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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

In-Person round of interview mandatory. Tech Stack: Big Data, Spark, Python, SQL, GCP is must. Need a hardcore, heavy hitting Data Engineer who is extremely skilled and is able to function independently and manage their deliverables Capable of writing ETL pipelines using Python from scratch Expert in OOP principles and concepts Ability to independently write efficient and reusable code for ETL pipelines Expert in data modeling concepts such as schemas and entity relationships Expert at analyzing and developing queries in SQL in various dialects (SQL Server, DB2, Oracle) Familiarity with Airflow and understands how to develop DAGs Expert in data warehouses like BigQuery, Databricks Deltalakehouse and how to programmatically ingest, cleanse, govern and report data out of them Expertise in Spark. Powered by JazzHR

"I can succeed as the Global Director of Software and Data Engineering, Enterprise Data Office" As the Global Director of Software and Data Engineering, Enterprise Data Office (EDO), you will be at the helm of transforming how Capital Group leverages data to launch new products and investment strategies to the market and drive strategic growth. You will inspire and lead high-performing engineering teams to build innovative, scalable, and resilient software and data solutions that empower our global Operating Groups, including Investment Operations, ITG, and Global Finance, and the many stakeholders in the Investment Group and Client Groups they serve. You will lead in areas that are critical to Capital Group's market success, including product data management, client-facing data, and marketing/publishing data automation. This role is a unique opportunity to shape the future of both software and data engineering at Capital Group-where creativity meets strategy, and fun is part of the journey. You will partner with senior leaders across the enterprise to align technology investments with business priorities, champion a culture of engineering excellence, and foster an environment where diverse perspectives and continuous learning thrive. "I am the person Capital Group is looking for" You are a visionary leader who will inspire a team of 100+ associates and contractors to innovate and deliver with purpose. You have a proven track record of leading large-scale engineering organizations, complex initiatives that require transformational change, and developing future leaders. You foster a culture of inclusion, collaboration, and continuous improvement, instilling engineering rigor and discipline in your teams. You are a strategic thinker who connects the dots between strategic business outcomes and data and technology solutions. You demonstrate clear vision and experience in delivering user experiences and apps that delight end users and make data accessible in compelling and dynamic manners You lead with empathy and empower teams to take ownership and drive results. You are passionate about modern engineering practices, AI and data-driven decision making in fast paced organizations. You are a demonstrated leader, preferably with deep experience in Asset Management, with expertise in product data and analytics, Investment Operations and market-facing demands. You are a strong communicator who builds trust and alignment across diverse stakeholder groups, employing strong relationship management and influence. You thrive in a dynamic environment and are energized by solving the most complex challenges facing the Buy Side Asset Management industry. You present plans clearly to executives, including the EDO Leadership team, linking them to broader strategies and promoting partnership. You are excited to shape the future of EDO's structure, processes and operating model in a way that provides clarity and reinforces accountability. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in software and data engineering or AI/data science, with at least 5 years in senior leadership roles. Demonstrated success in leading global, cross-functional engineering teams. Deep expertise in modern data and software engineering platforms and practices (e.g., cloud-native architectures, modern application design, CI/CD, DevOps, data mesh). Experience driving enterprise-wide technology transformations and delivering measurable business impact. Strong expertise in the Financial Services and Asset Management industries and ability to influence at all levels of the organization. Commitment to developing talent and building high-performing, diverse teams. Experience with platforms and tools such as AWS, Azure, Python, Spark, Airflow, Kubernetes, DBT, Databricks, and modern front-end frameworks. Southern California Base Salary Range: $254,648-$432,902 New York Base Salary Range: $269,961-$458,934 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Benefits: Company parties Competitive salary Dental insurance Free food & snacks Hi Hope doing good & Well Work location: Dallas, TX /Atlanta, GA End client: IBM/DTV Compltely on site position Job Description We are looking for an experienced Databricks Subject Matter Expert (SME) with expertise in Data Profiling and Data Modeling to join our growing team. In this role, you will be responsible for leveraging Databricks to drive end-to-end data solutions, ensuring data quality, and optimizing data pipelines for performance and scalability. You will also play a pivotal role in designing, implementing, and maintaining data models that align with business requirements and industry best practices. The ideal candidate should have deep experience with the Databricks ecosystem, including Spark, Delta Lake, and other cloud-based data technologies, combined with a strong understanding of data profiling and data modeling concepts. You will collaborate closely with data engineers, data scientists, and business analysts to ensure data integrity, accuracy, and optimal architecture. Skills and Qualifications: Technical Skills: Databricks (including Spark, Delta Lake, and other relevant components) · 8+ years of hands-on experience with Databricks or related technologies. Strong expertise in Data Profiling tools and techniques. Experience in Data Profiling and Data Quality management. · Experience in Data Modeling , including working with dimensional models for analytics. Advanced knowledge of SQL , PySpark , and other scripting languages used within Databricks. Experience with Data Modeling (e.g., relational, dimensional, star schema, snowflake schema). Hands-on experience with ETL/ELT processes , data integration, and data pipeline optimization. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and cloud data storage technologies. Proficiency in Python , Scala , or other programming languages commonly used in Databricks. Experience in Data Governance and Data Quality practices.. · Familiarity with Machine Learning workflows within Databricks is a plus. Thank you venkatesh@careits.com Compensation: $50.00 - $60.00 per hour Who We Are CARE ITS is a certified Woman-owned and operated minority company (certified as WMBE). At CARE ITS, we are the World Class IT Professionals, helping clients achieve their goals. Care ITS was established in 2010. Since then we have successfully executed several projects with our expert team of professionals with more than 20 years of experience each. We are globally operated with our Head Quarters in Plainsboro, NJ, with focused specialization in Salesforce, Guidewire and AWS. We provide expert solutions to our customers in various business domains.

Industry: Private Equity–Backed Manufacturing Location: Remote (US-Based Preferred) Start Date: ASAP Duration: 3–6 months with high potential for extension (Phase 2) Make a Real Impact from Day One Are you a seasoned Data Engineer looking for a project where your work directly drives financial decisions and business transformation? Join us on a high-priority initiative for a PE-backed manufacturer undergoing a major ERP shift. Your mission: help establish a critical monthly inventory valuation process by unlocking data from a legacy AS400 system. This is a unique opportunity to lead a highly visible, hands-on project from the ground up—solving real business problems, working with engaged stakeholders, and setting the stage for long-term modernization. What You'll Do Design & build an interim data extraction pipeline from a legacy AS400 (IBM iSeries) system. Create a monthly “book of record” for inventory valuation, enabling financial close and business reporting. Engineer a method to lock monthly labor and material inputs for data consistency and audit-readiness. Collaborate directly with finance, ops, and executive stakeholders—no red tape. Set the foundation for Phase 2 : advanced visualization and ongoing maintenance. What You Bring 8+ years of experience as a data engineer or technical data consultant. Solid track record of working with legacy systems , especially AS400/DB2 (strongly preferred). Strong skills in ETL pipeline development , SQL , and handling structured enterprise data. Comfortable working in fast-paced, private equity-backed or high-growth environments. Deep understanding of inventory valuation , cost inputs , or financial close processes . You're a self-starter , comfortable owning deliverables and working independently. Tech Environment AS400 / DB2 (preferred), legacy ERPs Python, SQL, Bash/Shell scripting SQL Server, Oracle, Snowflake Git or version control workflows Power BI, Tableau (for future phases) Why You'll Love This Role Immediate impact on a business-critical initiative Flexible, remote work setup with autonomy Work with a highly collaborative client team who values technical leadership Opportunity to own a project end-to-end , not just maintain someone else's code Visibility and influence with executive stakeholders Possibility for follow-on work in analytics, visualization, and ERP transformation

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.

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.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Description About Reserv Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims. Founded by insurtech veterans with deep experience in SaaS and digital claims, Reserv is venture-backed by Bain Capital and Altai Ventures and began operations in May 2022. We are focused on automating highly manual tasks to tackle long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters alike. We have ambitious (but attainable!) goals and need adjusters who can work in an evolving environment. If building a leading TPA and the prospect of tackling the long-standing challenges of the claims role sounds exciting, we can’t wait to meet you. About the role As a senior analyst in a well-funded Series B stage start-up, you will be defining our growth potential for years to come. You will be an integral part of Reserv’s data team, working with our customers to deliver high fidelity data and insights. For this role, we are seeking an experienced data analyst with 5+ years of hands-on Business Intelligence development and administration, strong SQL skills and a passion for building scalable, performant reporting solutions. Running independently and collaborating with our engineering and operations orgs alike, you’ll help both technical and non-technical teams unlock the full value of our data. If you are ready to mold the vision for Reserv’s technology, join us on the journey. What we need We need you to do all the things typical to the role: Develop and maintain our Looker ecosystem, aligning with industry best practices for model structure, governance, and scalability Own the documentation and user training program for our Looker reporting suite, improving data literacy and self-service analytics across the company Optimize underlying SQL and DBT models to support faster, more efficient reporting Collaborate closely with engineering, operations, and product teams to translate business processes into robust, maintainable data models Serve as the primary technical liaison between the data team and key internal stakeholders, ensuring analytical solutions meet real business needs Communicate ideas and solutions through clear, concise writing and presentations Help influence the culture, values, and processes of a growing data team Enjoy and have fun being creative and thinking outside of the box. You will need to draw on analogous situations you’ve worked on before, but we are not traversing well-traveled roads. “Where we’re going, we don’t need roads!” Requirements 6–8 years of experience as an individual contributor in analytics, with 5+ years of deep experience building and maintaining Looker models and dashboards Expertise in SQL (e.g., Postgres, BigQuery, Snowflake) and experience using dbt for transforming and modeling data Proven track record of managing and improving large-scale reporting environments, focusing on performance, usability, and governance Strong ability to collaborate and communicate effectively with both technical and non-technical stakeholders Ability to prioritize effectively between must-have and nice-to-have features in a fast-paced environment Have a strong technical skillset but also the willingness and ability to take over tasks outside your core competency Benefits Generous health-insurance package with nationwide coverage, vision, & dental 401(k) retirement plan with employer matching Competitive PTO policy – we want our employees fresh, healthy, happy, and energized! Generous family leave policy Work from anywhere to facilitate your work life balance Apple laptop, large second monitor, and other quality-of-life equipment you may want. Technology is something that should make your life easier, not harder! At Reserv, we value diversity in backgrounds, perspectives, and life experiences and believe that diversity in viewpoints and critical thinking drives innovation, first-principles thinking, and success. We welcome applicants from all backgrounds and encourage those from all walks of life to apply. If you believe you are a good fit for this role, we would love to hear from you!

About Particle Particle Health is revolutionizing healthcare data analytics and interoperability. Our mission is to unlock the power of medical records in an intelligent platform that focuses health back on the patient. Through our modern data platform, we enable healthcare innovators—ranging from value-based care providers and payers to digital health companies and health systems—to access standardized, real-time patient data. By bridging fragmented data silos, Particle empowers organizations to tackle critical use cases such as care coordination, risk stratification, patient identity management, and regulatory compliance with ease and precision. Our solutions of Snapshot, Signal, Navigator, and Workbench address the complex challenges of healthcare data analytics and interoperability, helping our customers transform data into actionable insights, improve patient outcomes, and streamline workflows. Company Overview At Particle Health, our mission is to unlock the power of medical records in an intelligent platform that focuses healthcare back on the patient. We do that through connecting our customers to national and state medical record exchanges, which facilitates medical record sharing and interoperability. That also gives us access to arguably some of the best fully longitudinal data on millions of patients. Our energy is then spent organizing and processing that data, making that data useful in different settings. Powered by this data, we are building a data platform offering important clinical insights to our customers. Our customers are Healthcare AI companies building solutions, digital healthcare providers, payers, EHRs, and condition-specific platforms. About the Role At Particle Health, data is at the core of everything we do. As a Healthcare Data Architect / Senior Data Engineer , you’ll play a pivotal role in organizing and optimizing our data assets to meet the evolving needs of our customers and the healthcare landscape. With access to diverse datasets like EHR, prescription fills, and provider data, you’ll tackle some of the most complex and impactful challenges in healthcare data today. We’re specifically looking for senior-level professionals with hands-on experience working with healthcare data —especially EHR formats like CCDA, FHIR, and HL7v2. This role is about more than technical expertise—it’s about curiosity and collaboration. You’ll explore the depths of patient-level data to uncover opportunities and solve problems, asking critical questions that guide us toward delivering transformative insights. From identifying treatment adherence patterns to predicting gaps in care and developing risk scores, your work will have a direct impact on our customers' ability to improve patient outcomes. Your contributions will shape the foundational components of Particle’s data platform and analytics strategy, driving innovation and quality across our products. You’ll also work closely with cross-functional teams to ensure our data capabilities align with business goals, helping us achieve our mission of making healthcare smarter and more patient-focused. Location & Work Schedule This is a hybrid role based in New York City . The team works in-office two days per week (Tuesdays and Thursdays) , so applicants must be located within commuting distance and comfortable with in-person collaboration. What You’ll Do As a Healthcare Data Architect / Sr Data Engineer your role will have three core focus areas: Data Engineering (75%) Build and optimize efficient, scalable data pipelines for ingestion, transformation, and enrichment, powering Particle Health’s Platform. Monitor, troubleshoot data issues, and ensure data availability, reliability, and scalability for the SaaS product. Work with Product and Engineering leadership to develop product features and analyses that enhance our understanding of the data and its applications. Implement data standards, policies, procedures, and best practices for data management, data quality, data security, and data privacy, ensuring compliance with internal and external regulations and standards. Help design and evolve Particle’s data infrastructure to reduce toil, improve operational efficiency, and reduce processing cost. Data Quality & Architecture (25%) Lead the design and development of a robust data architecture that guides data modeling, ingestion, processing, and data quality enabling data product development at Particle Health. Design and develop conceptual, logical, and physical data models ensuring they meet the needs of our platform and customers and account for the data domains, structures, relationships, quality, security, and data privacy of the product. Help address gaps in our data, identifying solutions, and improving reliability to establish a competitive edge and firmly cementing our data quality as a key differentiator of our platform. Collaborate Across Teams Work cross-functionally with Data Engineering, Data Science, Product, and Engineering teams to align on architectural needs and enable the development of new features and analyses. Partner with leadership to translate business requirements into scalable data solutions that provide insight and impact. What We Seek This is a senior-level, hybrid role based in NYC . Candidates must have prior experience working with healthcare datasets and be comfortable collaborating in person 2x/week. Extensive experience and domain expertise with healthcare data (especially EHR - CCDA, FHIR and/or Claims data, ADTs), including clinical applications and/or risk stratification. Advanced technical skills, especially with Python, SQL, and Spark —these are core to our data stack and day-to-day engineering work. Proven proficiency in building and optimizing data-intensive systems and pipelines. Deep curiosity and critical thinking to explore and break down complex data sets to isolate key outcomes. Effective communication skills to convey complex technical concepts to both technical and non-technical stakeholders. Analytical thinking and interest in using metrics to improve decision-making and influence behavior. Comfort with ambiguity. A lifelong learner who has the demonstrated ability to pick up new skills quickly. What You Bring to the Table 8+ years of experience in data engineering with a strong background in data architecture and data modeling. 5+ years of experience in data architecture, data modeling, data governance, and data analytics, preferably for SaaS products or cloud-based applications. 5+ years of experience with healthcare data & formats (e.g., CCDA, FHIR, HL7v2, Claims, ADTs, Tuva Schema, OMOP). Strong knowledge and skills in data modeling tools and languages and in designing data models for SaaS products or cloud-based applications. Deep expertise in Python , with a deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect. Experience with data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks. Bonus if you’ve worked with healthcare analytics products or platforms, or contributed to clinical decision-making tools, risk models, or care gap identification. Why Particle Health? Purposeful Work: Contribute to projects that directly improve healthcare access, empower providers, and enhance patient outcomes. Collaborative Culture: Thrive in a mission-driven, curiosity-fueled environment where ownership and bold ideas are celebrated. Flexibility & Balance: Enjoy unlimited PTO and a hybrid work schedule, giving you a mix of energizing, in-person collaboration, and remote work time. We also provide free lunch on Tuesdays and Thursdays when our team is in office! Bonus Program: Get rewarded for great work—our twice-a-year bonus program reflects both your contributions and our overall success. Comprehensive Benefits: ~ 95% employer-paid health benefits for you and generous coverage for your family. Employer-funded 401(k) contribution to help you build a secure future. Mental health benefits to support your well-being. Invest in Your Future: Receive employee equity, ensuring you share in the company’s success. Family Support: Access 14 weeks of fully paid parental leave, so you can focus on what matters most. At Particle Health, your contributions don’t just impact the company—they shape the future of healthcare. Join us, and let’s make a difference together! Compensation Range : For this role, we’re targeting a salary range of $200,000–$222,000 annually, depending on experience and qualifications. If your background aligns more closely with a higher or lower level than the scope outlined here, compensation may vary accordingly. #LI-Hybrid At Particle Health, we believe diversity is a strength that drives and fuels our mission to transform healthcare. We are proud to be an equal opportunity employer and are committed to creating an inclusive, supportive environment where everyone can thrive. We welcome and celebrate individuals of all backgrounds, perspectives, and experiences, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Our commitment to diversity reflects our core values—integrity, curiosity, boldness, ownership, and persistence—and our belief that our differences make us stronger as a team and a company. For more info about Particle and our team, check out the resources & links included. https://www.particlehealth.com/ https://builtin.com/awards/new-york-city/2024/best-startup-places-to-work#particle-health Notice: Recruitment Scam Alert We’ve been made aware of attempts by scammers impersonating Particle Health or our team members to post fake job listings, conduct fraudulent interviews, or issue fake offer letters. These scams may involve: Requests for personal or financial information Interviews conducted only via text or messaging apps Emails that don’t come from an @ particlehealth.com address Offers for jobs you didn’t apply for Please note: We will never ask for money, gift cards, or personal financial details at any stage of our hiring process All legitimate communication will come from an official @ particlehealth.com email address Our hiring process always includes video interviews — never just text If you’re unsure about the legitimacy of a communication, don’t hesitate to contact us at hiring@particlehealth.com . We’re here to help.

Base is planning to bring a million developers and a billion users onchain. We need your help to make that happen. The data engineering team develops and maintains robust data pipelines, builds trusted data sources, and creates analytics/data products that inject automation into data science processes, with a goal to empower users via self-serve analytics. What we do: Trusted data sources: Build and maintain a foundational data layer (data marts), that serve as the single source of truth across Coinbase. Reliable data pipelines: Design and implement robust data pipelines, guaranteeing data quality and timely data delivery across our organization. Data science developer tools: Build developer tools that inject automation into data science processes, improving efficiency and productivity. For example, data transformation, data modeling, and data quality tooling. Self-serve analytics products: Deliver tailored data products, designed to empower users with self-serve capabilities and ensure accurate answers to their data inquiries. What you’ll be doing (ie. job duties): Your primary responsibilities will include building tools and products that enhance data science productivity, enable self-serve analytics, and ensure data reliability and quality. This role deals specifically with blockchain data. More specifically: Data modeling: Design data models that support our data scientists in leveraging blockchain data in their analysis. Data transformation and tooling: Build tooling and pipelines for getting blockchain data from APIs, Files, and Databases into a clean and useful format. Data quality tooling: Build mechanisms of data quality measurement and enforcement. Ensure reliability and completeness of data. Scrappy & creative problem solving: Get creative in applying blockchain knowledge to write heuristics and models that answer questions about what is happening on chain. Cross-Functional collaboration: Work alongside fellow data engineers and cross-functional partners from Data Science, Data Platform, Machine Learning, and various analytics teams to ensure alignment on priorities and deliverables. Self-serve analytics: Enable stakeholders to self-serve their own analytics by making blockchain data available and approachable. What we look for in you (ie. job requirements): Blockchain data experience: You should know about blocks, transactions, token transfers, contract calls, account and UTXO models and labeling etc. Deep understanding of blockchains is a must. You will likely have used tools like Dune and Arkham before. Python: Must be adept at coding in Python. Go is a plus. Major experience with one or more modern languages is essential, particularly for data oriented tasks. SQL: Must have expert SQL experience for querying, transformation, and performance optimization. Experience with other types of DBs like graph databases and key-value stores is a plus. Data Compute Frameworks: Experience with data compute frameworks such as Spark, Flink, Beam etc. are a plus. ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT data pipelines to process large datasets. Experience with both batch and streaming is a plus. Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar pipeline orchestration tool. Data Visualization: Experience with tools like Superset, Hex, Looker, or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc) Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques. Experience with modeling for blockchain data or financial data is a plus. Collaboration and Communication: Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams. Fundamental DevOps Practices: Knowledge of unit testing, CI/CD, and git repository management, Docker, kubernetes etc. Prompt Engineering for LLMs: Expertise in leveraging LLMs and AI tools in your workflow, knowing where and how to apply them. Work with embeddings and vector search is a plus. G2754 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $207,000 — $244,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here) . Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment . To request a reasonable accommodation due to disability, please contact accommodations@coinbase.com .

Benefits: HYBRID Competitive salary Opportunity for advancement Senior Data Engineer – Big Data & Cloud Integration DALLAS, TX - HYRBID LONG TERM IN-PERSON INTERVIEW Data Engineer - L3 ROLE - Translate complex cross-functional business requirements and functional specifications into logical program designs and data solutions. - Partner with the product team to understand business needs and specifications. - Solve complex architecture, design and business problems. - Coordinate, Execute and participate in component integration (CIT) scenarios, system integration testing (SIT), and user acceptance testing (UAT) to identify application errors and to ensure quality software deployment. - Continuously work with cross-functional development teams (Data Analysts and Software Engineers) for creating PySpark jobs using Spark SQL and help them build reports on top of data pipelines. - Build, test and enhance data curation pipelines, integrate data from a wide variety of sources like DBMS, File systems and APIs for various OKRs and metrics development with high data quality and integrity. - Execute the development, maintenance, and enhancements of data ingestion solutions of varying complexity levels across various data sources like DBMS, File systems (structured and unstructured), APIs and Streaming on on-prem and cloud infrastructure. - Responsible for the design, implementation, and architecture of very large-scale data intelligence solutions around big data platforms. - Work with building data warehouse structures, and creating facts, dimensions, aggregate tables, by dimensional modeling, Star and Snowflake schemas. - Develop spark applications in PySpark on distributed environment to load huge number CSV files with different schema in to Hive ORC tables. - Perform ETL transformations on the data loaded into Spark Data Frames and do the in-memory computation. - Develop and implement data pipelines using AWS services such as Kinesis, S3 to process data in real-time. - Work with monitoring, logging and cost management tools that integrate with AWS. - Schedule the spark jobs using Airflow scheduler to monitor their performance. .... Flexible work from home options available. Compensation: $60.00 - $65.00 per hour About Us We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses. Work Approach Our Philosophy Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal. Work Policy We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution. The Future SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. Position Summary: The Senior Manager, Data, Analytics and AI Product Engineer- Clinical Data Management, Global Drug Development Information Technology (GDDIT), Data & Analytics team will be part of the product team committed to bridge the gap between technology and business needs within the Clinical Data Ecosystem (CDE) that primarily delivers technology strategy and solutions for clinical trial execution, data management and data review capabilities (e.g. Electronics Data Capture (EDC), Clinical Data Management & Reporting, Clinical Metadata Management etc.) in support of Clinical Data Management (CDM) business functions. The role is responsible for evaluating & analyzing business problems to address business challenges, improve operational efficiencies, help reduce cycle time by ensuring effective implementation of technology solutions, data and analytics capabilities. The Product Engineer role will work closely with global CDM stakeholders, including business users, software developers, project managers, and cross functional IT teams, to ensure successful strategy, planning, delivery, and operations of technology solutions that will bring value to BMS. Key Responsibilities: Accountable for delivering strategy, planning, and high-quality technology solutions for Clinical Data Management portfolio. As a Product Engineer, he/she will be responsible for defining Clinical Data Management product strategy, roadmaps, identification of product scope, implementation planning, feature stories, value proposition and success criteria to implement technology solutions. Responsible for collaborating with a team of clinical data management business stakeholders, technology data professionals including architect, engineers, UX designer, data scientist, product analysts, scrum master, validation analyst etc. Serves as a subject matter expert on Clinical Data Management solutions with domain knowledge. Analyze business challenges and identify areas for improvement through technology solutions. Knowledge in evolving technology solution trends in Clinical Data Management platforms and product-based implementation. Provide guidance to the resources supporting projects, enhancements, and operations. Stay up to date with the latest technology trends and industry best practices. Qualifications & Experience: Masters or bachelor's degree in computer science, information technology, or related field preferred. 4-6 years of hands-on experience working on implementing and operating in clinical data management capabilities and cutting-edge data solutions, in a cloud environment. Hands-on development experience managing and delivering data solutions with AWS technologies such as AWS Glue, Redshift, RDS (PostgreSQL), S3, EMR, Kinesis, Athena, Lambda, Azure/GCP, Databricks, Cloudera Data Platform, Tableau etc. Experience in technology capabilities that span the full life cycle of data management related applications and application of AI/ML in this space. Working experience with EDC (e.g. Rave) is a plus. Knowledge or prior experience in Clinical Data Management domain and Lifesciences Research is a plus. Excellent communication, collaboration and interpersonal skills to interact with diverse stakeholders. Ability to work both independently and collaboratively in a team-oriented environment. Comfortable working in a fast-paced environment with minimal oversight. Prior experience working in an Agile based environment. Product management experience is a plus. The starting compensation for this job is a range from $140,000 - $160,000, plus incentive cash and stock opportunities (based on eligibility). The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/ . Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Description Summary: 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.

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

This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry. At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process. Data Delivery Lead - Cloud Data Platforms Job Family Grouping: Chief Underwriting Officer Job Family: Data & Analytics Location: Halifax, NS. Canada How does this role contribute to our collective success? The successful candidate will play a pivotal role in the delivery of advanced data products, working closely with engineering teams to ensure scalable, secure, and high-performance data products that support our data strategy. This is a high-impact role, ideal for a proactive and technically strong leader with deep experience in cloud engineering, performance optimization, agile delivery, and managing distributed teams. What will you do in this role? We are looking for a highly skilled Data Delivery Lead to help guide and support the delivery of key data products across our Azure-based modern data platform.. Working closely with both onshore and offshore engineering teams, the successful candidate will focus on delivery, ensure best practices, and help drive high-quality solutions. Based in Halifax, this candidate will be instrumental in leading the delivery of key data initiatives, working with cross-functional teams to ensure outcomes are achieved on time, within budget, and aligned to business priorities. This role is ideally suited for a strong delivery leader with a solid background in data platform programmes-someone who understands the data domain and can drive delivery. Key Responsibilities: Lead the delivery of high-value data products and capabilities on a modern data platform, ensuring alignment with business and strategic objectives. Work closely with product owners, data platform teams, architects, and business stakeholders to shape delivery roadmaps and manage execution. Ensure projects and workstreams are effectively scoped, planned, and tracked-focusing on outcomes, timelines, risks, and dependencies. Coordinate delivery across multiple teams and vendors, ensuring alignment across technical and business domains. Champion agile delivery methods and iterative development approaches within the data delivery landscape. Monitor progress, manage risks, resolve issues, and report clearly to senior stakeholders on delivery status. Ensure that governance, compliance, and data management standards are followed throughout the delivery lifecycle. Maintain a strong focus on value delivery and continuous improvement. You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role. About You: We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals. Required Skills & Experience: Minimum 5 years proven experience in leading delivery of data products and platforms in complex enterprise environments. Strong understanding of the modern data platform landscape, including data lakes, data products, governance, and cloud platforms (Azure experience is a plus). Experience managing delivery across cross-functional teams, including technical, analytical, and business stakeholders. Excellent stakeholder management skills, with the ability to build trust and communicate effectively at all levels. Familiarity with agile and hybrid delivery models, ideally within regulated industries such as insurance or financial services. A pragmatic, outcome-oriented mindset with a focus on delivering value and navigating complexity. Preferred Qualifications: Experience working with or around platforms such as Azure Databricks, Unity Catalog, or similar data tools Experience integrating Databricks with enterprise tools (e.g., Profisee, Azure Purview, Power BI). Exposure to data governance, data quality, and metadata management practices. Background in cloud transformation, data modernization, or enterprise data initiatives. Prior experience working in regulated industries, particularly insurance or financial services, is highly desirable. Role Factors: The position is full-time with remote work options, requiring in-office presence three days per week What we offer: You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more.

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.