Data Scientist - Advanced Technologies jobs at Ey in United States, Dallas

Your key responsibilities

• Ensure system reliability, stability and performance by maintaining service-level objectives (SLOs) and minimizing downtime and incidents.
• Collaborate with internal teams to assess system health, stability and resilience, providing architectural and design recommendations for reliability.
• Lead incident management and post-incident reviews, diagnosing issues, deploying fixes and implementing preventive measures.
• Drive automation of operational tasks, including deployments, monitoring, scaling and system recovery, to improve efficiency and reduce manual intervention.
• Define and track key performance indicators (KPIs) such as availability, latency and error rates to optimize system performance and inform decision-making.
• Plan and execute chaos engineering experiments to test system resilience and coordinate performance testing for reliability improvements.
• Ensure alignment between service-level indicators (SLIs) and service-level objectives (SLOs) across the product family.
• Develop and maintain product-level runbooks for incident response, collaborating with SRE teams to ensure effective recovery processes.
• Provide leadership in tool selection and best practices for site reliability engineering (SRE), making final decisions on tools, libraries and standards.
• Work closely with development teams to improve software reliability, scalability and resilience by offering feedback on design and architecture.
• Lead troubleshooting and triage efforts during user-impacting incidents, ensuring swift resolution and minimal disruption.
• Participate in special projects and continuous improvement initiatives, supporting long-term reliability and scalability goals.

Skills and attributes for success

• A team player with strong analytical, communication and interpersonal skills
• Constantly updating yourself about new technologies in the market
• A winning personality and the ability to become a trusted advisor to the stakeholders

To qualify for the role, you must have

• Minimum 8 years of related experience, with at least 5 years in software development.
• Bachelor’s degree (B.E./B.Tech) in Computer Science or IT, or Bachelor’s in Computer Applications (BCA) from a recognized institution.
• Expertise in Site Reliability Engineering (SRE), DevOps, and system reliability, ensuring high availability and performance.
• Strong experience in mobile platform reliability (Android, iOS), including performance monitoring and optimization.
• Proficiency in observability and resiliency tools such as Splunk, Honeycomb, Datadog, Prometheus, or Grafana.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization/orchestration tools like Kubernetes, Docker, ECS, or Fargate.
• Solid understanding of automation, Infrastructure-as-Code (IaC), and configuration management using Terraform, Ansible, or CloudFormation.
• Strong programming and scripting skills in Python, Go, Bash, or Java, with experience in automating operational tasks.
• Experience with CI/CD pipelines, deployment automation, and version control tools like GitHub, Bitbucket, Jenkins, or Bamboo.
• Deep knowledge of incident management, root cause analysis, and post-incident reviews, focusing on continuous improvement.

Ideally, you’ll also have

• Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
• Be highly flexible, adaptable, and creative.
• Comfortable interacting with senior executives (within the firm and at the client)

What we look for

• Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values.

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Master Data Management/Governance – Senior Manager

In this role, you will design and apply comprehensive methods, practices, policies, tools, and processes to govern and control the entire lifecycle of data assets. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them. Additionally, you will articulate information strategies that align with business objectives. This is a high-growth, high-visibility role with significant opportunity to shape digital and data strategies.

Your key responsibilities

As a Senior Manager in Data Management, you will be at the forefront of transforming data into a strategic asset for our clients. You will lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. This role offers a unique opportunity to work closely with clients, providing insights and solutions that drive business value. You will be responsible for managing client relationships and engagement delivery, with regular travel requirements to meet client needs.

Develop solutions to complex problems, including functional and technical design of master data management software for key data domains such as customer, vendor, finance, and materials

• Lead engagement delivery and manage client relationships on a daily basis.
• Develop resource plans and budgets for engagements, ensuring effective engagement economics.
• Exercise judgment in selecting methods and techniques for obtaining results.
• Define and execute the analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements.
• Develop and implement robust data governance frameworks, including policies, data stewardship models, roles, and accountability across the organization.
• Oversee Master Data Management (MDM), metadata management, and data cataloging practices to ensure data consistency, discoverability, and trust.
• Ensure compliance with data privacy, protection, and regulatory standards (e.g., GDPR, CCPA), working closely with Legal, Security, and Risk teams.
• Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver high-quality outcomes and maintain stakeholder confidence.
• Design scalable, secure, and cost-effective data architectures in collaboration with enterprise architects and IT to support business intelligence and advanced analytics needs.
• Oversee cloud-based data management platforms and technologies such as Databricks, Snowflake, Azure, AWS, and Hadoop for ingestion, storage, and processing.
• Drive the design and implementation of analytical models, data pipelines, and visualizations to solve complex business problems and generate actionable insights.
• Leverage advanced analytics and machine learning techniques (e.g., optimization, forecasting, simulation) to enhance operational efficiency and reduce cost.
• Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains.
• Develop and champion data literacy programs, training, and change management initiatives to embed a data-driven culture across client organizations.
• Communicate analytical findings through compelling data storytelling, dashboards, and visualizations tailored to business and technical audiences.
• Build and maintain trusted relationships with client stakeholders across operations, IT, engineering, and executive leadership.

Skills and attributes for success

To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to build and manage relationships will be crucial, as will your capacity to communicate with impact.

• The candidate should possess a minimum of 12 years of direct involvement with MDM tools including SAP MDG and/or Informatica MDM
• Experience leading delivery teams in the areas of data governance, data management, and related system implementations
• Knowledge of future trends/changes in the industry and the ability to articulate these to customers
• Benchmark design, development, delivery knowledge
• Working knowledge of any of the cloud technologies AWS and Azure.
• Strong leadership and communication skills, with the ability to articulate complex issues and drive business outcomes
• Proven ability to research and provide insights on industry standards, regulations, technology assessments, and forecasts
• Demonstrated expertise in Data Privacy and Master Data Management.
• Strong understanding of Data Governance and Enterprise Strategy.
• Proven ability to lead teams and manage change effectively.
• Excellent negotiation and influencing skills.

To qualify for the role, you must have

• Bachelor’s degree required (4-year degree) in Engineering, Advanced Data Analytics, or a related technical or scientific field with prior consulting experience required.
• ERP implementation experience including full implementation cycles of SAP implementation with SAP MDG as a component
• At least 8 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry.
• Strong understanding of Data Governance principles.
• Experience with Enterprise IT Architecture.
• Deep knowledge of data governance, including data quality frameworks, stewardship models, compliance, and policy creation.
• Experience in Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation).
• Demonstrated experience designing and deploying scalable data architectures
• Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar.
• Ability to lead large-scale digital transformation engagements, manage delivery risk, and foster trusted client relationships.
• Strong communication and stakeholder management skills across technical and business domains.
• Passion for mentoring, knowledge sharing, and building high-performing data teams.
• Hands-on experience in cloud and data engineering tools including Azure, Databricks, Snowflake, and data orchestration platforms.
• A valid driver’s license in the US; willingness and ability to travel internationally to meet client needs
• A track record of successful stakeholder engagement and the ability to maintain and grow business relationships

Ideally, you’ll also have

• Experience in leading cross-functional teams with a focus on mentorship and professional development
• Advanced analytical skills to drive data-driven decision-making.
• 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
• Familiarity with data mesh concepts and decentralized data ownership models.
• Certifications in Azure Data Engineer, Snowflake, Databricks or related platforms.
• Experience with Data Office Organization and IT Architecture.
• Familiarity with Digital Fluency and Hybrid Collaboration techniques.
• Strong emotional agility to navigate complex interpersonal dynamics.

• Design, build, and maintain ETL/ELT pipelines to process large volumes of structured and unstructured data
• Integrate data from multiple sources, ensuring data accuracy, quality, and consistency across platforms
• Ensure adherence to data quality and security standards, and support the implementation of data governance policies
• Implement CI/CD processes for analytics code, enabling rapid development, testing, and deployment leveraging infrastructure as code (IaC)
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
• Collaboration & Support: Work closely with cross-functional teams (Data Analysts, Data Scientists, Product Managers) to deliver data products that meet business needs
• Monitor project progress diligently, manage potential risks, and keep key stakeholders updated on progress and expected outcomes. Stay informed about the latest business and industry trends, especially those relevant to cybersecurity and the client's business.
• Build and maintain strong business relationships with client personnel, positioning yourself as a trusted advisor in the implementation and management of solutions.
• Demonstrate technical expertise and professional knowledge. Show an eagerness to absorb new knowledge and adapt to emerging technologies in cybersecurity.
• Exhibit strong business acumen with an understanding of the strategic importance of SIEM technologies in protecting the client's business operations.
• Stay updated on the latest advancements in advisory services capabilities and broader industry knowledge.
• Apply a thorough understanding of complex information systems, leveraging your expertise in the current IT environment and industry trends to identify issues in client engagements. Effectively communicate these insights to both the engagement team and client management through clear written correspondence and articulate verbal presentations.
• Possess a thorough understanding of the incident response process and familiarity with frameworks like MITRE ATT&CK to enhance threat detection and response capabilities.

To qualify for the role you must have

• A bachelor’s degree and a minimum of 4 years of related work experience, or a Master’s degree and approximately 3 years of related work experience in the fields of Computer Science, Information Systems, Engineering, Business, or a related major.
• Proficiency in Python for scripting, automation, and working with APIs.
• Experience with CI/CD pipelines for version control, testing, and deployment of analytics code using Terraform, Azure Bicep, AWS formation IaC through GitHub and Git Actions
• Knowledge of data modeling best practices and the ability to leverage AWS Athena, Spotfire, Quicksight, PowerBI, etc,
• Exposure to Large Language Models (LLMs) and experience using them to support analytics, such as enabling natural language query interfaces
• Knowledge of general security concepts and methods, such as vulnerability assessments, privacy assessments, intrusion detection, incident response, the MITRE ATT&CK Framework, security policy creation, enterprise security strategies, architectures, and governance.
• Experience in leading process definition, workflow design, and process mapping, with an emphasis on integrating SIEM and SOAR capabilities into business operations.
• An understanding of networking (TCP/IP, OSI model), operating system fundamentals (Windows, UNIX, mainframe), security technologies (firewalls, IDS/IPS, etc.), and application programming/scripting languages (C, Java, Perl, Shell).
• A valid driver's license in the US and a valid passport are required.

Ideally, you’ll also have

• 3+ years of experience writing production-level code in Python, building data pipelines, and query language experience such as SQL, Kusto, GraphQL, etc.
• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) resources such as Storage Accounts, Streaming Services, Queues, Serverless Functions, KMS, IAM (least privilege), etc
• 2+ years of experience with using infrastructure as code (IaC) for resource / pipeline deployment using Terraform
• 1 + years of experience using Git, and Git Actions for maintaining, developing and deploying code to a cloud environment
• Exposure to AI/ML workflows and experience incorporating them into data pipelines
• Experience with Windows, Linux, UNIX, any other major operating systems.
• Understanding of AI Security tools
• Prior Consulting Experience
• Familiarity with REST API best practices and usage
• Familiarity with security technologies (Cloud, DLP, firewalls, IDS/IPS, EDR, etc.) and other SOAR products (Falcon Fusion, Splunk SOAR, Google Chronicle SecOps, LogicApps, Sentinel, etc.)
• CISSP, CISM, CISA, CIPT, CIPM, CRISC or other relevant certification desired

What We Offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Senior AnalystFinancial Services Organization – AI and Data - Solutions Delivery Center

Data has yet to be utilized to its fullest potential. Financial institutions are looking to build smarter and more efficient ways to operate their business, through new opportunities uncovered by their data. You’ll be solving complex problems, as well as giving deliverables to our clients in the AI and data space. With support from a highly talented team, you’ll have tremendous growth opportunities, with a focus on continuous learning and skills development to become a leader that can make significant contributions to companies.

Your key responsibilities

Yo will be working with diverse teams of professionals with different skill set to deliver a wide range of AI and data services. As part of that, you’ll need to be a team player with great communication skills, and have the desire to learn the technical skills required to fill the role.

Skills and attributes for success

• Collaborating, mentoring and coaching the teams with diverse skills and background
• Fostering an innovative and inclusive team-oriented work environment
• Being accountable for success of your team and the project’s components
• Building strong relationships with your internal clients
• Great communication and influencing skills
• Demonstrating in-depth technical capabilities, professional knowledge and interest in financial industry and technology
• Coding (programming) new customized software solutions using ETL
• Applying systems analysis techniques and procedures to data movement and data quality

To qualify for the role you must have

• A bachelor's or master’s degree
• Minimum of 3 years of related work experience

• Experience working with business, management and technology concepts

• Experience in computer software configuration and development with any of the following technologies: ETL Suites (Informatica, Infosphere, Ab Initio, SAP), DBMS
• Knowledge of data reporting solutions, including the ability to leverage pivoting data, graphs and charts
• Practical experience with different types of databases such as SQL Server, MySQL, Access, Oracle and DB2
• Knowledge of SQL syntax
• Good written and verbal communication skills
• A willingness and ability to travel at 0%-25%
• Valid driver’s license in the US
• Valid passport

Ideally, you’ll also have

• A degree in computer science, information systems or related technology majors
• Certification on any database management system, any reporting or data visualization or any programming or statistical language
• Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS or Azure
• Experience with Financial institutions

What we look for

We’re interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• Opportunities to develop new skills and progress your career
• Support and coaching from some of the most engaging and knowledgeable colleagues
• A collaborative environment where everyone works together to create a better working world
• Excellent training and development prospects

Your key responsibilities

Support project teams through all phases of the technology delivery life cycle to implement accounting software for private equity funds. Lend specific subject matter knowledge to the design and integration phase of each project, helping to give specificity to the appropriate architecture, data model, system design and interfacing requirements.

Our clients are always looking for ways to be more efficient and cost effective, you will advise clients on a variety of business process services that help identify, assess, manage and measure the organization's capabilities.

Skills and attributes for success

You will ideally have previous exposure in supporting technical aspects of Finance Transformation programs in areas such as general ledgers, sub-ledgers, financial close and reconciliations. You will have an understanding of accounting operations and business knowledge of private equity funds. You will possess excellent communication skills, problem-solving skills, and an inclination to bond with our clients to provide an outstanding service delivery experience.

To qualify for the role, you must have

• 3+ years of work experience, including 2+ year of system implementation execution, system implementation design, and/or lean / six-sigma operational improvement projects
• A minimum of 2 years of relevant experience at a private equity company or comparable working experience
• Used business process, organizational and technology capabilities and knowledge across several of the following focus areas:
• Finance Strategy (Vision, Mission, Guiding Principles)
• Financial Accounting and Reporting operations/technology
• General Ledger/ERP Systems features/functionality
• Private equity Subledger System and Data Warehousing features/functionality
• Financial Close and Reconciliations features/functionality
• Statutory Reporting Systems features/functionality
• Enterprise Technology Expense Reduction
• Demonstrated ability to support all phases of the technology life cycle, based on proven project management and testing methodologies as well as ability to coach and guide junior technology advisors
• Possess knowledge of technical architecture design and have a good understanding of technology tools and components to reasonably argue for and against all components (middleware, database, reporting tools, etc.) in financial systems architecture
• Possess business and accounting knowledge of private equity funds (such as understanding lifecycle events and resulting accounting; calculations relating to, but not limited to, management fee, carried interest, waterfall, and investor rebalance; and financial and regulatory reporting required of private equity funds
• Possess knowledge of private equity data needed to perform fund accounting
• Willingness and ability to travel approximately 25%-50%

Ideally, you’ll also have

• Graduate degree in computer science, engineering, accounting, finance or a related field
• Project experience in the following areas:
• Finance transformation and accelerated close; sub-ledger/ledger redesign; management reporting enhancement, business intelligence/decision support; enterprise application integration; financial planning, budgeting and forecasting; business/merger Integration; reconciliation redesign or improvement
• Experience or exposure to the following accounting softwares: FIS Investran, Blackrock eFront, LemonEdge, Entrilia, AllVue

Associate AnalystFinancial Services Organization – AI and Data – Service Delivery Center

Data has yet to be utilized to its fullest potential. Financial institutions are looking to build smarter and more efficient ways to operate their business, through new opportunities uncovered by their data. You’ll be solving complex problems, as well as giving deliverables to our clients in the AI and data space. With support from a highly talented team, you’ll have tremendous growth opportunities, with a focus on continuous learning and skills development to become a leader that can make significant contributions to companies.

Your key responsibilities

You will be part of diverse teams of professionals with different skill set to deliver a wide range of AI and data services. As part of that, you’ll need to be a team player with great communication skills, and have the desire to learn the technical skills required to fill the role.

Skills and attributes for success

• Being part of the team with diverse skills and background

• Demonstrating ability to review own work

• Building strong relationships with your internal clients
• Participating in the monitoring of the project and providing updates on the progress
• Coding (programming) new customized software solutions using ETL
• Applying systems analysis techniques and procedures to analyze and document requirements

To qualify for the role you must have

• A bachelor's or master’s degree
• Minimum of 2 years of work experience
• Experience in computer software configuration and development with any of the following technologies: ETL Suites (Informatica, Infosphere, Ab Initio, SAP), DBMS
• Proficiency in Python programming for data analysis and automation tasks
• Knowledge of data reporting solutions, including the ability to leverage pivoting data, graphs and charts
• Practical experience with different types of databases such as SQL Server, MySQL, Access, Oracle and DB2
• Good written and verbal communication skills
• A willingness and ability to travel at 0%-25%
• Valid driver’s license in the US
• Valid passport

Ideally, you’ll also have

• A degree in computer science, information systems or related technology majors
• Certification on any database management system, any reporting or data visualization or any programming or statistical language
• Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS or Azure
• Experience with Financial institutions

What we look for

We’re interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 10 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• Opportunities to develop new skills and progress your career
• Support and coaching from some of the most engaging and knowledgeable colleagues
• A collaborative environment where everyone works together to create a better working world
• Excellent training and development prospects

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Data Analyst, Technology Consulting - Data & Analytics (Data Architecture & Engineering) – Financial Services Office (Manager) (Multiple Positions) (1616983), Ernst & Young U.S. LLP, Dallas, TX.

Full time employment, Monday – Friday, 40-45 hours per week, 8:30 am – 5:30 pm.

MINIMUM REQUIREMENTS:

Must have a bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, must have a Master’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 4 years of related work experience.Must have 3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry.Must have 3 years of experience assisting clients with one or a combination of the following: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture.Must have 3 years of experience with one or a combination of the following: traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing.Must have 3 years of experience with Next-Gen platforms including one or a combination of the following: Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases.Must have 3 years of experience in one or a combination of the following: architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines.Must have 3 years of combined experience in at least 1 of the following:
- Traditional RDBMS (MS SQL Server, Oracle, MySQL or PostgreSQL)
- MPP (Redshift, Synapse, Teradata, Vertica or Netezza)
- NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan or Elasticsearch)
- Streaming Platform and Applications (Spark streaming, Kafka, Confluent or Storm)
- DevOps (Github, Kubernetes Jenkins or Terraform)
- Data Modeling (Data Vault, Star, Snowflake, or Canonical)Requires domestic and regional travel up to 60% to meet client needs.Employer will accept any suitable combination of education, training or experience.