you will be doing: Contribute to creating best practices for the team Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior Provide customized views of large and complex datasets to support data analysis and business decision-making Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performance Harden data pipelines and models for production deployment and monitoring of performance over time Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: 2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experience Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred A passion for driving important decisions using data and data storytelling A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus Demonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithms Demonstrated Python and/or R skills. Spark or PySpark experience is a strong plus Broad and general statistical and mathematical knowledge and skills Excellent analytical and problem solving skills Demonstrated knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas Exposure to or interest in manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams Exposure to or interest in MLOps a strong plus About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com . This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, and 401k match. Denver office perks include paid parking, bagel Wednesday, snacks and occasional meals. Base compensation range: $100,000 - $115,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. Applicants must be currently authorized to work in the United States on a full-time basis. For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid

To develop a dynamic, integrated view of biological systems in health and disease, the Chan Zuckerberg Institute for Advanced Biological Imaging (CZ Imaging Institute) aims to push forward the development and application of new imaging technologies over the next 10 to 15 years. CZ Imaging Institute researchers will collaboratively develop breakthrough biological imaging systems centered around grand challenges that push the boundaries of what we can see and measure to obtain deep insights into the architecture of complex biological systems at the molecular level. As an extension of the Chan Zuckerberg Initiative’s Imaging program, the CZ Imaging Institute ( https://czii.org/ ) will create breakthrough technologies — hardware, software, biological probes, data, and platforms — that will be made available to the scientific community and adopted worldwide through a combination of direct access to the Institute, open sharing of advances, and commercial partnerships. The Opportunity We are seeking a highly motivated and skilled Data Scientist to join our team in developing cutting-edge algorithms and software tools for cryo-electron tomography (cryoET) and other imaging modalities . This role is ideal for candidates with a strong background in image processing, and a passion for advancing scientific discovery through computational innovation. Expertise in artificial intelligence (AI) and machine learning (ML) is strongly preferred and will play a key role in driving novel solutions in data analysis and interpretation. We value critical thinking, problem-solving ability, and clear communication in our vibrant, collaborative environment This on-site position will be based in Redwood City, CA. What You'll Do Design, implement, and optimize novel algorithms for 3D image reconstruction, segmentation, and analysis in cryoET and other imaging modalities. Develop robust, scalable software packages and pipelines for processing large-scale imaging datasets. Apply and adapt AI/ML techniques, including deep learning, to automate feature detection, denoising, classification, and other tasks. Collaborate closely with biologists, microscopists, and software engineers to understand research goals and tailor computational solutions. Prepare technical documentation, user guides, and contribute to scientific publications and presentations. What You'll Bring Essential - M.S. or Ph.D. in Computer Science, Biomedical Engineering, Physics, Bioinformatics, or a related field. Strong background in image processing, especially for 3D or volumetric data. Proficient in programming languages such as Python or C++. Experience with scientific computing libraries and frameworks (e.g., NumPy, SciPy, scikit-image). Familiarity with cryoET/EM or other imaging techniques. Strong analytical, problem-solving, and communication skills. Nice to have - Hands-on experience with cryoEM and/or cryoET workflows and datasets. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras). Knowledge of high-performance computing environments and GPU acceleration. Track record of scientific publications or open-source contributions in relevant fields. Compensation The Redwood City, CA base pay range for this role is $116,000.00 - $148,500.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Environment We are an onsite work environment located in Redwood City, CA, enabling a collaborative and supportive culture. This position will be situated in a typical office setting, with some interaction with team members located in low-risk laboratories, shipping and receiving, and reception areas. What We Provide Resources to collaboratively develop breakthrough biological imaging systems that push the boundaries of what we can see and measure An environment where nothing is considered impossible, where bold and creative thinking are the norm, and where a collaborative culture allows teams of people from multiple disciplines to accomplish more than any single person can achieve alone Access to collaborators and resources at partner organizations in the CZ Biohub Network and beyond Competitive compensation and benefits commensurate with experience If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Benefits We offer a robust benefits program that enables the important work employees do everyday. Our benefits include healthcare coverage, life and disability insurance, commuter subsidies, family planning services with fertility care, childcare stipend, 401(k) match, flexible time off and a generous parental leave policy. In addition, we honor our commitment to career development and our value of scholarly excellence through regular onsite opportunities to learn from the world's leading scientists. The CZ Biohub Network is an equal opportunity employer committed to diversity of thought, ideas and perspectives. We are committed to cultivating an inclusive organization where all employees feel inspired and know their work makes an important contribution. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Pursuant to the California Fair Chance Act, we will consider for employment qualified applicants with arrest and conviction records. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. The CZ Biohub Network does not accept unsolicited headhunter and agency resumes. The CZ Biohub Network will not pay fees to any third-party agency or company that does not have a signed agreement with the CZ Biohub Network.

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $96,400.00 - $159,100.00 Target Openings 1 What Is the Opportunity? At Travelers, we create trusted strategic products and services to unlock the power of our data. We enhance and measure our ability to access, govern, manage, connect and integrate internal and external data assets and ensure our employees understand the value of data and the impacts to our business. As a Manager, Data Management you will develop strategies to promote effective data governance practices to ensure that data is consistent, trustworthy, and doesn't get misused. You will measure accuracy, completeness, consistency, and reliability of data to embody and promote Traveler's data culture values. Consulting with business partners, you will assist in the design implementation, and drive the adoption of data management, governance, and metadata policies, standards, and best practices. You will develop and own project timelines and plans for assigned projects. Leveraging your understanding of the data ecosystem, business process and decision-making, as well as the data value chain, you will analyze medium complexity customer requests for changes to data management tools to determine impact on existing systems, process and develop appropriate specifications, enhancements, and procedures to comply. What Will You Do? Govern the process of managing the availability, usability, integrity security and privacy of the data. Collaborate with partners and assist with the design, development and implementation of innovative governance practices, roles, responsibilities. Develop procedures, processes, and support the development of remediation plans to assure data quality for business purposes Perform complex data profiling and analysis; communicates results in support of data quality processes. Partner with business customers to recommend, develop, maintain and prioritize business data quality requirements, specifications, and rules. Assist in defining metadata repository, data catalog, reference data management, and data lineage capabilities. Work with business customers to ensure appropriate naming definitions and standards are being followed. Facilitate the root cause analysis and resolution of business data management issues, including proposal and implementation of specification or procedural changes to address issue, working with impacted areas. Leverage knowledge of data models, data relationships, mapping lineage and business rules to ensure that solutions meet operational and business needs. Analyze medium complexity customer requests (internal or external, e.g., data calls) for changes to production systems, determine impact on existing systems, process and develop appropriate specifications, enhancements, and/or procedures to comply. Leverage tools, processes, and workflows to capture knowledge, find information and maintain its relevance. Design the creation, maintenance and governance of taxonomies and ensures its applicability to content and/or data. Perform other duties as assigned. What Will Our Ideal Candidate Have? Prior experience with ETL / Data Integration tools, one or more Data platforms, and Cloud Computing Technologies and related emerging technology. Prior experience with one or more of the following Tools and languages: SQL, Teradata, Python, Hive, MicroStrategy, Ab Initio, Messaging, NoSQL. Ability to understand metadata management, including metadata management, lineage, and cataloging. Strong communication skills with the ability to consult on projects and present information effectively. Ability to think strategically and use judgement to resolve issues as they arise. Excellent relationship building skills with the ability to work both independently and collaboratively with internal and external partners. Excellent time management skills with the ability to manage multiple projects simultaneously and follow through to ensure timely completion. Strong leadership skills with the ability to manage a team and provide strategic direction on opportunities. Ability to apply a thorough understanding of overall physical and logical data model and of data relationships, mapping, lineage and business rules. Knowledge of data models, data relationships, mapping lineage and business rules. What is a Must Have? Bachelor’s degree or three years of relevant data and analytics, and/or data management experience. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

Company Background: Established in 1928, Genuine Parts Company is a leading global service organization specializing in the distribution of automotive and industrial replacement parts. Our Automotive Parts Group operates across the U.S., Canada , Mexico , Australasia, France , the U.K., Ireland , Germany , Poland , the Netherlands , Belgium , Spain and Portugal , while our Industrial Parts Group serves customers in the U.S., Canada , Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 60,000 teammates. Position Purpose : Seeking world-class talent to join the world’s leading distributor of automotive and industrial replacement parts and value-added services operating 5,500+ locations and servicing more than 20,000 locations in the U.S and Canada. Specifically, this role will function as Digital Analyst - Content Data, Product Data & Catalog to join our eComm & Digital Operations team. Complete, accurate catalog data is critical to the success of several functions, including Technology, Finance, Category Management, Merchandising, and Customer Experience. Working alongside key business functions, the Content Data Analyst, Product Data & Catalog will own every component of product and vehicle fitment data and will support the design and implementation of future systems, science and processes to ensure that GPCs foundational data is best-in-class. The Digital Analyst - Content Data, Product Data & Catalog will call on their expertise in master data analysis, enrichment, management, governance, and quality control to effectively manage and improve the data elements and operations of a complex product catalog, including setting goals, strategy, and standards for data, content and the category experience they support. This includes working closely with Technology, Category Management, Operations, Product and User Experience staff. This role supports the creation and maintenance of data onboarding, governance, management, and analytics capabilities that will guide our future-state strategy, as well as owning individual product categories data breadth and quality. This position regularly analyzes data, identifies trends, and delivers both improvements and actionable insights to stakeholders that can help improve content and user experience through regular analysis of content and engagement with internal and external data owners and stakeholders. Job Responsibilities Ensure seamless communication and collaboration between cross-functional teams (Category, Operations, Supplier, UX, Product, and Engineering) to ensure a smooth flow of information into, and out of, our core systems Optimize our customers’ experience using a variety of inputs, and clearly articulate rationale and data behind decisions Facilitate the exchange of product and vehicle information, assets, and updates, ultimately enhancing our product listings and business performance Manage product data, digital assets, and content within GPC PIM, ensuring accuracy, completeness, and consistency across all product records Act as the primary point of contact between GPC and our Supplier Partners, facilitating effective communication, onboarding and information exchange Provide manufacturers with training and support to update and maintain product information, fitment, assets, and specifications Conduct regular audits and quality checks to ensure that product data and content meet industry standards and best practices Address and resolve any issues or discrepancies related to product data or content Continuously improve the quality of the end-to-end process, including data governance, quality audits and process reviews Other duties as assigned Location: GPC has two work locations to choose from, Duluth or Atlanta office. We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule. Desired Qualifications & Experiences: Bachelor’s degree in computer information systems, computer science, data science, or a related field 1 year (4+ preferred) of experience in data management or data governance; preferably in the Retail or Automotive space Experience in data platforms and processes including STIBO/STEP, Data Governance, Master Data Management, and Data Catalog Proven experience in data quality management and data process improvement at scale Proficiency in Microsoft Office with Excel knowledge Ability to document, communicate, implement, and operationalize complex processes Ability to interpret data for others, conveying your findings clearly, concisely, and effectively so that they can take action In-depth specialty area knowledge with a solid grasp of industry standards and practices Naturally an analytical thinker who employs strong problem-solving skills with an owner mentality Excellent communication and presentation skills Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Description Summary Our Enterprise Data Governance team is growing, and we're looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes pertaining to data use and reporting. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead supports enterprise data governance capabilities and partners across the bank developing documentation of policies and processes related to data use, reporting and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, leading and documenting meetings with stakeholders across the enterprise involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics and reporting teams as we develop data solutions to better serve our customers, support our communities, and make our colleagues' lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Primary Duties and Responsibilities: Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Lead process walkthroughs with business and technical stakeholders to understand and validate regulatory reporting production processes and related data supply chains Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead the design and enablement of technology and processes upon which the data rules are enforced. Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications: Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Ability to constructively challenge requirements and current state to increase overall value to the organization High level of organization and attention to detail Strong critical thinking and creative problem-solving skills Effective communicator (written and verbal) Self-starter attitude with the ability to work independently and as part of cross-functional teams Prior experience with regulatory reporting, auditing, risk management, and/or data management at a large financial institution Experience in strategy, process improvement, management consulting is a plus Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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: $91,000 - $321,500, 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

Ibotta is seeking a Data Scientist to join our Client Data & Measurement team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Client Data and & Measurement teams. As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust datasets for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You'll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office, (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. What you will be doing: Contribute to creating best practices for the team Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior Provide customized views of large and complex datasets to support data analysis and business decision-making Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performance Harden data pipelines and models for production deployment and monitoring of performance over time Embrace and uphold Ibotta's Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: 2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experience Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred A passion for driving important decisions using data and data storytelling A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus Demonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithms Demonstrated Python and/or R skills. Spark or PySpark experience is a strong plus Broad and general statistical and mathematical knowledge and skills Excellent analytical and problem solving skills Demonstrated knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas Exposure to or interest in manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams Exposure to or interest in MLOps a strong plus About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com. This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, and 401k match. Denver office perks include paid parking, bagel Wednesday, snacks and occasional meals. Base compensation range: $100,000 - $115,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. Applicants must be currently authorized to work in the United States on a full-time basis. For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Description Summary Our Enterprise Data Governance team is growing, and we're looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes pertaining to data use and reporting. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead supports enterprise data governance capabilities and partners across the bank developing documentation of policies and processes related to data use, reporting and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, leading and documenting meetings with stakeholders across the enterprise involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics and reporting teams as we develop data solutions to better serve our customers, support our communities, and make our colleagues' lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Primary Duties and Responsibilities: Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Lead process walkthroughs with business and technical stakeholders to understand and validate regulatory reporting production processes and related data supply chains Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead the design and enablement of technology and processes upon which the data rules are enforced. Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications: Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Ability to constructively challenge requirements and current state to increase overall value to the organization High level of organization and attention to detail Strong critical thinking and creative problem-solving skills Effective communicator (written and verbal) Self-starter attitude with the ability to work independently and as part of cross-functional teams Prior experience with regulatory reporting, auditing, risk management, and/or data management at a large financial institution Experience in strategy, process improvement, management consulting is a plus Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.