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*At Securian Financial the internal position title is Data Science Sr Con.*
Position Overview
As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.
You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.
Key Responsibilities
Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.
Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.
Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.
Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.
Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.
Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.
Drive adoption of enterprise standards for data science, machine learning, and responsible AI.
Identify opportunities for process improvements and automation using advanced analytics and AI techniques.
Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.
Preferred Qualifications
A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.
Experience building and deploying production solutions
Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.
2+ years of experience in Insurance, actuarial, or a related field
Proficiency in programming languages such as Python
Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.
Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models
Excellent problem-solving skills and the ability to think critically and analytically.
Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.
Demonstrated ability to manage multiple projects and prioritize tasks effectively.
A passion for continuous learning and staying current with industry trends and developments.
Preferred Skills
Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.
Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.
Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.
Knowledge of data governance and data privacy regulations.
Background in finance, healthcare, or other specialized industries.
#LI-hybrid **This position will be in a hybrid working arrangement.**
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
The estimated base pay range for this job is:
$111,300.00 - $207,800.00Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:
Paid time off:
We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
Holidays: Securian provides nine company paid holidays.
Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.
Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:
Mental Wellness and Disability
Pride at Securian Financial
Securian Young Professionals Network
Securian Multicultural Network
Securian Women and Allies Network
Servicemember Associate Resource Group
For more information regarding Securian's benefits, please review our Benefits page.
This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.
Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).
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Remote working/work at home options are available for this role.
Duration: 12 Months (Temp to Hire)
Location: Newark, NJ 07102
Job Description:
Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions.
As a Data Scientist on/in the US Businesses PruAdvisors Data Science Team you will partner with Machine Learning Engineers, Data Engineers, Business Leaders and other professionals to build GenAI and ML models to improve advisor experience, perform lead scoring, and increase sales revenue. You will implement AI and machine learning models that will deliver stability, scalability and integration with other advisor products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Responsibilities:
- Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
- Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
- Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
- Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
- Manage external vendors in the execution of parts of the data science development process as needed.
- Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
- Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
- Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
- Familiarity with Python, SQL, AWS, and JIRA.
- Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
The Skills and expertise you bring:
- Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
- Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
- Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
- Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
- Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
- Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
- Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
- Excellent problem solving, communication and collaboration skills, and stakeholder management
- Significant experience and/or deep expertise with several of the following:
- Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
- Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
- Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
- Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
- Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
- Programming Languages: Python and SQL
LocationAtlanta, Georgia
Full/Part TimeFull-Time
Regular/TemporaryRegular
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About Us
Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the well-being of our community.
8. We act ethically.
9. We are responsible stewards.
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
Location
Atlanta, GA
Department Information
About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology
The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report.
In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree.
Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia.
ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity.
Job Summary
The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.
Responsibilities
1. Research Leadership in Foundation Models, World Models, and Frontier AI
- Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale.
- Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments.
- Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models.
- Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.
2. Lab Management and AI Compute Infrastructure Operations
- Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks.
- Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
- Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
- Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation.
3. Affiliate Engagement, Business Development, and Partnerships
- Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
- Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
- Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
- Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.
4. Project Management and PhD Mentorship
- Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning.
- Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
- Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.
Required Qualifications
Research Scientist/Engineer I
Bachelor's Degree in Electrical Engineering, Physics, or related area.
Research Scientist/Engineer II
- A Master's degree and three (3) years of relevant full-time experience after completion of that degree,
- A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
- A Doctoral degree.
Senior Research Scientist/Engineer
- A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,
- A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
- A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree.
Preferred Qualifications
- PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
- Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
- Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
- Demonstrated experience mentoring students or leading technical AI teams.
- Strong communication and presentation skills for both technical and non-technical audiences.
Contact Information
Linda Dillon, Lucretia Allen or Shalonda Williams at
USG Core Values
The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.
Equal Employment Opportunity
The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
Other Information
This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.
Background Check
Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening
This role is ideal for someone with strong Revit technical depth who enjoys building intelligent, data-rich models that drive construction documentation and system coordination.
Title: Senior Revit Designer
Compensation: $80-120/hr (DoE)
Type: 6 - 9 Month Contract
Industry: Entertainment
Key Responsibilities Revit Modeling & BIM
- Develop, manage, and maintain highly detailed Revit models for show-set and scenic environments
- Lead Rhino-to-Revit model integration workflows
- Convert 2D AutoCAD documentation into fully coordinated Revit 3D BIM models
- Build parametric families and custom Revit components as needed
- Ensure model integrity, organization, performance, and BIM compliance
- Integrate A/V, lighting, show control, mechanical, and electrical systems into Revit models
- Coordinate with engineering and technical disciplines to ensure clash-free integration
- Support BIM/IPD workflows and collaborative model-sharing environments
- Participate in model reviews and cross-disciplinary coordination meetings
- Produce coordinated drawing packages directly from Revit models
- Develop detailed construction documentation aligned with company standards
- Manage evolving design inputs and incomplete data while maintaining model accuracy
- Track progress against schedules and project milestones
- Partner with Senior and Principal Designers to define scope and modeling strategy
- Support development of BIM execution plans and modeling standards
- Coordinate with vendors and contractors as required
- May support field assignments or installation coordination when necessary
- 8+ years of professional experience in Revit modeling within entertainment, architecture, themed environments, or related industries
- Advanced proficiency in Revit (modeling, documentation, family creation, coordination)
- Strong experience working in hybrid AutoCAD/Revit environments
- Experience integrating A/V, lighting, show control, and MEP systems within BIM models
- Proven experience producing coordinated construction documents from Revit
- Experience supporting BIM/IPD workflows
- Strong spatial reasoning and 3D coordination skills
- Ability to manage large datasets and evolving design inputs
- Excellent communication skills and proactive work style
- Willingness to travel for extended periods when required
- Themed entertainment, immersive exhibit, or attraction experience
- Experience with Rhino-to-Revit workflows
- Experience coordinating mechanical and electrical systems in entertainment environments
- Experience supervising vendors or coordinating with field contractors
- Experience modeling complex rockwork or organic scenic elements within Revit
- Familiarity with large-scale experiential or attraction installations
Estimated Min Rate: $84.00
Estimated Max Rate: $120.00
What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
- Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
- Health Savings Account (HSA) (for employees working 20+ hours per week)
- Life & Disability Insurance (for employees working 20+ hours per week)
- MetLife Voluntary Benefits
- Employee Assistance Program (EAP)
- 401K Retirement Savings Plan
- Direct Deposit & weekly epayroll
- Referral Bonus Programs
- Certification and training opportunities
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice:
HYBRID NORTH CHICAGO IL
PAY: $60-$65/hr
REQUIRED:
- PhD or Master's degree with extensive experience in Quantitative Systems Pharmacology or Systems Biology model development,
Proven scientific track record and practical experience in several of the following areas:
- Statistical modeling
- Modeling with differential equations
- Model-Informed Drug Development (MIDD)
- Quantitative Systems Pharmacology (QSP) models
- Scripting languages (R, Matlab, Python)
- Drug development
- Critical thinking and self-reflective
- Persistent and resilient
- Ability to connect unrelated concept and to generate original or unique ideas
- Fluency in English required, German would be a plus
Job Description:
- Pharmacometrics is concerned with the mathematical and statistical analyses and modeling of biological, pharmacological, and physiological data and processes. It quantifies the various aspects of the (desired and undesired) effects of drugs in the context of disease. The models are based on clinical data, and provide a basis for informing efficient drug development, regulatory decisions, and optimal treatment of patients.
Purpose:
- We are building comprehensive Model-Informed Drug Development (MIDD) capabilities in-house to create reusable platform models across our oncology portfolio. We seek a talented and motivated expert to develop advanced Quantitative Systems Pharmacology (QSP) models in oncology that enable Virtual Population simulations. You will act as a MIDD expert for oncology and integrate this knowledge into Clinical Pharmacology strategy for related development programs.
This means:
- Develop QSP platform models for multiple oncology mechanisms including:
- Immune checkpoint inhibitors (IO/ICI) across colorectal, lung, and ovarian cancers
- Antibody-drug conjugates across lung, ovarian, and colorectal cancers
- T-cell engagers and bispecifics/trispecifics in multiple myeloma
- CAR-T therapies in hematologic malignancies
- Create and optimize Virtual Populations to capture patient heterogeneity and support clinical trial design
- Implement new methods to enhance QSP-driven MIDD, including AI/machine learning augmentation for literature screening, model drafting, and virtual population optimization
- Deliver practical results that inform dose and regimen selection, optimal combinations, therapy duration, and study design for active development programs
- Work as part of a coordinated team under the oversight of a senior pharmacometrician within the PMx Oncology Group
DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.
You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.
At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.
Key Responsibilities
Enterprise Reporting (Hands-On Development)
- Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
- Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
- Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
- Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
- Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
- Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
- Support reporting scalability as our client grows (new factories, new business units, new product lines).
Enterprise Reporting Standards & Governance
- Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
- Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
- Review and approve reporting change requests, data model modifications, and access requests.
- Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
- Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.
Enterprise Data Architecture
- Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
- Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
- Build and govern the centralized semantic model that powers reporting across the company.
- Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
- Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.
Leadership & Collaboration
- Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
- Communicate complex architectural concepts in clear, business-friendly terms.
- Lead cross-functional initiatives that require unified data structures or scalable reporting.
- Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.
Ideal Candidate Profile
- Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
- Track record of establishing and enforcing enterprise reporting standards and governance.
- Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
- Able to operate as both an individual contributor and a strategic leader.
- Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
- Comfortable influencing architectural decisions and guiding technical execution.
- Strong command of foundational tools and languages such as:
- DAX
- Power Query / M
- SQL
- Fabric pipelines / ETL tooling
- Experience with automation and AI-assisted analytics workflows.
Head of GIA Investment Performance Measurement and Analytics
Investment Management
Full-Time
New York, NY, Boston, MA or Springfield, MA
The Opportunity
MassMutual Investment Management (IM) seeks a seasoned investment management and operations professional to lead the investment performance function for MassMutual’s General Investment Account (GIA). This role reports to the Head of Manager Oversight and will:
- Design, and oversee implementation of models, policies, and procedures for a best-in-class performance and attribution reporting function.
- Help drive strategy and execution of investment performance measurement, attribution, and reporting programs supporting MassMutual’s Board, CIO, and other key stakeholders.
- Help shape market commentary and attribution narratives for internal and external stakeholders, including affiliate managers and GPs.
- Complete the feedback loop for MassMutual Investment Management in the performance space by collaborating with teams supporting product profitability analysis and PMs managing ALM and capital allocation decisions.
The Team
The Manager Oversight team is part of IM’s Strategy and Governance organization, reporting to MassMutual’s CIO. The team oversees IM’s asset manager relationships and functions, including manager operational due diligence, investment mandate onboarding & lifecycle management, and investment performance. Adjacent teams handle business strategy and planning, vendor oversight, investment compliance, and investment reporting for MassMutual’s Board & Investment Committee.
The Impact and Key Responsibilities:
Lead MassMutual’s investment performance measurement, attribution, and reporting function for a $250B+ General Investment Account (GIA). In this role you will be on the starting line to help influence, design and implement a state-of-the-art performance measurement and attribution capability. This senior leadership role requires strategic planning, influence, executive visibility, and the opportunity to transform performance analytics and attribution capabilities for a prestigious insurance company.
- Evolve existing practices and refresh methodologies, assumptions, and models to introduce new and industry best practice approaches for presenting performance across products, asset classes, and instruments.
- Lead strategic platform rationalization and evaluate performance engines to enhance analytics.
- Provide technical expertise in portfolio management, finance, capital markets, and investment performance reporting, guiding decisions to align with market standards.
- Contribute to portfolio reporting and attribution by applying experience across asset classes and investment strategies, ensuring liability-driven investment strategies and ALM models are accurately derived and validated.
- Collaborate directly with portfolio managers and lead teams to achieve strategic alignment across functions, simplifying complex income and return objectives under liability constraints while maintaining precision and accuracy in reporting.
- Manage the evolution of the program to maximize total-portfolio view and coverage for GIA reporting, expanding capabilities important to investment team members.
- Help develop a long-term roadmap to unlock value and greater ROI for the Performance program, including performance monitoring as a compensating control for financial reporting.
- Help drive the development of reporting standards for leadership and Board materials, framing investment successes, market impacts, and risk-adjusted performance drivers.
- Help with the design of data integration between IBOR/ABOR systems and performance engines to optimize data validation, reporting efficiency, and portfolio transparency.
- Lead strategic initiatives to align performance reporting with insurance industry practices, NAIC classifications, and risk-based capital requirements, ensuring compliance and strategic flexibility.
- Serve as a trusted advisor to the CIO and Senior Leadership Team, influencing investment strategy communication and Board-level reporting.
The Minimum Qualifications
- Bachelor’s degree in STEM, Finance-Accounting, Actuarial Science, or related field.
- 10+ years in investment management with progressive experience focusing on performance measurement, attribution, and reporting.
- 5+ years in leading teams and/or investment strategy and decision-making for an asset owner, allocator or investment advisor, in a role focused on: investment performance, attribution and analysis; portfolio management; product management or research; portfolio strategy or securities research [investment selection].
- Experience with liability-driven investment strategies, including ALM frameworks, duration matching, and immunization techniques.
- Experience designing, building, and calibrating investment return, valuation, or risk models for capital allocation in multi-asset portfolios.
- Advanced Excel and quantitative modeling; familiarity with GIPS® standards and compliance; strong understanding of risk-adjusted return metrics (TWR, IRR, Brinson attribution, factor attribution).
- Ability to integrate cash flow projections and liability schedules into performance analytics; can source index and reported market yields or returns as benchmarks, model, select “best-fit,” and defend rationale in Q&A with investment professionals.
- Deep knowledge of fixed income, structured credit, private credit, and alternative investments; understanding of insurance asset management and regulatory frameworks; working knowledge of NAIC and statutory accounting preferred.
- Expertise in designing attribution models that incorporate liability benchmarks; ability to optimize portfolios for duration and convexity matching; strong leadership and stakeholder engagement across investment, actuarial, and risk teams.
- Proven ability to establish and maintain strong relationships with peers and key partners throughout the organization and in their external, professional networks.
Familiar with full spectrum of geographic and credit risk demographics: IG, HY, and Distressed; NA, EMEA, APAC; Developed or Emerging Markets.
Technical Skills Covering:
- Multi-Asset (total portfolio) Total-Return Presentation and Public Market Benchmark Selection
- Relative-Spread, Relative-Yield, and Relative-Market/Index Return Comps (Alts-Benchmarks)
- Bond-Factor Analytics (and to a lesser extent, Equity-Factors)
- Duration-Adjusted Return Modeling
- Portfolio Hedge Attribution: Global Asset-Country and FX Risk; Key-Rate Risk: Default Risk
The Ideal Qualifications
- Master’s degree in STEM, Finance, Quantitative Analytics, or MBA; CPA or actuarial credentials for ALM depth a plus.
- CFA, CIPM or equivalent designation strongly preferred; CAIA or FRM a plus.
- Deep familiarity with Global Investment Performance Standards (GIPS®); experience managing GIPS verification and composite construction for liability-driven portfolios.
- Proven ability to implement automation for performance and ALM reporting; experience with data governance and integration of liability projections into performance dashboards.
- Experience configuring, and testing platforms integrated across the investment ecosystem, such as Performance Engines (SS&C Advent Geneva/APX, Eagle Performance, Clearwater Analytics), Portfolio Management and IBOR Platforms (BlackRock Aladdin, SimCorp Dimension, Charles River IMS), ALM & LDI Tools (Bloomberg PORT, proprietary actuarial systems, Beacon), and Instrument Cashflow and CP-Credit Risk Modeling Services (Intex, Moody’s, S&P).
- Experience implementing BlackRock PBOR
Experience with majority of investments or instruments in: Gov & Corporate Debt, Bank Loans, PE Sponsor and Non-Sponsored Mid-Market Loans and Private Credit, Commercial & Residential Real Estate Debt, Consumer/Retail and Real Estate ABS, Structured ABF, Structured Credit, CLOs/CDOs, Municipal Bonds, Private LP’s, Direct-PE.
Technical Skills Covering:
- Private Equity & Equity-Pacing Models
- Cash-Weighted Returns (IRR and realized-CF holding-period yield)
- Capital-Multipliers (for closed & evergreen portfolios/private-alts strategies)
#LI-LC1
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
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This position is responsible for defining the architecture that translates Aerospace Transactional Part business processes into scalable SAP S/4HANA data models and Oracle OBIEE analytics solutions.
The successful candidate will possess a hybrid skill set, combining deep functional knowledge of supply chain operations with the technical proficiency to design data structures within an SAP S/4HANA environment.
Key Responsibilities: 1.
Analytics Design and Technical Validation Design the logical architecture for Oracle OBIEE dashboards, ensuring the semantic layer aligns with business logic and S/4HANA source data.
Perform technical validation of data models using SQL to verify that development outputs match functional requirements.
Collaborate with SAP Process Experts and Technical Developers to resolve data integrity issues related to inventory tracking, serial number management, and document flow.
2.
S/4HANA Functional and Data Architecture Analyze and map complex aerospace supply chain processes and transactional part lifecycles to analytics fabrics Lead the transition from legacy reporting models to S/4HANA architecture, utilizing modern data structures (e.g., CDS Views) to support various analytics.
Evaluate the impact of S/4HANA innovations on existing business processes, recommending architectural adjustments to optimize data accuracy and usability.
3.
Requirements Engineering and SCOR Integration Translate functional business requirements into detailed technical specifications for SAP HANA database modeling and Oracle OBIEE metadata repositories.
Implement the SCOR (Supply Chain Operations Reference) framework to standardize performance metrics, ensuring that system data accurately reflects Level 1-3 KPIs (e.g., Reliability, Responsiveness, Cost).
Conduct gap analysis between as-is functional processes and to-be system logic, providing technical solutions to resolve discrepancies in data granularity and lineage.
Required Qualifications Education and Experience: Bachelor's degree in information systems, Supply Chain Management, Computer Science, or a related field.
Minimum of 10 years of experience in a Techno-Functional role bridging business analysis and SAP system architecture.
Demonstrated experience with SAP S/4HANA implementations, specifically within Logistics and Supply Chain modules.
Technical Skills: SAP S/4HANA: Strong understanding of S/4HANA data architecture and the differences between ECC and S/4HANA data models.
Data Analysis: Proficiency in SQL for data validation and analysis.
Ability to query databases to verify business logic.
Analytics Architecture: Experience designing reporting solutions and data models for enterprise analytics platforms, preferably Oracle OBIEE.
Functional Competencies: Aerospace Industry: Knowledge of transactional part business, including traceability, configuration management, and compliance requirements.
Supply Chain Strategy: Proficiency with the SCOR model and its application in enterprise resource planning (ERP) systems.
Thanks and Regards, Team Lead Mahesh Kumar Direct No: 949-201-1313 Yochana Solutions INC Windsor, Ontario- Canada Farmington hills, MI-48335- USA USA | CANADA I Mexico | INDIA W: Note: This is not an unsolicited mail.
If you are not interested in receiving our e-mails then please reply with subject line Remove OBIEE RPD modeling, designing start/snowflake schemas
*** New and Existing Product Elevator programs.
The position plays a key support role to ensure that these programs deliver a complete elevator system that meets customer, functional, code, and safety requirements.
Position Responsibilities: Primary responsibility is to evaluate and report the impact of changes, whether from a part or sub-system, to the elevator system envelopes.
Engineer may need to develop dimensional studies (including 3D modeling), performance studies, cost benefit analysis, prototyping, test plans, or code requirement studies of all affected sub-system(s).
System engineer should also be able to collect elevator requirements from all the stakeholders, and then de-compose these into requirements for the specific sub-systems.
This position will interface with multiple value streams such as supply chain, field operations, Marketing, factory support, and others to ensure that requirements are met.
The candidate should have a strong mechanical engineering background with complex system level integration experience.
Candidate will participate in product support activities where prior experience with root cause analysis, priority assessment, DFMEA, DFM, and other engineering tools is desired.
Position will also require implementation of Engineering Change notices, so a strong background/experience of engineering implementation process is desired.
Experience/Skills: Sound mechanical engineering background (mechanical and system modeling and design, component modeling and design) Development of Performance Envelopes (Duty Tables).
Generation of 2D layouts and studies (e.g.
AutoCAD).
Strong 3D modeling skills and ability to analyze interfaces and interferences.
Strong communications and leadership skills.
Working knowledge of Microsoft Office software.
Engineering change implementation process experience.
Experience with Root cause analysis, DFMEA, and other investigative ENG tools.
Requirements Management with team and stakeholders Design documentation with Mathcad desirable.
Previous Elevator Experience strongly preferred.
Education: BS Degree in mechanical engineering degree with 6+ years’ experience MS degree with 4+ years’ experience Position Responsibilities: Primary responsibility is to evaluate and report the impact of changes, whether from a part or sub-system, to the elevator system envelopes.
Engineer may need to develop dimensional studies (including 3D modeling), performance studies, cost benefit analysis, prototyping, test plans, or code requirement studies of all affected sub-system(s).
System engineer should also be able to collect elevator requirements from all the stakeholders, and then de-compose these into requirements for the specific sub-systems.
This position will interface with multiple value streams such as supply chain, field operations, Marketing, factory support, and others to ensure that requirements are met.
The candidate should have a strong mechanical engineering background with complex system level integration experience.
Candidate will participate in product support activities where prior experience with root cause analysis, priority assessment, DFMEA, DFM, and other engineering tools is desired.
Position will also require implementation of Engineering Change notices, so a strong background/experience of engineering implementation process is desired.
Experience/Skills: Sound mechanical engineering background (mechanical and system modeling and design, component modeling and design) Development of Performance Envelopes (Duty Tables).
Generation of 2D layouts and studies (e.g.
AutoCAD).
Strong 3D modeling skills and ability to analyze interfaces and interferences.
Strong communications and leadership skills.
Working knowledge of Microsoft Office software.
Engineering change implementation process experience.
Experience with Root cause analysis, DFMEA, and other investigative ENG tools.
Requirements Management with team and stakeholders Design documentation with Mathcad desirable.
Previous Elevator Experience strongly preferred.
Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas,Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem
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.
Consulting - Tech Consulting - FinTech – AI Finance - Senior Manager
Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.
The opportunity
The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.
Your key responsibilities
The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including:
Leading the design and delivery of system architecture solutions in collaboration with technical teams.
Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.
Skills and attributes for success
Proven ability to manage and deliver complex solutions.
Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.
Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications
Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies
Leading the design and implementation of an extensible common information model for the FDL Blueprint
Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps
Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security
Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL
Supporting the establishment and maintenance of a robust data governance framework for the FDL
Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications
Ability to travel as required for client engagements and project needs.
To qualify for the role, you must have
Bachelor\'s degree in Finance, Accounting, Business, Computer Science
Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:
Strategic financial planning, budgeting, and forecasting processes
Financial modeling and scenario analysis
Variance analysis and management reporting
Cross-functional collaboration with business stakeholders
Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:
Anaplan (Certified Model Builder preferred)
Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)
Oracle Hyperion
OneStream, Tagetik, or similar platforms
Solid understanding of financial data architecture and governance, including:
Financial data modeling and dimensional design
Chart of accounts structuring and hierarchy management
Data quality standards and reconciliation processes
Master data management for finance applications
Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)
Excellent communication, collaboration, and problem-solving skills
Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies
Strong business skills including relationship management, commercial awareness, and communication.
Strong analytical and problem solving skills as well as excellent oral and written communication skills
A willingness to travel to meet client needs.
Ideally, you’ll also have
Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred
A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.
Exceptional interpersonal skills to foster team collaboration and client trust.
A proactive approach to problem-solving and decision-making.
Experience in leading diverse teams in dynamic environments.
What we look for
We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.
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 $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. 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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