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Title:Sr. Manager Data Governance
Location: Richardson, TX Hybrid
Duration: 6 months possibility of FTE conversion yes
JOB SUMMARY
This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes
- Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
- Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
- Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
- Serve as the data governance champion of strategic data products and supporting metadata and reference data.
- Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
- Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
- Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
- Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
- Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
- Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
- Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
- Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
- Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
- Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
- Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
- Develop and implement metrics needed to monitor/ report on data governance and data management progress
- Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
- Performs other duties as assigned.
SUPERVISORY RESPONSIBILITIES
Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION and EXPERIENCE
Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.
- 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
- 5 or more years of related experience in related industry; commercial real estate management preferred.
- 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
- Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
- Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
- Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.
CERTIFICATES and/or LICENSES
None
COMMUNICATION SKILLS
- Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
- Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
- Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
- Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
- Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections
FINANCIAL KNOWLEDGE
- Requires basic knowledge of financial terms and principles.
- Participates in complex financial/business analysis and report reviews prepared peers or leaders.
- Manages to and oversees department budget.
REASONING ABILITY
- Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.
- Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
- Demonstrated ability to balance long-term strategy with quick wins.
- Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
- Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
- Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
- Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
- Ability to tell a story to explain or sell a concept.
OTHER SKILLS and/or ABILITIES
- Utilizes an entrepreneurial approach and develops innovative solutions.
- Ability to write business cases, process maps, presentation materials and articles using distinctive style.
- Ability to make effective and persuasive presentations on complex topics across various levels of leadership
- Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
- Ability to use strong conceptual and analytical skills to generate insights and recommendations.
- Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
- Experience managing small to mid-size teams and delivering results.
- Thorough knowledge of cutting-edge data management tools, industry advances, etc.
- Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
- Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
- Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
- Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
- Skills in MS Visio, Word and PowerPoint is a plus.
- Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
- Software development lifecycle knowledge, with background in agile philosophies and
Job Description
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238
CarMax, the way your career should be!
About the Team
The primary responsibility of the Logistics Modeling team is to intelligently and efficiently plan how CarMax moves vehicles across its nationwide network. Each year, CarMax completes over 2 million vehicle moves, and our data scientists develop algorithms that determine which moves are executed by CarMax and which are handled by third-party logistics partners. For the moves CarMax completes, the team generates detailed plans specifying exactly which vehicles each driver will transport and when. To be successful, these plans must optimize efficiency while ensuring vehicles arrive on time to meet customer and operational needs.
What You Will Do – Essential Responsibilities
Develop optimal planning strategies that meet both short and long term business objectives
- Leverage exceptional business knowledge, creativity, vision and analytic skills in order to lead the development of optimal logistics planning strategies
- Develop right optimization strategy given CarMax’s unique business model
- Leverage strong analytic communication skills to gain broad buy-in to planning strategies and goals at all levels of the organization
- Continuously improve our logistics strategy by delivering $10-25MM/yr of incremental value
Build a highly engaged team of 4-7 Data Scientists with the skills to implement our logistics strategies across millions of moves each year
- Create a rewarding and challenging environment designed to teach uniquely gifted analytic professionals how to become effective, value adding data scientists
- Leverage strong functional expertise in a quickly evolving field to ensure that team members have the right technology to meet today’s business needs.
- Set specific, actionable short and mid-term goals for each team member
- Challenge, develop & recognize team members when they achieve their goals
Lead the building of Artificial Intelligence to autonomously plan every move in an optimal way
- Leverage strong mathematics, statistics and technology skills (machine learning, Python, etc.) in order to lead the development of sophisticated planning models that autonomously implement our strategies
- Leverage strong computer science and software engineering skills in order to build software that (a) Calculates the optimal logistics plan for each move and (b) Delivers that plan to the logistics team in seconds
- Lead cross functional efforts to implement new models with IT and the field
- Apply exceptional experiment test and design skills in order to measure the business impact of different planning changes
Purpose of the Role
CarMax relies on algorithms to efficiently move vehicles across our network of 200+ stores, ensuring optimal routes, driver utilization, and on-time delivery while minimizing transportation costs. Doing so ensures that we have the right cars at the right prices at the right time and place to meet our customers’ needs. As we continue to innovate our business and shift more of our buying and selling online, we increasingly need to make these decisions quickly with less human intervention. Our team of data scientists plays a critical role in unlocking the business value from these innovations.
Qualifications and Requirements:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
- Undergraduate degree with exceptional academic performance in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering). Advanced Degree (Master’s/Ph.D.) is a plus.
- Mathematical, modeling, and reasoning skills in order to build complex planning models
- 4+ years’ experience in strategy, analytics and/or data science
- Proven ability to deliver business value by leveraging deep analytic skills in order to solve complex business problems
- Computer programming skills in order to turn the mathematical model into Artificial Intelligence
- Leadership skills necessary to build a highly engaged team and to work cross functionally to implement new logistics models and strategies
- Exceptional verbal, written, and listening skills necessary to (a) effectively manage their team, (b) listen and understand conflicting points of view on complex matters, (c) navigate through potential contentious situations that periodically occur in a change process, and (d) communicate complex ideas.
- Experience managing highly analytical projects and people.
Work Location and Arrangement: This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 5 days per week
Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.
About CarMax
CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.
Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.
Our Commitment to Diversity and Inclusion:
CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.
CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, protected veteran status, disability status, and any other characteristics protected by law.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.
Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.
Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.
Drive long term improvement of data standards, definitions, lineage, and quality processes.
Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.
Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.
Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries, tune stored procedures, and improve data processing performance.
Document audit findings, validation processes, data flows, standards, and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
Provide training on data entry, data handling, stewardship practices, and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.
GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.
Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.
SSIS development, deployment, and troubleshooting.
Data profiling, validation rule design, quality scoring, and measurement techniques.
ETL/ELT pipeline design, debugging, and optimization.
Data modeling (conceptual, logical, physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI, Tableau, or similar tools.
Strong documentation and communication skills.
Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure, Databricks, GCP).
Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
Master’s degree preferred.
Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
The Warehouse Agent is responsible for executing daily warehouse operations, including
receiving, inventory control, order fulfillment, shipping preparation, and maintaining an
organized and compliant warehouse environment. This role ensures accuracy, safety,
efficiency, and adherence to company operational standards.
Essential Duties and Responsibilities
1. Receiving and Inbound Processing
● Unload, inspect, and verify incoming shipments against purchase orders and packing
lists.
● Identify and report discrepancies or damages.
● Label and properly store inventory in designated locations.
● Update inventory records in the Warehouse Management System (WMS).
2. Inventory Control
● Maintain accurate product locations and inventory counts.
● Perform cycle counts as assigned.
● Ensure barcode scanning compliance for all inventory movements.
● Support inventory audits and reconciliation processes.
3. Order Fulfillment and Shipping
● Accurately pick, pack, and stage customer orders.
● Verify order accuracy prior to shipment.
● Prepare shipping documentation as required.
● Ensure timely processing of outbound shipments.
4. Warehouse Organization and Maintenance
● Maintain a clean, safe, and organized warehouse environment.
● Follow established warehouse layout and storage standards.
● Assist with racking organization and material handling best practices.
● Dispose of waste materials according to company procedures.
5. Safety &Compliance
● Follow all company safety policies and OSHA guidelines.
● Operate warehouse equipment safely and responsibly.
● Report unsafe conditions immediately.
● Participate in required safety training.
Performance Standards
● Maintain inventory accuracy standards as defined by management.
● Adhere to established operational procedures.
● Meet productivity expectations as defined by management.
● Demonstrate reliability and consistent attendance.
● Contribute to a positive and team-oriented work environment.
Qualifications
Required:
● High school diploma or equivalent.
● Ability to lift up to 50 lbs.
● Basic computer proficiency.
● Strong attention to detail.
● Reliable attendance and punctuality.
● Ability to read, write, and communicate effectively in English to understand safety
procedures, work instructions, and operational documentation.
Preferred:
● 2+ years of warehouse experience.
● Experience with WMS systems and barcode scanners.
● Forklift certification.
Physical Requirements
● Standing, walking, and bending for extended periods
● Lifting, carrying, and moving materials up to 50 lbs.
● Operating warehouse equipment as required.
Work Environment
This position operates in a warehouse environment that may involve exposure to varying
temperatures, noise from equipment, and moving machinery.
This is a 03 months contract opportunity with long-term potential and is located in U.S(Remote).
Please review the job description below and contact me ASAP if you are interested.
Job ID:26-08963 Pay Range: $22
- $23/hour.
Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities: Submit a minimum of 8 submission per 8-hour shift.
This can change as we are going to process changes.
Review request, research, and submit changes per regulation/business rules.
The main function of a data entry specialist is to operate data entry devices, such as a keyboard or computer, to verify and input data.
A typical data entry specialist is responsible for accurate information documentation and personal project management.
Read source documents such as practitioner profiles, emails, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.
Compile, sort and verify the accuracy of data before it is entered.
Locate and correct data entry errors or report them to supervisors.
Compare data with source documents, or re-enter data in verification format to detect errors.
Maintain logs of activities and completed work.
Key Requirements and Technology Experience: Key Skills;Technical skills include documentation skills and time management.
Health plan experience, data entry experience, Previous experience with computer applications, such as Microsoft Word and Excel.
3-5 years of data entry experience is required.
A High School Diploma or GED is required.
Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions.
If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc.
provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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and its affiliates, and contracted partners.
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Message and data rates may apply.
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Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
- Technical Skills Applications Integration
- Cloud Computing and Cloud Computing Architecture
- Data Architecture Design and Modelling
- Data Integration and Data Quality
- AI/Agentic AI driven data operations
- Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
- Strong relationship management and business development skills.
- Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
- Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
- Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
- Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
- Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
- Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Establish data governance policies and practices, including data security, quality, and lifecycle management.
- Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
- A Bachelor’s degree required in STEM
- 12+ years professional consulting experience in industry or in technology consulting.
- 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
- 5+ years’ experience with native cloud products and services such as Azure or GCP.
- 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
- In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
- Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
- Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
- Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
- Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
- Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
- Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
- Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
- Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
- Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
- Experience leading Infrastructure and Security engineers and architects in overall platform build.
- Excellent leadership, communication, and project management skills.
- Data Security and Database Management
- Enterprise Data Management and Metadata Management
- Ontology Design and Systems Design
Ideally, you’ll also have
- Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
- Experience working at big 4 or a major utility.
- Experience with cloud data platforms like Databricks.
- Experience in leading and influencing teams, with a focus on mentorship and professional development.
- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
- The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
- Building and Managing Relationships
- Client Trust and Value and Commercial Astuteness
- Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .
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Duration-: 10+ Months
Location: Remote
Overview
An experienced Solution Architect to lead the enterprise rollout of Microsoft Purview across a complex global, multi cloud environment. The consultant will define architecture, implement domain?based governance, and drive adoption of Purview capabilities including cataloging, lineage, classification, access governance, and compliance controls.
Key Responsibilities
- Architecture & Implementation
- Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
- Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
- Establish Purview reference architecture, integration patterns, and guardrails.
- Domain Based Governance
- Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
- Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
- Platform Configuration
- Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
- Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
- Security & Compliance
- Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
- Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
- Engineering & Integration
- Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
- Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
- Adoption & Stakeholder Management
- Deliver training, onboarding playbooks, and steward enablement.
- Lead workshops for new data domains and products.
- Provide executive level reporting on progress, risks, and KPIs.
Required Qualifications
- 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
- Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
- Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
- Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
- Financial services or regulated industry exposure.
- Excellent communication, stakeholder leadership, and cross domain facilitation skills.
Job Title: Contracts Manager – Utility-Scale Solar & Energy Storage
Location: Austin, Texas
Employment Type: Full-Time
Position Summary
The Contracts Manager oversees all contractual activities for utility-scale solar and energy storage projects from early development through project execution. This position ensures compliance with contract requirements, manages risk, and supports project teams in delivering high-quality projects on schedule and within budget. The ideal candidate brings extensive experience in contract negotiation, risk mitigation, and familiarity with industry standards in renewable energy.
Key Responsibilities
Contract Drafting & Negotiation
- Prepare, review, and negotiate EPC (Engineering, Procurement & Construction), O&M (Operations & Maintenance), supply agreements, and other project-related contracts.
- Partner with legal counsel to ensure alignment with laws, regulations, and company policies.
- Maintain contract documentation, exhibits, and version control.
Risk Management
- Identify contractual risks at all stages of the project lifecycle.
- Develop and implement strategies to reduce exposure and resolve disputes effectively.
Project Support
- Collaborate with project management, engineering, and procurement teams to align contract terms with project timelines, budgets, and objectives.
- Track contract execution and ensure adherence to all terms and conditions.
Stakeholder Coordination
- Act as the primary contact for clients, vendors, and subcontractors on contractual matters.
- Facilitate communication between internal teams and external stakeholders.
Documentation & Reporting
- Maintain organized, accurate records of all contracts and related correspondence.
- Provide regular updates on contract status, risks, obligations, and key deliverables.
Qualifications
Education:
Bachelor’s degree in Business, Law, Engineering, or a related field. JD or MBA preferred.
Experience:
- Minimum of 5 years in contract management, ideally within renewable energy or large-scale infrastructure.
- Demonstrated success negotiating complex EPC and supply agreements.
Skills:
- Strong understanding of construction law, commercial terms, and risk allocation principles.
- Excellent negotiation, communication, and organizational abilities.
- Proficient with contract management platforms and Microsoft Office Suite.
Preferred Attributes:
- Experience with utility-scale solar and battery energy storage systems (BESS).
- Knowledge of regulatory and permitting requirements in the renewable energy industry.
- Ability to thrive in a fast-paced environment and juggle multiple priorities.
Working Conditions
- Primarily office-based with occasional travel to project sites and meetings with vendors or contractors.
- Extended hours may be required during key milestones or contracting deadlines.
If this role is of interest either apply direct or email Simon Howard ( )
Minimum of five years experience working in analytics with hospitals and health plans.
Advanced proficiency required with VBA, SQL, Salesforce, Excel and Access.
High-level skills using web applications and all browsers; ability to teach others how to use web-based database functions.
Demonstrated experience using Microsoft Office computer applications, including Word, Access, Outlook and SharePoint.
Advanced knowledge of Excel required.
Detail-oriented with strong follow-through and ability to work independently given standard guidelines and checklists.
Good writing and communication skills.
Able to draft grammatically correct and professional email messages.
Demonstrated experience in working successfully with minimal supervision.
Must have knowledge of medical and health care terminology.
Ability to complete HIPAA training and implement high-level protections on patient information and confidentiality.
Must work effectively independently and in a team setting.
Ability to relate well with internal and external customers.
Quality/Metrics: Gather and perform analysis on data from Salesforce, Loopback, Excel, and other databases as required.
Perform data cleaning as needed to ensure data are consistent and analyzable.
Create data reports, charts, graphs and tables for regular reporting to program leads and external partners.
Export data from software systems and program tracking logs for agency reporting.
Assemble reports, papers and presentation materials as directed.
Collect data through phone and in-person interviews.
Record or transcribe data in accordance with project and funding source guidelines.
Perform literature reviews (locating, listing &/or abstracting articles).
Enter literature references into shared database (such as EndNote) Responsibilities: Data cleaning, formatting, and maintenance as needed.
Data visualization and analysis of program metrics.
Data Entry for the program(s) assigned.
Program reporting/billing/invoicing support.
Administrative duties as needed (Mailing and other assigned work) Establish and maintain systems for program accountability – reports track performance.
Attend and ensure follow up after all meetings and presentations – minutes, reports, action plans, assignments, and etc.
Monitors performance, responsibilities of field staff with respect to database management, metrics, and documents.
Reports all errors in systems, workflows, and both internal and external individuals.
Completes reporting (both internal and contractual requirements) with thorough knowledge and understanding of what is being reported.
Develops and maintains a current understanding of the Department’s Contractual Agreements.
Must have professional verbal and written skills, computer/software skills.
Assists with both internal and external customer service calls, emails, and requests.
Other Miscellaneous tasks assigned, as needed.
SQL Server database design, implementation, troubleshooting Develop, optimize, and maintain complex T-SQL queries, stored procedures, indexes, constraints; resolve performance issues, deadlocks, and contentions using traces, execution plans, and profiling.
Design, develop, test, and implement ETL/ELT processes using Talend for data extraction, transformation, and loading from diverse sources, including Salesforce CRM data.
Administer and optimize Talend environment, including job scheduling, dependencies, monitoring, automation, patches, upgrades, and performance tuning.
Integrate Salesforce data (e.g., via APIs, connectors) into SQL Server databases and data warehouses, ensuring data quality, synchronization, and real-time/ batch processing.
Collaborate face-to-face/with business stakeholders to analyze requirements, gather specifications, evaluate data sources/targets, and design solutions that improve business performance.
Lead ETL development activities, ensure code quality, provide feedback on performance.
Support enterprise data warehouse, data marts, and business intelligence initiatives; perform source data analysis and dimensional modeling.
Develop and automate processes using scripting.
Provide tier 2/3 support, evaluate production issues, recommend improvements, and participate in project planning following Agile methodologies.
Perform proactive performance optimization, and data synchronization across environments Mentor staff, recommend process enhancements, and contribute specialized knowledge across IT and business operations.
Document data integration processes, workflows, ETL designs, data mappings, technical specifications, and system configurations Manage version control, deployments Collaborate on testing (unit, integration, UAT Translated business requirements into actionable data specifications, documentation, and code solutions using Salesforce Object Manager and official documentation Reviewed Salesforce release notes, verified production deployments, and conducted feature testing across sandbox and production environments with detailed feedback submission Developed and maintained complex SOQL queries to support data team operations, reporting, and analytics needs Designed and built custom Salesforce reports to support data operations and Enhanced Care Management (ECM) programs Developed and deployed end-to-end solutions for processing health plan MIF data, enabling efficient insert, update, and reporting workflows for Lead and Case objects Performed large-scale data inserts, updates, and migrations using Salesforce Data Loader in both sandbox and production environments Extracted, analyzed, and transformed backend Salesforce data using Talend and SQL to produce accurate reports for compliance, billing, and operational needs Identified and resolved reporting discrepancies and data quality issues through root-cause analysis and targeted corrections Cleaned, standardized, and transformed referral data for mass uploads into Salesforce while enforcing validation rules and workflow requirements Created Salesforce-based error reports that enabled program teams to quickly identify and correct data entry issues Conducted data gap analyses against vendor reporting requirements and designed field transformations and new data structures to meet compliance and reporting standards Integrated offshore datasets with Salesforce records to address missing or incomplete data, improving accuracy for reporting and billing Reduced manual data entry and correction efforts by automating large-scale updates, inserts, and fixes via Salesforce Data Loader Maintained vendor zip code records in Salesforce to ensure accurate service area tracking, correct billing rates, and reliable historical reference Partners in Care Foundation is an equal opportunity employer.
We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations.
It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of age, race (including hair texture and protective hairstyles, such as braids, locks, and twists), color, national origin, ancestry, religion, sex, sexual orientation, pregnancy (including childbirth, lactation/breastfeeding, and related medical conditions), physical or mental disability, genetic information (including testing and characteristics, as well as those of family members), veteran status, uniformed service member status, gender, gender identity, gender expression, transgender status, arrest or conviction record, domestic violence victim status, credit history, unemployment status, caregiver status, sexual and reproductive health decisions, salary history or any other status protected by federal, state, or local laws.
All qualified applicants will receive consideration for employment and reasonable accommodations may be made to enable qualified individuals to perform the essential functions of the position.
Remote working/work at home options are available for this role.
The University of Maryland (UMD) seeks a Manager of Data Analytics Enablement to lead the adoption and modernization of enterprise analytics capabilities that enable trusted, data-informed decision-making across campus.
This is an exciting time to join UMD as we advance enterprise data and analytics through a period of innovative growth and modernization.
This role will play a key part in shaping the future of enterprise business intelligence, advancing Microsoft Power BI and Fabric capabilities, and embedding sustainable data quality and stewardship practices into analytics workflows.
Reporting to the Director of Enterprise Data Services, this position partners with institutional leaders, IT teams, and enterprise stakeholders to deliver reliable data products, consistent metrics, and actionable insights.
The manager will lead a team of data professionals and advance practical, operational governance practices that support trusted analytics and long-term institutional impact.
Key Responsibilities: Lead the strategy, development, and continuous improvement of the university’s enterprise business intelligence environment, including Microsoft Power BI and Microsoft Fabric.
Establish standards, best practices, and architectural patterns for semantic models, dashboards, and analytics delivery.
Guide migration and modernization efforts to ensure scalable, secure, and high-performing analytics solutions.
Develop and manage an analytics intake, prioritization, and delivery framework aligned with institutional priorities.
Define and implement data quality monitoring practices to ensure reliability, accuracy, and consistency of enterprise data assets.
Partner with technical teams to embed validation, monitoring, and observability into data pipelines and lakehouse environments.
Promote consistent metric definitions and collaborate with campus stakeholders to clarify data ownership and stewardship roles.
Support adoption of metadata management, data catalog, and lineage capabilities.
Ensure analytics solutions align with university standards for security, privacy, and responsible data use.
Manage, mentor, and develop a team of analytics and data professionals, fostering a culture of quality, collaboration, and service.
Communicate analytics priorities, progress, and impact to leadership and campus partners.
**This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services.
** **May be required to work evenings, nights, weekends, or different shifts for extended periods.
** KNOWLEDGE, SKILLS, & ABILITIES: Knowledge of data privacy and security principles and practices necessary to protect systems and data from threats.
Knowledge in areas of subject matter expertise such as databases, data modeling, ETL, reporting, data governance practices, metadata management, data stewardship, and/or regulatory compliance.
Skill in SQL or programming/scripting languages (e.g.; Python) used for integrations, data pipelines, report development, and data management.
Skill in adapting communication style to different audiences, including technical, business, and executive stakeholders.
Skill in the use of office productivity software such as Office 365 or Google Workspaces.
Ability to lead presentations and training for large groups.
Ability to manage communications and relationships with technical and business stakeholders.
Ability to collaborate effectively with other Managers, Assistant Directors, and Directors to identify and solve problems, make improvements, and address ongoing issues.
Ability to provide a team with effective direction and support in implementations using standards and techniques that lead to a repeatable and reliable solution.
Ability to ensure documentation standards and procedures are implemented for all team responsibilities.
Ability to define deadlines and manage the quality of the work delivered.
Ability to comprehend and handle interpersonal dynamics, demonstrate empathy towards team members, and effectively manage conflicts or challenging circumstances.
Ability to coach and mentor team members in order to enhance their performance, provide constructive feedback, and support skill development.
Physical Demands: Sedentary work.
Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
Repetitive motion.
Substantial movements (motions) of the wrists, hands, and/or fingers.
The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
Minimum Qualifications Education: Bachelor’s degree from an accredited college or university.
Experience: Three (3) years of professional experience supporting the operations, maintenance, and administration of data systems, analytics platforms, or data management programs.
One (1) year leading or supervising professional staff.
Other: Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education.
Preferences: Demonstrated experience leading business intelligence or enterprise analytics initiatives.
Experience managing or mentoring data professionals in a collaborative team environment.
Strong experience with Power BI and modern data platforms such as Microsoft Fabric, Databricks, or similar cloud-based analytics ecosystems.
Proficiency with SQL and/or Python in support of analytics, data modeling, or data quality initiatives.
Experience implementing or advancing data quality practices, including validation, monitoring, or metric standardization.
Experience supporting practical data governance activities such as establishing shared definitions, coordinating data stewardship, or implementing metadata/catalog tools.
Demonstrated ability to collaborate across diverse stakeholders and translate business needs into scalable analytics solutions.
Strong communication skills with the ability to engage both technical and non-technical audiences.
Experience using Jira or similar tools for work intake, project tracking, and prioritization.
Additional Information: Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our College Park, MD location per week.
Telework is not a guaranteed work arrangement.
Visa Sponsorship Information: DIT will not sponsor the successful candidate for work authorization in the United States now or in the future.
F1 STEM OPT support is not available for this position.
Required Application Materials: Resume, Cover Letter, List of three References Best Consideration Date: March 26, 2026 Open Until Filled: Yes Salary Range: $149,120.00
- $178,944.00 Please apply at: Job Risks: Not Applicable to This Position Financial Disclosure Required: No For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website .
Department: DIT-EE-Enterprise Data Services Worker Sub-Type: Staff Regular Benefits Summary: For more information on Regular Exempt benefits, select this link .
Background Checks: Offers of employment are contingent on completion of a background check.
Information reported by the background check will not automatically disqualify anyone from employment.
Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information.
The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility: The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization.
Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement : The University of Maryland, College Park is an Equal Opportunity Employer.
All qualified applicants will receive equal consideration for employment.
Please read the University’s Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice See above description for requirements
