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We are a forward-thinking financial services organization, committed to delivering innovative digital solutions. Our data-driven approach powers our digital products, and we are establishing a shared data products organization to enhance our data platform capabilities and provide actionable insights into digital behaviors and performance. We are seeking an experienced Associate Director of Data Products to lead our shared data products organization within the digital product division. In this leadership role, you will oversee a team of data analysts and managers, driving the vision and execution of a scalable data platform and building digital data products that provide key insights into product performance and user behavior. You will collaborate closely with engineering and product teams to ensure that data products align with business objectives and contribute to the company’s overall digital strategy. This role is Hybrid. You should be located within a commutable distance to one of our offices located in Baltimore MD, Charlotte NC, Wilmington DE, or Dallas/Fort Worth TX. Target base salary range is $140k - $170k which is based on various factors including skills, work experience, and location. In addition to base salary, this role is eligible for a competitive additional compensation program that is based on individual and company performance Key Responsibilities: Lead and Manage the Team : Oversee a team of data analysts and data product managers, ensuring they are empowered to deliver on the organization’s data vision. Provide leadership, mentorship, and development opportunities. Define and Execute Data Strategy : Set the vision and roadmap for the shared data platform, ensuring it supports the needs of the business and digital product teams. Align data product initiatives with broader digital strategies. Collaborate with Data Engineering Teams : Partner with data engineering teams to translate business needs into technical requirements for a scalable, secure data platform. Oversee platform enhancements and ensure alignment with best practices in data management, governance, and security. Develop Data Analytics Products: Lead the development of analytics products that provide visibility into user behaviors, product performance, and key business metrics. Drive the adoption of these products across the digital organization. Promote Data-Driven Decision Making : Partner with cross-functional teams to identify opportunities for using data insights to enhance digital product performance, improve customer experiences, and drive business outcomes. Implement Best Practices : Establish and maintain best practices for data governance, data quality, and compliance with financial services regulations. Stakeholder Management : Engage with senior leaders and key stakeholders to communicate progress, address challenges, and align on strategic priorities for data initiatives. Product Lifecycle Management : Oversee the lifecycle of data products from ideation to execution, ensuring that they meet business goals and deliver value. Qualifications: 7+ years of experience in data product management, data analytics, or a similar role, with at least 3 years in a leadership or management position. Proven experience in building and scaling data platforms and delivering complex data products in a financial services or digital product environment. Expertise in digital, customer journey, and cross-channel analytics Expertise in modern data platforms, cloud-based technologies (Snowflake, AWS, Azure, GCP), and data tools such as data lakes, ETL pipelines, and data warehouses. Demonstrated ability to lead teams, with experience managing managers and mentoring data professionals. Strong analytical skills with experience interpreting large datasets to inform business decisions and product strategies. Excellent communication skills with a proven ability to influence stakeholders, including senior leadership. Familiarity with Agile development methodologies and working in a fast-paced product development environment. Knowledge of data governance, financial services regulations, and compliance best practices. Experience with digital analytics platforms (e.g., Heap, Google Analytics, Adobe Analytics) and visualization tools (e.g., Tableau, Power BI). Preferred Skills: Master’s degree in business, data science, or a related field is a plus. Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with: Health and wellbeing options for team members and their dependents Up to 4% matching 401(k) Employee Stock Purchase Plan (10% share discount) Tuition reimbursement Continuing education Bonus eligible Paid time off (15 days’ vacation per year, plus 2 personal days, prorated based on start date) Paid holidays (7 days per year, based on start date) Paid volunteer time (3 days per year, prorated based on start date) And more OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. As a Data Scientist, Data Strategy, you will be pivotal in transforming data into actionable insights that drive business strategies and decision-making, making this a unique and exciting opportunity. Key Responsibilities Data Collection and Analysis: Gather data from various sources, using statistical methods and visualization tools to identify trends and insights. Model Development: Develop predictive models using machine learning algorithms to solve business problems. Select appropriate modeling techniques based on data characteristics and business objectives. Strategy Support and Development: Help craft data-driven strategies that align with business objectives, providing insights to support strategic decision-making. Data Quality and Governance: Maintain data accuracy and reliability, working with governance teams to uphold high-quality standards and compliance. Stakeholder Collaboration: Lead conversations with cross-functional stakeholders to understand data needs, translate them into analytical solutions, and foster effective communication. Tool and Technology Utilization: Leverage advanced analytics tools for data analysis and visualization, stay updated on emerging technologies, and provide training to teams. Performance Measurement and Optimization : Develop and track KPIs, analyze performance data, and suggest improvements to enhance business outcomes. Research and Innovation: Explore new data sources and techniques, proposing innovative solutions to leverage data for competitive advantage. Legal and Compliance: Ensure adherence to data protection regulations, identifying risks, and suggesting mitigation strategies. Communication and Problem Solving: Translate complex findings into actionable insights for stakeholders, using strategic thinking to address business challenges and opportunities. Your ability to communicate effectively and solve complex problems will be highly valued in this role. This role requires a balance of strategic data oversight and technical proficiency to ensure data initiatives are aligned with business goals and are effectively executed across the organization. Minimum Requirement Degree or equivalent and typically requires 4+ years of relevant experience. Education Bachelor’s degree in a quantitative field like Statistics, Mathematics, Computer Science, Data Science, or Economics is preferred. Critical Skills Must have 4+ years of work experience in data analysis, visualization, and/or supporting healthcare information systems. Proficiency in programming languages such as Python, R, or SQL for data analysis and modeling. Experience with business intelligence platforms like Power BI, Looker or ThoughtSpot Strong knowledge of advanced SQL and relational databases. e.g, Snowflake. Familiarity with Azure Cloud Architecture and Databricks Lakehouse architecture. Familiarity with machine learning frameworks and libraries, such as TensorFlow, scikit-learn, or Keras. Solid understanding of statistical and predictive modeling techniques. Experience in developing and validating predictive models. Ability to analyze complex datasets and derive actionable insights. Experience in applying advanced analytics in a business context to solve complex problems. Understanding of business operations and the ability to translate analytical findings into business strategies. Strong critical thinking and problem-solving abilities to tackle complex analytical challenges. Excellent communication and presentation skills. Ability to work collaboratively in a team environment. A proactive approach to staying updated on the latest trends and advancements in data analytics and machine learning. Physical Requirements General office demands Must have the ability to travel up to 10% of the time Candidates must be authorized to work in the USA. Sponsorship is not available for this role. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $109,900 - $183,100 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

Transparent Partners is an independent consultancy that specializes in enhancing customer experiences through a marketing lens. Our goal is to identify the unique mix of data, technology and operational processes that will empower brands to thrive in the ever changing marketing landscape. Practice Overview The Data and Analytics (D&A) Practice primarily focuses on projects related to customer data strategy, management, analytics, and measurement. The D&A team is responsible for designing, implementing, and operationalizing capabilities for collecting, analyzing, and interpreting data to provide insights that help inform business decisions. The D&A team helps companies identify opportunities for growth, optimization, and improvement to customer experiences. Position Overview We are seeking a highly driven, entrepreneurial marketing analytics and data strategy analyst to support delivering data, measurement, analytic, and technology solutions. Role includes understanding current client needs, identifying solutions, organizing a strategy around customer outcomes and delivering value back to our clients. As a key contributor for Data & Analytics (D&A) within Transparent, the Analyst must stay on top of the bleeding edge of marketing measurement, data strategy, technology & analytics including emerging capabilities that will allow our customers to support the next generation of the marketing function. The role will work collaboratively with our Accounts team and Technology team to integrate the D&A elements into overall deliverables. Position Qualifications 4-year college degree in related field: MBA a plus. Education or experience leading, managing and implementing strategies to gain business value from data. Education or experience with configuration and implementation of marketing technologies and analytics tools. Understand the capabilities of Customer Data Platforms and related data-centric marketing technologies. Ability to take initiative and work in collaboration with internal team as well as external partners Ability to quickly identify and understand broad business issues as well as the immediate urgencies that help shape the direction of strategic marketing initiatives Strong communication skills – must be able to clearly articulate our approach and strategic recommendations. Ability to communicate complex topics in writing and verbally with audiences of varying understanding and backgrounds. Must have a consultative approach to solving complex challenges to deliver on measurable business results Technical education, familiarity or competency in data analysis and visualization tools such as SQL, Python, Tableau, Data Studio, Microsoft Azure, Databricks, Microsoft Fabric , and related tools Responsibility: Data Analysis & Strategic Thinking Collect and document key functional requirements to achieve expected deliverables defined in project scope. Assess the current state of client measurement, data, technology and analytics ecosystem. Evaluate data platforms, identify opportunities to create new systems and analytics to drive ROI. Formulate findings into client deliverables with analysis and meaningful implications. Build a gap analysis that outlines opportunities that exist and recommend a path towards a solution, including continuation of services over time. Responsibility: Deliverable Build Understand client needs to guide towards client deliverables Contributes to deliverable creation and may own portions of content-building Responsibility: Client Relationship Management Play a client-service role by partnering with clients to become a trusted advisor, manage and exceed client expectations, and present findings to clients. Responsibility: Organizational Development Help maintain, inform and improve upon internal process flows and governance Develop a deep level of trust across internal disciplines and contributing to the success of the work stream delivery Play an active role in supporting advancement of Transparent internal goals to educate and advance our collective expertise Contribute to Transparent’s branding and awareness efforts through content creation, social marketing and event participation Benefits Competitive salary + bonus opportunities Health, dental, and vision coverage 401k with match Fully-remote or hybrid work environment $50,000 - $80,000 a year The final compensation within this range will be determined based on a comprehensive evaluation of the candidate’s relevant professional experience, educational background, skill set, and overall alignment with the responsibilities and requirements of the role. Candidates who demonstrate significant experience, specialized expertise, or exceptional qualifications may be considered for compensation at the higher end of the range. A senior prefix may be applied if an individual has demonstrated ability to: Team Manager | Effectively manage other team members by delegating work as appropriate, providing constructive feedback routinely, and creating targeted opportunities for professional development Account Strategy | Ability to develop and execute against strategic account plans to strengthen our client partnerships and grow business relationships Growth Management | Contribute to business growth and development by establishing relationships through trust and integrity, proactively surfacing gaps, and identifying opportunities Decision Maker | Identify priorities, how to create head space and teaching others how to best manage their own time and utilize their geniuses to drive great work outputs and client relationships Thought Leadership | Deliver value to the Transparent organization by applying learnings from continued education and training programs that directly improve our ways of working, processes and procedures Concurrent Responsibilities | Successfully manage project plans for various work streams across multiple accounts at a time Our people and culture At Transparent our goal is to promote an inclusive, equitable, and diverse environment to foster a sense of belonging. We believe that creating an inclusive environment is paramount in driving innovation, creativity and value for our clients and our people. All applications will receive consideration for employment without regard to ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, or social background. Transparent Media Partners, LLC is an Equal Opportunity employer. Personnel are chosen on the basis of ability without regard to race, color, religion, sex, national origin, disability, marital status or sexual orientation, in accordance with federal and state law. If there are any further questions, please contact: careers @transparent.partners

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.

About us: Navaide: Catalysts for a Stronger Tomorrow: At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities. Position: Data / Information Architect – Navy Data Model | MDM | Ontology About the Role: As a Data / Information Architect at Navaide, you will shape the foundation of secure, interoperable, and mission-aligned data architectures for federal clients—especially within the defense ecosystem. You will ensure that enterprise data solutions align with Navy data models, ontologies, and master data management (MDM) principles to support transparency, integration, and readiness across operational systems. How you will Make an Impact: You'll work at the intersection of enterprise architecture, data governance, and semantic modeling to help define the future of defense data interoperability and enable secure data sharing across platforms and mission sets. Relevant Skills and Experience: 7+ years of experience in enterprise data architecture, modeling, or information systems Deep understanding of DoD and Navy data models, especially DON Data Strategy, Navy Logical Data Model (NLDM), or NAVWAR data architecture Hands-on experience implementing Master Data Management (MDM) frameworks across large enterprises Knowledge of ontologies, taxonomies, and semantic data modeling Familiarity with UML, ER modeling, and standards such as RDF, OWL, or SKOS Experience with enterprise data dictionaries, metadata management, and data stewardship Strong collaboration skills with system architects, data governance leads, and business stakeholders Duties & Responsibilities: Align enterprise data models with Navy and DoD reference architectures and data standards Design and implement MDM solutions for shared data domains and consistent master records Develop and maintain ontologies, semantic models, and controlled vocabularies to enhance data interoperability Support data lineage, quality, and governance efforts across multiple programs and domains Work with solution architects and platform leads to embed data architecture into system design Document data architecture artifacts and provide training or advisory support for data governance councils Evaluate current data environments and provide modernization roadmaps to achieve semantic alignment and reusability Security Clearance: Must be eligible to receive a DoD security clearance Travel: Occasional travel may be required (<25%) Education: Bachelor's or Master's degree in Information Architecture, Data Science, Computer Science, or a related field. Equivalent experience may be considered in lieu of a degree. Why Navaide? Join a growing, fast-paced team solving meaningful challenges for the Department of Defense. For more about us, please check out the following links: About Navaide Other Opportunities Employee Benefits Connect with us on LinkedIn! Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Participation: E-Verify Participation Poster IER Right to Work Poster No third parties, please.

Overview: Job Description Summary: Organizes and analyzes complex or large data sets to develop insights and predictive models in support of research, operation, and clinical care at Nationwide Children’s Hospital. Job Description: Essential Functions: Collects and organizes large and complex sets of data from various sources. Leverages structured and unstructured data sets to create analytical solutions using statistical and predictive analysis, natural language processing, geospatial analysis, or machine learning techniques. Identifies patterns and trends in data to provide insights and recommendations. Communicates findings and results to stakeholders through reports and presentations. Collaborates with cross-functional teams to develop and improve data-driven solutions. Stays up-to-date with industry trends and advancements in data science techniques. Assists in the mentoring of less experienced staff. Education Requirement: Master’s Degree in Computer Science, Engineering, Mathematics, Statistics, Clinical Informatics, Nurse Informatics, or a related discipline, required. Licensure Requirement: (not specified) Certifications: (not specified) Skills: Strong desire to learn and highly collaborative. Exceptional interpersonal and communication skills to interact effectively with all levels of the organization and external contacts. Experience: Four years ofscripting language or software development experience using Python, R, MATLAB, or SAS etc., required. Four years of data manipulation and analysis using Python, R, MATLAB, or SAS etc., required. Four years of relevant data analytics experience in one or more of the following areas: statistical modeling, machine learning, natural language processing (NLP), and geospatial analytics, required. Some experience working with healthcare data, preferred. Physical Requirements: OCCASIONALLY: Bend/twist, Climb stairs/ladder, Lifting / Carrying: 21-40 lbs, Lifting / Carrying: 41-60 lbs, Squat/kneel, Standing, Walking FREQUENTLY: Computer skills, Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs CONTINUOUSLY: Audible speech, Color vision, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing – Far/near, Sitting Additional Physical Requirements performed but not listed above: (not specified) "The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"

DealMaker is a fast-growing fintech company revolutionizing the capital markets ecosystem with a mission to make online capital raising mainstream. We empower founders, CEOs, and operators to raise capital digitally, both from their own communities and through strategically marketed campaigns. No other platform provides an end-to-end solution like ours—and our track record speaks for itself, with over $2B raised across 1,000+ campaigns. We power the largest online capital raises for customers like EnergyX ($88M), Green Bay Packers ($65M), Miso Robotics ($72M+), Monogram Orthopaedics (Nasdaq:MGRM) and many others, with 3 IPOs in the past year alone. We are quickly expanding our horizons and are seeking talented team members to join us on our journey to transform the global capital market. Who you are You are a pragmatic problem-solver with a strong bias for action, aligning perfectly with our "Prioritize Speed over Perfection" value. You're passionate about data's power to "Drive Outcomes" and are constantly seeking to "Push Your Limits" by learning and applying new technologies. When faced with complex data challenges, you "Find a Way" to deliver robust and innovative solutions. You're "Bold and Direct" in your technical recommendations and committed to "Innovating and Simplifying" our data landscape. Above all, you "Obsess over Customers," recognizing that reliable and accurate data is paramount to their success and ours. What you will do As a Staff Data Engineer, you will be instrumental in building the data backbone that powers DealMaker's analytics and AI capabilities. You'll play a pivotal role in enabling our data-driven growth, reporting directly to the VP of Data and AI. This is a critical Senior Individual Contributor role within a dynamic team of four, where your impact will be felt across every analytics and AI initiative at DealMaker. Your primary responsibilities will include: - Data Pipeline Development & Optimization: Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines to ingest, transform, and load data from various internal and external sources into our data warehouse/data lake. You will be critical in ensuring high data pipeline uptime (99% target) and reliability to support all analytics and AI initiatives. - Data Architecture & Modeling: Collaborate with stakeholders across product, engineering, and business teams to define and implement optimal data models and schemas that support both analytical reporting and sophisticated machine learning applications. - Data Quality & Governance: Implement and enforce stringent data quality checks, data validation rules, and data governance best practices to ensure the integrity, accuracy, and reliability of our data assets. Your work will directly contribute to maintaining high standards for data accuracy across key business metrics (+/- 5% target for Sales, Revenue, Shareholder Services, and OPSP). - MLOps Implementation: Transition machine learning models from development to production, implementing MLOps practices such as model versioning, deployment, monitoring, and retraining. - ML Model Development: Take an active part in the design, development, and validation of machine learning models, leveraging engineering best practices for code quality, scalability, and maintainability. - Automation for AI Initiatives: Develop automated data pipelines and processes to support and accelerate our AI initiatives, including automating deal forecasting updates (targeting 20% of deals) and achieving high forecast accuracy (<10% revenue variance). - Performance Tuning & Infrastructure: Proactively identify and resolve performance bottlenecks in data pipelines and queries, optimizing our data infrastructure for scalability and efficiency. - Collaboration & Mentorship: Provide technical guidance and mentorship to other team members, fostering a culture of excellence and continuous improvement. - Technology Evaluation & Adoption: Stay abreast of emerging data technologies, tools, and best practices in data engineering, data science, and MLOps, and recommend their adoption where beneficial. - Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and data governance procedures. What skills you need - Demonstrated years of experience in a Data Engineering role, with a proven track record of building and maintaining production-grade data pipelines. - Strong proficiency in SQL, Python, and experience with relational and/or NoSQL databases (e.g., PostgreSQL, Snowflake, Databricks, etc.). - Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and their respective data services (e.g., AWS S3, Glue, Redshift, Azure Data Factory, Google Cloud Dataflow/BigQuery), with a preference given to AWS experience. - Solid understanding of data warehousing concepts, data modeling (dimensional modeling, etc.), and ETL/ELT processes. - Working knowledge of machine learning fundamentals and experience collaborating with data scientists on model deployment and integration into production environments. - Experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, CI/CD pipelines for ML models). - Excellent problem-solving skills and the ability to troubleshoot complex data issues. - Strong communication and collaboration skills, with the ability to translate technical concepts for non-technical audiences. - A proactive, self-starter attitude with a desire to learn and grow in a fast-paced environment. - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. Bonus Points - Experience with real-time data streaming technologies (e.g., Apache Kafka, Kinesis). - Prior experience in the FinTech or financial services industry. - Contributions to open-source projects in data engineering or MLOps. Founded in 2018 by leading capital markets lawyers, DealMaker has blazed its own trail as the leading online capital-raising platform. As a Series A tech startup, we are well-capitalized, firmly established in our market, and ready to scale. Here’s why you should want to join us: -Competitive compensation with the opportunity to earn equity—get into a growth company on the ground floor -A diverse & distributed team of doers, innovators, and experts -Shared employee benefit plan (medical, vision, & dental) -Strong autonomy with support from leadership -Annual learning support And more! Equal Employment Opportunity DealMaker does not discriminate in hiring or terms and conditions of employment because of an individual’s race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws. Please inform us if you require any accommodation, and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.

WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we're saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US At SimCorp, we facilitate the streamlining of investments, accounting, and operations for major global financial institutions. We do this through IT systems, processes, and financial knowledge. Implementing our software by way of high-quality projects is at the core of what we do. To introduce our software to our clients, business consultants are essential to us. In the role of Lead Business Consultant specializing in Data Management and Data Integration, your participation will be instrumental in the expansion of our market unit and in advancing the outcomes of our clients' projects. You will normally be working full-time on implementation projects, which require your special expertise in Data Management and Data Integration, and you will be responsible for all aspects of the project stream. You will act as an important sparring partner for your clients and effectively monitor, coordinate, and escalate issues as needed. WHAT YOU WILL BE RESPONSIBLE FOR Responsibility for major parts of SimCorp One implementation projects: You know the customer requirements and processes related to Investment Operations at banks, asset managers and insurers and outline solutions for optimal use of SimCorp One Close cooperation with the project manager and key role in developing projects to success Gain understanding of SimCorp's Global Standard Solutions and utilize them for project delivery Key contact for our customers for all questions in connection with SimCorp One Instruct and mentor less experienced colleagues on the job Contribute to improving best practices for implementation processes and promote topics across projects Actively participate in know-how exchange with colleagues on an international level WHAT WE VALUE Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to have expertise at several of the following: Previous experience as an Analyst or (Implementation) Consultant for asset managers, asset owners, banks or consulting firms Hands-on experience with SimCorp One / SimCorp Dimension (SCD) Excellent know-how in at least two of the following areas: Enterprise Data Management Data Integration architecture, patterns and standards WS*, REST API, JSON XML, XSLT and other scripting languages like Phyton Relational Databases: Oracle, SQL Server and/or ETL tools C# or any other object-oriented language Testing e.g., Test-Driven Development, agile testing, test automation, test methodologies System performance improvements Continuous integration and delivery (CI/CD) Experience working on software implementation projects in the financial industry. Ability to manage assigned tasks and deliver the results on time Basic understanding of financial industry/products and related workflows Very good communication skills and proficiency in English - both oral and written Ability to travel to client's site BENEFITS An attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an extensive work-life balance and opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take. For New York City only: The salary range for this position is $133,000 - $170,000. Additionally, employees are eligible for an annual discretionary bonus, and benefits including health care, leave, and retirement plans. Your total compensation may vary based on role, location, department and individual performance. NEXT STEPS Applications are continuously assessed, so please send your CV in English as soon as possible. Please note: Only applications sent through our system will be processed. For those keen on exploring opportunities with SimCorp but questioning the alignment with this position, we welcome you to submit your CV for consideration. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you in discovering the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone's experience positive and valuable. Therefore, during the process, we will ask you to provide your feedback, which is highly appreciated . WHO WE ARE For over 50 years, we have worked closely with investment and asset managers to become the world's leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, education, professional experiences, ages, and backgrounds in general. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients, with SimCorp as the overarching company brand and Axioma as a key product brand. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. SimCorp Canada welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. #Li-Hybrid

Description Summary: The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes. 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 will help develop current team members while serving as a technical leader with expertise in the development, implementation, and management of our Data Governance framework. Data Risk Lead support enterprise data government capabilities and partner across the bank assisting in the team's work on data sharing agreements (drafting, reviewing and processing, monitoring, and close-out), developing documentation of policies and processes related to data sharing and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, and leading and documenting meetings with stakeholders across the agency involved in the process. Responsibilities Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Gather requirements and stakeholder input to draft, update, and manage data management policies, standards, and procedures. 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. Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Support federated teams on the work necessary to meet policy requirements. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Take a lead role in capturing requirements and document processes, including the ability to act as a trusted advisor to our stakeholders. Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Track and monitor the implementation of data controls across the organization Provide leadership, coaching, and mentoring to team members while serving as a role model. Work with stakeholders to ensure that business needs are clearly understood and that services meet those needs. Anticipate and analyze trends in technology while assessing emerging technology and risk impact to the Data Governance Perform other duties as assigned Basic Qualifications Bachelor's Degree or equivalent relevant work experience below. 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 In-depth knowledge of governance policy, standards, and controls processes Experience tracking data policies, standards, and controls throughout the lifecycle (including monitoring, enforcement, and close-out), and facilitating and documenting meetings with internal and external stakeholders at all levels Strong critical thinking and creative problem-solving skills Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Experience within Data Governance with influencing the overall direction of data policies, standards, and controls, and data lifecycle management Ability to translate business and functional needs into policy, standards, and controls requirements, and estimate their impact across the data lifecycle Ability to build strong relationships throughout the organization Ability to constructively challenge requirements and current state to increase overall value to the organization Ability to effectively drive requirements and gain consensus Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Excellent written and verbal communication skills Experience leading project teams, with or without formal direct reporting relationships Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change High level of organization and attention to detail Risk management, regulatory, compliance, and/or audit experience 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.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI As a Data Scientist / Senior Data Scientist - Federal Optimization, you will partner with some of the largest and most mission-critical organizations in the world to design and deliver the next generation of AI-powered enterprise applications. Our team focuses on developing scalable, explainable optimization models and algorithms tailored to federal use cases across domains such as logistics, operations, resource planning, and more. You'll work cross-functionally with data scientists, engineers, subject matter experts, and federal stakeholders to deliver full-lifecycle solutions: from translating client input into soft and hard constraints, to deploying robust, production-grade optimization tools on the C3 AI Suite. Qualified candidates should possess deep expertise in operations research and optimization. This role requires US Citizenship. Responsibilities: Research, design, implement, and deploy optimization solutions for enterprise applications leveraging the C3 AI Suite. Transform client requirements into mathematical formulations. Partner with cross-functional teams to translate optimization model insights into actionable strategies and measurable outcomes. Assist and enable federal customers to build their own optimization applications on the C3 AI Suite. Develop, maintain, and enhance optimization frameworks, libraries, and tools to ensure scalability and efficiency while contributing to the continuous improvement of the C3 AI Suite. Stay informed on state-of-the-art optimization techniques, promote best practices, and foster an innovative and collaborative work environment at C3 AI. Qualifications: U.S. Citizenship (and willingness to obtain a security clearance). Bachelor's in computer science, Electrical Engineering, Statistics, Operations Research or equivalent fields. Strong foundation in optimization techniques (e.g., LP, MILP, MINLP) and solvers. Strong mathematical foundation (linear algebra, calculus, statistics, probability). Proficiency in Python and experience with mathematical programming libraries. Excellent communication skills and ability to work independently or in teams. Motivated, curious, and eager to learn about federal mission domains. Preferred Qualifications: MS or PhD in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or a related field. Active TS/SCI with CI or Full-Scope Polygraph. Professional experience applying optimization in federal or customer-facing environments. Familiarity with commercial solvers (e.g., Gurobi), Git, and GenAI tools. Understanding of machine learning, deep learning, or reinforcement learning. Portfolio of relevant projects or publications. C3 AI provides a competitive compensation package and excellent benefits. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential. Individual contributor with expertise within a domain of insurance data management associated with finance, actuarial, or corporate processing and reporting applications. Promotes P&C data standards, and corporate coding structures through deep knowledge of CNA's products and services, external statutory, regulatory and financial (GAAP) and internal management information reporting requirements. Provides informal data-related technical guidance and formally leads teams on a project basis. Develops designs and/or integrates data solutions to complex business problems. JOB DESCRIPTION: Essential Duties & Responsibilities Performs a combination of duties in accordance with departmental guidelines: Evaluates defined client area requirements and processes for application changes to data values or complex structures. Performs data analysis, develops recommendations and approves requests to ensure that changes comply with corporate data policy and/or reporting needs. Designs high level, functional and detailed designs for data solutions. Consults with client and application areas to analyze data usage and end-to-end system capabilities, identifies risks, recommends and/or executes resolution. Drives accountability for data integrity by developing and executing necessary processes and controls around the flow of data. Collaborates with management, technical staff and subject matter advisors to understand business needs/issues, troubleshoot problems, conduct root cause analysis and develop cost effective resolutions for data anomalies. Participates in integrated data architecture discussions and recommends use of existing or new data elements that will enhance current systems and support overall corporate and business goals. Remains externally focused by providing technical consultation to clients and IT management to ensure development of efficient application systems utilizing established procedures and methodologies and data policy. Influences the development of data policy. Participates in or leads data-related projects Analyzes, develops, and/or executes specifications for data mapping and transformation processes within and between applications Verifies accuracy of table changes and data transformation processes. Ensures adequacy of test plans and monitors application testing results associated with data transformation processes between applications Utilizes data and/or metrics from applicable systems to review data processes, identify issues, determine resolution and/or escalate problems that require data, system or process improvements. May perform additional duties as assigned. Defines, publishes and enforces changes to corporate codes. Reporting Relationship Typically Reports to Manager or above Skills, Knowledge & Abilities Solid analytical and problem solving skills. Solid communication, interpersonal and presentation skills to work effectively among all levels of internal/external partners/clients. Ability to multitask in a fast-paced dynamic workforce. Ability to work independently as well as in a team environment. Possesses some influence management skills. Skillful at learning new system applications/functions. Readily adapts to change. Relationships with business partners in IT, Finance, Actuarial and Data Stewards helpful in resolution of issue, root cause analysis, and driving result - oriented change. Education & Experience Bachelor's degree or equivalent work experience Typically a minimum of five to seven years' experience in data management, accounting, systems development, data analysis or systems/business analysis as required by position. Typically a minimum of three to five years of project management experience preferred. Advanced computing skills including, but not limited to: MS Office Suite, SQL, PeopleSoft, and business Objects. Basic mainframe knowledge (i.e. Job Control Language (JCL) helpful, but not required. One or more data, insurance or functional certifications such as IIA, DMIP, LIMA, AIDM, CIDM, or CPA helpful but not required. Knowledge of statistical, regulatory and other National Association of Insurance Commissioners (NAIC) information will be required when dealing with external agencies. #LI-ED1 #LI-HYBRID In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com. CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com.

Compensation Range (Colorado only): $84,930-$93,870 Any Employment Offers are Contingent Upon Successful Completion of the Following: Verification of Work Authorization and Employment Eligibility Substance Abuse Screening Physical Exam (if applicable) Background Checks for Badging/Security Clearances (if applicable) About Hensel Phelps: Founded in 1937, Hensel Phelps specializes in building development, construction and facility services in markets ranging from aviation to government, commercial, transportation, critical facilities, healthcare and transportation. Ranked #1 in aviation and #6 overall general contractor in 2024 by BD+C, Hensel Phelps is one of the largest employee-owned general contractors in the country. Driven to deliver EXCELLENCE in all we do and supported by our core values of Ownership, Integrity, Builder, Diversity and Community, Hensel Phelps brings our clients' visions to life with a comprehensive approach that begins with innovative planning and extends throughout the life of the property. Position Description: Our growing Data & Analytics team is seeking a highly skilled Senior Data Engineer with extensive experience in using Azure and SAP technologies to build, maintain, and scale large enterprise datasets. The ideal candidate will have a strong background in data modeling, integration, and migration techniques, and will be adept at handling complex data environments. Position Qualifications: College diploma or university degree in the field of computer science or statistics, and/or 5+ years of equivalent work experience. Certifications in BI solutions are a plus. Strong understanding of database structures, theories, principles, and practices including enterprise data warehouses. Strong familiarity with metadata management and associated processes. Excellent verbal, written and analytical skills with the ability to actively listen and effectively gather business requirements for analysis. Demonstrated expertise with data architecture, enterprise architecture tools, data mining, large-scale data modeling, data mapping tools, data profiling tools, data governance and data life cycle methodologies. Direct experience in implementing enterprise data management processes, procedures, and decision support. Construction industry knowledge a plus. Hands-on database tuning and troubleshooting experience. Excellent customer service skills combined with the ability to solve problems. Attention to detail and strong analytical skills. Ability to prioritize issues and monitor progress. Ability to work in a team environment. SAP S/4 HANA SAP Analytic Cloud SAP Datasphere SAP Mater Data Governance Azure Cloud Power Bi DevOps Synapse, BigQuery, Databricks Data Vault Python SQL Dax Docker Experience pulling data from APIs. Good written and oral communication skills. Strong technical documentation skills. Good interpersonal skills. Ability to conduct research into data management issues, practices, and products as required. Ability to present ideas in a user-friendly language. Highly self-motivated and directed. Keen attention to detail and strong organizational skills. Proven analytical and problem-solving abilities. Ability to effectively prioritize and execute tasks in a high-pressure environment. Strong customer service orientation. Experience working in a team-oriented, collaborative environment Essential Duties: Assist data leadership in establishing long-term strategic goals for business intelligent platforms and toolsets. Assist in the development of global maintenance schedules for BI and data warehousing systems. Lead system feasibility studies, proof of concepts, pilot projects and testing. Assist with data migration, data integration, and security best practices and documentation. Lead the deployment, monitoring, maintenance, development, upgrade, and support of BI/EDW systems, including data architecture, data integration, high availability, security, and data privacy. Analyze existing operations and make recommendations for the improvement and growth of the BI/EDW architecture. Conduct research and remain current with the latest data technologies and solutions in support of future data management procurement efforts. Develop, deploy, support, and optimize tools for data extraction, queries, and data manipulation in accordance with business processes utilizing the MS solution suite including Azure SQL DB, Synapse, metadata automation. Data modeling, data architecting and systems architecture development in collaboration with our solutions architecture team to ensure cross-application consistency and business value is realized Ensure the reliability of data access and data quality across the organization via ongoing database/enterprise data warehouse support and maintenance. Develop, implement, and maintain change control and testing processes for modifications to enterprise data warehouse. Document business and security requirements, test plans, database dictionaries, etc. Identify inefficiencies and gaps in current data warehouse and leverage solutions to ensure data standards. Documentation via automated data discovery and data maps. Implement data security best practices and perform testing/remediation. Physical Work Classification & Demands: Light Work. Exerting up to 25 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. The individual in this position will periodically walk, kneel, sit, crouch, reach, stoop, read/see, speak, push, pull, lift, stand, and finger/type. The frequency of each action varies by workflow and office activity. Walking - The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, boxes, cabinets, etc. Constantly operates a computer and other office machinery, such as a calculator, copy machine, phone, computer, and computer printer. The person in this position frequently communicates with employees and external stakeholders regarding a variety of topics related to office administration. Constantly computes, analyzes, and conceptualizes mathematical calculations and formulas. Constantly reads written communications and views email submissions. The person in this position regularly sits in a stationary position in front of a computer screen. Visual acuity and ability to operate a vehicle as certified and appropriate. Rarely exposed to high and low temperatures Rarely exposed to noisy environments and outdoor elements such as precipitation and wind. Benefits: Hensel Phelps provides generous benefits for our salaried employees. This position is eligible for company paid medical insurance, life insurance, accidental death & dismemberment, long-term disability, 401(K) retirement plan, health savings account (HSA) (HSA not available in Hawaii), and our employee assistance program (EAP). It also is eligible for employee paid enrollment in vision and dental insurance. Hensel Phelps also believes in the importance of taking time to recharge. As a result, salaried employees are eligible for paid time off beginning upon hire. Salaried positions (project engineers and above) participate in an annual bonus plan, subject to company and employee performance. Salaried employees (this is all salaried employees) are also eligible for a company cell phone or cell phone allowance in accordance with company policy. Further, salaried employees (project engineers and above) also receive either a vehicle or vehicle allowance in accordance with Hensel Phelps' policies. Based on position location, a cost of living adjustment (COLA) may also be included (subject to periodic review and adjustment). Equal Opportunity and Affirmative Action Employer: Hensel Phelps is an equal opportunity employer. Hensel Phelps is committed to engaging in affirmative action to increase employment opportunities for protected veterans and individuals with disabilities. Hensel Phelps shall not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity and expression, domestic partner status, pregnancy, disability, citizenship, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) #LI-DG1 #LI-DG1

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

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

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

Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. This is not the official job application; this posting is specifically for Equinix Pathways Military Program. Please note that this program is exclusively for Military Spouse Fellows or Active-duty US military personnel transitioning out of the military to civilian workforce. Equinix is the world's digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed. We are a fast-growing global company with 70+ consecutive quarters of growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of nearly 10,000 companies, including 1,800+ networks and 2,900+ cloud and IT service providers in over 26 countries spanning five continents. Are you a military service member within or nearing your 180-day window for separation from active duty? Are you a military spouse fellow wanting to engage a technology career? If this is you, then Equinix has a unique opportunity to help kick-start the next chapter in your professional life. We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities. The training will be on the cutting-edge of technology in a digital infrastructure environment supporting an initiative designed to link our nation's warfighters to the best employment opportunities available. Do you have a background in Electronics, Electrician, or HVAC and skilled Mechanical trades? This could be your next career move! In this DoD Skillbridge Program with Equinix, you will: Learn how your military experience translates into a rewarding civilian career Explore a career or industry you might want to pursue upon separation from active duty Earn real-world industry qualifications and certifications Build experience and competency in your trade/ profession with our team Expand your professional network of contacts Gain familiarity with corporate culture. Responsibilities Has a substantial understanding of the job while working on assignments that are moderately difficult requiring judgement in resolving issues or making recommendations. Focus is on moderately difficult tasks, using substantial understanding of standard operating procedure. Supports the overall team. Facility / Infrastructure Maintenance Performs moderately difficult preventative and corrective maintenance checks on-site to facility components. You will perform site inspections and monitor the building and IBX alarms Performs moderately difficult repairs, maintenance, installations, and on-site inspections to facility systems. Supports energy efficiency measures Monitors the Building Monitoring System (BMS) and resolves moderately difficult alarm issues that require judgement in resolving while following standard operating procedures Operates and maintains plumbing, fire suppression, and safety systems Operates critical infrastructures under the supervision of more senior technical staff Normally receives little instruction on daily work, general instructions on newly introduced assignments Customer Operations Technician Queue Management & Reporting Prioritize and manage service requests to meet deadlines Maintain detailed records and audit reports Installations Rack and stack equipment in data centers Perform fiber terminations using a fusion splicer Set up telecom cabinets, fiber trays, and cage wiring. Troubleshoot fiber and copper circuits Support standard cross-connect work orders Other troubleshooting procedures Site Administration & Incident Support Performs moderately difficult site logs for permits, such as Maintenance Operation Protocol (MOPs) and scripts Identifies Single Points of Failure (SPOFs) and makes recommendations Responds to all moderately difficult on-site incidents, including failures, problems and delays Uses substantial understanding in following operating procedures to support on-site administration Work Orders & Additional Projects Completes routine work requests and circuit installations Troubleshoots and maintains office equipment (if necessary); supports auxiliary equipment and machines with problem-solving and repairs to avoid/minimize downtime Makes minor changes to mechanical, electrical, and specialized systems, as directed Carries out infrastructure projects Collaboration Collaborates with others to resolve moderately difficult facility incidents Effectively collaborates within the department; may mentor team members on general maintenance activities Provides stakeholders of inventory needs in order to maintain optimal stock levels of critical parts and equipment May recommend infrastructure projects Qualifications Must meet all eligibility requirements outlined in DOD Instruction 1322.29 and NAVADMIN 222/15. Required Technical associates degree, military-technical school, or civilian technical trade school completion Education level: Working on bachelor's degree or relevant experience with 1-4 years in Mechanical Engineering or related field. Comprehensive knowledge of critical infrastructure i.e., UPS, generator, BMS, chillers, life safety systems Coursework in HVAC design or heat transfer and thermodynamics Knowledge of HVAC testing and balancing methodologies Knowledge of IT hardware and other data center operations functions Good time management habits, ability to multi-task, to sustain focus on long tasks. Ability to communicate thoughts and technical ideas. Attitude of taking initiative, enthusiasm, eagerness to learn, teamwork, creativity. Ability to lift 50 lbs The ability to prioritize effectively, balance assigned work and exceptional organization skills required for our constantly evolving environments. Strong interpersonal and communication skills essential for team-based work assignments. Presentation skills with colleagues and clients of all levels Skillbridge Internship positions are open to active duty and/or transitioning military members. Compensation or pay for this role is made through the service member's current enlistment contract based on pay guidelines set by the Department of Defense (DoD) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. Equinix is an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. (Equal Opportunity / AA / Disabled / Veterans Employer) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.