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*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*
Summary
As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.
This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.
You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.
Responsibilities include but are not limited to:
AI Solution Development & Deployment
Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.
Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).
Operational Model Support & Optimization
Monitor model performance, data drift, and operational KPIs.
Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.
Establish measurement frameworks to quantify operational impact of deployed solutions.
Data Engineering & Analytical Execution
Transform structured, semi-structured, and unstructured data into actionable features and insights.
Perform exploratory analysis and visualization to identify operational improvement opportunities.
Collaborate with engineering teams to productionize data solutions.
Stakeholder Engagement & Explainability
Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.
Communicate complex AI methodologies and results clearly to technical and non-technical audiences.
Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.
Required Qualifications
Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.
Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.
Experience building operationalized data science solutions (not just prototypes).
Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.
Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.
Strong ethical judgment with a commitment to responsible and unbiased AI development.
Preferred Qualifications
2+ years of hands-on experience in data science, applied AI, or machine learning.
Experience supporting AI solutions in operational or production environments.
Familiarity with MLOps practices, model governance frameworks, and automation tooling.
Experience working in regulated industries (financial services preferred).
#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:
$72,000.00 - $134,000.00Pay 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.
Purpose
As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.
This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.
You’ll Be Successful With
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
- 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
- Proven track record of moving models from development into production which deliver measurable impact to the business.
- Expert proficiency in Python and SQL. Comfortable with version control.
- Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
- Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
- Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
- You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
- The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
- Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
- Strong intellectual curiosity with a bias toward action and continuous improvement.
- Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.
Your Day Consists Of
- Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
- Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
- Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
- Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
- Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
- Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
- Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
- Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
- Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
- Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
- Be compliant with all appropriate privacy and security protocols.
Working Conditions (travel, hours, environment)
- Limited travel required including air and car travel
- While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.
Physical/Sensory Requirements
Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.
Benefits & Rewards
- Bonus opportunities at every level
- Non-traditional retail hours (we close at 7p!)
- Career advancement opportunities
- Relocation opportunities across the country
- 401k with discretionary company match
- Employee Stock Purchase Plan
- Referral Bonus Program
- 80 hrs. annualized paid vacation (full-time associates)
- 4 paid holidays per year (full-time hourly store associates only)
- 1 paid personal holiday of associate’s choice and Volunteer Time Off program
- Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)
Equal Employment Opportunity
Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.
This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.
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
The Virtual Design and Construction (VDC) manager is a fast-paced position overseeing the planning and coordination of a variety of projects. The VDC Manager will lead all aspects of Harvey Cleary’s VDC construction initiatives across the company, ensuring projects are taken from the design phase and digitally modeled to solve coordination issues before the start of field installation.
This role will function as a subject matter expert for VDC processes and technology innovation platforms, ensuring that building Information modeling (BIM) coordination is utilized throughout the Harvey Cleary organization. This individual embodies Harvey Cleary’s values of integrity, quality, and innovation in their work and interactions with team members and project stakeholders. The VDC Manager will report to the Director of Technology while supporting various operations teams in the successful VDC delivery of projects.
Supervisory Responsibilities
- In collaboration with the Director of Technology, recruit, interview, hire, and train new staff in the VDC department.
- Oversee the daily workflow of the department.
- Provide constructive and timely performance evaluations of VDC team members.
Duties and Responsibilities
- Manage deployment of VDC initiatives and VDC technology platforms.
- Train, educate, and mentor VDC engineers as well as project staff on current BIM/VDC processes and services.
- Lead in the compliance, development, and refinement of the Harvey Cleary BIM Execution Plan (BEP) and adhere to the Harvey Cleary BIM standards and refinement of future iterations.
- Create Building Information Models (BIM) of varying Levels of Development (LOD) and dimensions (3/4/5/6D) to meet project requirements.
- Identify, champion, and implement innovative improvements in model-based processes and technologies that improve project delivery.
- Perform clash detection of federated models and lead coordination efforts with project teams, clients, consultants, subcontractors, manufacturers, etc.
- Create 4D and physical models to inform construction planning, site logistics, constructability reviews, lift plans, safety, quality control/assurance, etc.
- Support preconstruction teams in the development of 3D quantity takeoffs.
- Provide technical expertise to assist business development and marketing teams in pursuit efforts, including interview preparation and assistance with site logistics, physical models and 4D site logistics models.
- Participate in weekly team meetings to review the BIM coordination process, as needed, in collaboration with project teams.
- Collaborate with project teams to ensure the VDC team is producing construction documents that are efficient, accurate, and appropriate for the team’s use in their coordination efforts.
- Mentor and guide the VDC department staff to further the value of the department and it’s day to day responsibilities.
- Other duties as assigned.
Qualifications:
- Bachelor’s degree in architecture, engineering, construction management, or a related field, or equivalent training/experience.
- 5+ years AEC industry experience in VDC role, preferably in the construction industry.
- Strong knowledge of MEP industry, CAD modeling, construction scheduling, and time managment
- Proven leadership qualities from previous project roles.
- Excellent written and oral communication skills and ability to interact effectively with all levels of employees.
- Must be a motivated self-starter and the ability to handle multiple tasks.
- Ability to function as BIM/VDC project manager on assigned projects.
- Ability to develop and implement BIM/VDC processes on assigned projects.
- Ability to implement BIM/VDC field construction processes.
- Ability to manage multiple projects and priorities simultaneously.
- Ability to work well both in a team environment and on individual assignments.
- Ability to work with autonomy, think critically, and use professional judgment.
- Proficiency with modeling, CAD, and coordination software’s (Revit, Navisworks, AutoCAD, SketchUp, Procore, etc.).
- Proven experience leading BIM coordination meetings with a variety of stakeholders.
- Proficiency reading and interpreting construction drawings, specifications, and schedules.
- Proficiency with Microsoft 365 and various video conferencing platforms (Teams, Zoom, Webex, etc.).
Physical Requirements
- Prolonged periods of sitting and working on a computer.
- Willingness to communicate.
- May be required to lift, carry, and move up to 15 lbs.
Prospective employees must be able to pass a criminal background check and random drug screens.
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.
Our client is a well-established specialty contractor that supports commercial construction projects from the front end through project delivery. Their team is heavily involved in design support, BIM coordination, drafting, engineering collaboration, and material planning to ensure accurate, fully coordinated drawing packages that translate cleanly into the field. As their project pipeline continues to grow, they’re looking to add an experienced BIM Technician / BIM Coordinator to support active work and help drive coordination efforts across multiple jobs.
Position Overview
The Axel Group is seeking a detail-oriented, technically strong BIM Technician / BIM Coordinator with hands-on experience in Revit, Navisworks, drafting, and model coordination to support the development of fully coordinated shop drawing and BIM packages.
This role will work closely with the project management team to create, update, and manage models used for coordination, engineering, and submittal purposes. The ideal candidate is organized, proactive, and comfortable working in a fast-paced environment where accuracy, communication, and the ability to manage multiple projects are critical. This person should be confident in BIM modeling, clash detection, drafting, Revit family creation, and coordinating with both internal teams and third-party engineers.
Key Responsibilities
- Develop and deliver fully coordinated shop drawing packages in partnership with the project management team.
- Create, modify, and maintain BIM models to support project coordination, drafting, and design efforts.
- Perform BIM modeling, clash detection, drafting, and design using Revit and Navisworks.
- Manage and coordinate Revit models across multiple active projects to ensure consistency, quality, and constructability.
- Create, modify, and update Revit families as needed to support project-specific requirements.
- Attend project-related coordination meetings and contribute to model review, issue resolution, and design alignment.
- Work closely with internal managers and team members to establish and maintain drafting standards, workflows, and best practices.
- Maintain and update drafting software/programs to support team efficiency and project needs.
- Review work for quality, accuracy, and adherence to project standards.
- Coordinate with third-party engineers to help complete fully engineered submittal packages.
- Support quantity extraction and 4D scheduling efforts through Navisworks where applicable.
- Adapt, revise, and work within files created by others while maintaining model integrity and organization.
- Manage multiple projects simultaneously while meeting deadlines and maintaining attention to detail.
- Perform additional related coordination, drafting, and BIM support duties as needed.
Skills and Qualifications
- 2+ years of hands-on experience using Revit in a drafting, BIM, or coordination capacity.
- Strong working knowledge of Navisworks and Revit, including modeling, clash detection, and coordination workflows.
- Experience with 3D model quantity extraction and 4D scheduling using Navisworks.
- Ability to read and interpret construction drawings, details, and specifications.
- Proficient with Microsoft Office, Bluebeam, Revit, and related drafting/BIM tools.
- Ability to modify, update, and work within files created by other team members or outside parties.
- Strong organizational skills with excellent attention to detail and follow-through.
- Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
- Strong verbal and written communication skills with the ability to work effectively across teams.
- Professional, team-oriented approach with solid interpersonal and customer service skills.
- Associate’s or Bachelor’s degree in Engineering, Architecture, or a related discipline preferred.
Why Join Us?
- Join a team that plays a key role in delivering coordinated, buildable drawing packages that directly support successful project execution.
- Work on meaningful commercial projects where BIM, drafting accuracy, and coordination are highly valued.
- Be part of a collaborative environment where project management, engineering, and drafting teams work closely together.
- Opportunity to grow within a fast-moving organization that values technical ability, accountability, and quality work.
- High-impact role with visibility across multiple projects and involvement in coordination from design through submittal.
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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Job Description
This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications.
Job Responsibilities
1. Research and Innovation:Conduct cutting-edge research in AI, machine learning, and multimodal learning, with a focus on developing Large Language Models (LLMs) that process and generate multimodal data (text, audio, video, images).Explore and implement new algorithms and methodologies to enhance the performance of LLMs in various real-world applications.
2. Model Development and Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments.
3. Collaboration and Industry Partnerships:Collaborate closely with industry partners to align research with practical applications, ensuring that developed models and solutions address real-world needs.Participate in cross-functional teams to apply research findings to industry-related projects.
4. Publishing and Dissemination:Prepare and publish high-quality research papers in top-tier journals and present findings at leading academic conferences.Contribute to technical reports and documentation for both academic and industry audiences.
5. Mentorship and Lab Contributions:Mentor graduate and undergraduate students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant proposals and reports.
Minimum Qualification
Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language processing), machine learning, or data science.
Preferred Qualifications
Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3, Gemma, Mistral AI, and others.
Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques.
Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries.
Research Excellence: Proven track record of publications in high-impact journals and conferences in relevant fields.
Collaborative Mindset: Ability to work effectively in a multidisciplinary team, with strong communication and leadership skills.
Department
Institute for Simulation and Training (IST) - EG OperationsWork Schedule
Monday to Friday; 8:00 AM to 5:00 PMType of Appointment
Fixed Term (Fixed Term)Expected Salary
$57,000.00 to NegotiableEqual Employment Opportunity Statement:
The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement.
The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request.
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