Elaboration Likelihood Model Jobs in Usa

660 Julian St.

Denver, CO 80204

(3

4th and 5th Grade Head Teacher (English)

Position dates:  August-December 2026 (approx.) 

Position type: Seasonal

Status: Non-exempt

Reports to:  Mariella Robledo

Contact:

Escuela de Guadalupe is an innovative Catholic, dual-language PK-8 school in Denver, CO. It has been recognized locally and nationally for its academic excellence and for being financially accessible to all families.

We provide an academically excellent, Catholic education in English and Spanish to cultivate the next generation of community leaders.

Working at Escuela de Guadalupe includes many different responsibilities to make a small, non-tuition driven school run effectively.  As a close-knit community, we all pitch in to make this a great place to work and learn.  Therefore, this description is not intended to be all- inclusive. Specific areas of responsibilities include but are not limited to the following:

• Fully implement the components of dual-language instruction and create thematic units guided by an essential question for all content areas
• Teaching will be in English)
• Define enduring concepts, knowledge, and measurable outcomes for each  unit that are shared in a syllabus with families and students at the beginning of the unit and evaluated at the end of the unit
• Use instructional strategies that identify student learning objectives for each lesson and actively incorporate learning strategy, modeling, and instruction in every lesson
• Respect classroom-specific language model
• Carefully plan and deliver lessons that incorporate diverse perspectives, history and literature from around the world.
• Actively support the evaluation plan across all academic areas, including formative and summative evaluation to assure maximum student progress.
• Extend classroom learning to well designed daily homework which is actively applied to the classroom learning the following day.
• Collaborate and plan with a teammate, teaching assistant, fellow teachers, principal, assistant principal
• Carefully plan units and daily instruction to maximize instructional time during the day
• Create a positive classroom environment built on intellectual rigor, accountability, success and high expectations for student achievement, risk-taking, goal-setting, actions and responsibility.
• Maintain close communication with families
• Faculty are expected to abide by the school calendar, arrive by 7:45 and work until 4:30, with a break for lunch and planning
• Support the cultural, spiritual and academic goals of the school by modeling compassion, love and care for the children at all times.
• Have the patience and positive attitude to be sure that every student has an academically rich experience and fully develops their cognitive and language abilities.
• Contribute to an environment of enthusiasm and dedication.
• Truly believe that every child, without exception, can excel.

• Morning and Afternoon Supervision
• Attend weekly PLC meetings
• Attend all Professional Development days on the school calendar
• Participate and collaborate in school events which may occur outside of school hours
• Willing and able to substitute in classes or supervision in the event of faculty/staff absence.

• Carry out the mission and goals of the school
• Build positive compassionate professional relationships and communication with other employees, students, and families in the school 
• Support the events that build community
• Actively participate in ongoing dialogue about liberating education that works to change the status quo of the larger community
• Incorporate themes of social justice within the classroom instruction and how groups of people working together can create positive social change
• Empower students with a strong knowledge base and language skills to debate and challenge social injustices and current events
• Uses excellent communication and interpersonal skills
• Approaches responsibilities and challenges with a creative and energetic attitude
• Possesses strong moral values and internal discipline

• Model language acquisition, language nuances, vocabulary usage, and grammatical fluency for students.
• Value the integrity of both Spanish and English as tools for reasoning, problem-solving, communication and intellect.  
• Model a respect for cultural and linguistic diversity
• Respect that all employees, students and families are at different levels of language learning

• Apply knowledge of the Catholic faith to guide students in their study of Catholic religion and how they apply their faith to their decisions and actions in school and in the community.
• Teach and model how Catholic virtues play a role in bringing peace and justice to ourselves and others.
• Incorporate the study of Catholic religion, liturgy, prayer, and song in daily rituals and religious education
• Prepare the students for weekly mass according to the mass calendar 
• Be willing to take classes/trainings provided by the Archdiocese to be able to teach religion

• Daily rate of $223.30
• Professional development including staff development, conferences, specialized training and education

• Small staff and tight knit community 
• Direct contact with supervisors and families regularly
• Community that respects both English and Spanish and the different levels of proficiency each employee, family member, or student may have
• Opportunity for adults to enhance our own second language skills within a dual language environment
• Environment in which one can live and continue to enhance their faith
• Small class size and low student to teacher ratio

To apply or for more information please go to  

PI16424e9d615a-38

Staff Data Scientist – Sales Analytics

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.

About the Role

As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.

Key Responsibilities

• Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
• Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
• Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
• Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
• Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
• Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.

About You

• Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
• Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
• Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
• Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
• Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

About Us:

At Biz2Credit, we are looking for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward.

As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible.

But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work.

So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit.

About the Role

Biz2Credit is launching a new small-business credit card, and we are hiring a Director Fraud Risk to build and scale the risk engine that powers the product. This role sits within the Risk organization and focuses on designing and executing the fraud and credit strategies required to safely grow a new card portfolio.

You will own fraud and credit risk strategy across the full lifecycle, partner with Data Science on model development, work with product and engineering to implement rules and logic, and collaborate with vendors who support fraud detection, identity verification, and credit decisioning. This is a hands-on, analytics-driven role for someone who has built or scaled card risk systems before.

Key Responsibilities

Fraud Risk Strategy & Analytics

• Develop and manage fraud strategies across the full credit card lifecycle: KYC, KYB, onboarding, transaction monitoring, disputes, and chargebacks
• Build and optimize fraud rules, signals, and decisioning logic
• Partner with Data Science to develop or enhance fraud models
• Monitor fraud KPIs, emerging patterns, and loss trends to adjust strategy
• Work with fraud vendors and platforms to implement rules, workflows, and detection capabilities

Credit Risk Strategy & Analytics

• Own credit line assignment, credit line increases (CLI), credit line decreases (CLD), and ongoing credit monitoring
• Develop and refine credit risk segmentation, cutoffs, and exposure strategies
• Partner with Data Science online assignment models and credit risk models
• Build dashboards and analytics to track credit performance, delinquencies, and portfolio trends
• Continuously optimize credit policies to balance growth and risk

Card Program Buildout & Scaling

• Contribute to building the fraud and credit risk foundation for a new credit card program
• Support scaling of the portfolio through iterative strategy, analytics, and model improvements
• Ensure risk systems, rules, and logic are implemented correctly across product, engineering, and vendor platforms

Cross‑Functional Collaboration

• Work closely with product, engineering, operations, and external vendors to launch and scale long duration programs
• Translate risk strategy into technical requirements for implementation
• Partner with compliance teams as needed; deep expertise not required, but familiarity with Reg Z, Reg B, FCRA, and UDAAP is helpful

Qualifications

• 5–10+ years of experience in credit card fraud risk, credit risk, risk analytics, or risk modeling
• Hands‑on experience with fraud lifecycle management: KYC, KYB, onboarding, transaction monitoring, disputes, chargebacks
• Experience with credit line strategy: limit assignment, CLI, CLD, and credit monitoring
• Strong analytics background; proficiency in SQL required, Python preferred
• Experience working with fraud and/or credit risk vendors and platforms (e.g., decision engines, fraud tools, KYC/KYB providers)
• Experience building or scaling risk strategies for a credit card program
• Ability to work cross functionally with product, engineering, data science, and vendors
• Familiarity with compliance requirements for credit cards; ability to partner with compliance teams

Who Thrives in This Role

• Someone who has built or scaled a credit card risk engine
• A fraud + credit strategist who is equally comfortable with rules, analytics, and models
• A hands-on operator who can design strategy and also dig into SQL
• Someone who enjoys cross-functional execution and long-term program building
• A risk expert who wants to shape the foundation of a new card product

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met. The Product Manager’s job also includes ensuring that the product supports the company’s overall strategy and goals.

This role supports an eCommerce fulfillment environment that manages pickup, third-party delivery (Instacart and DoorDash), and operations. The team is building a platform focused on order submission, selection, and routing, with an emphasis on operational reporting, process optimization, and demand forecasting.

About the Role

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met.

Responsibilities

• Manage all technical aspects of product through product lifecycle
• Work directly and indirectly with business stakeholders, vendors and third parties to ensure execution of deliverables
• Create, maintain and communicate product catalog and technology roadmaps, including near-term delivery, to engage stakeholders across the organization
• Identify, measure and improve key product catalog metrics to enhance the customer experience, and create a compelling, relevant product vision using web metrics, customer insights, feedback, research and internal operational metrics
• Elicit, define and analyze medium to complex requirements in various formats ensuring they are testable, measurable and traceable
• Set criteria for minimum viable product to increase the speed/frequency with which enhancements and new capabilities are delivered
• Lead the appropriate teams to refine, prioritize and manage requirements using various tools (e.g., templates, team backlogs, requirements management or agile task management applications)
• Lead requirement walk-throughs with key stakeholders using various methods (e.g., team demos, workshops, sprint planning and backlog refinement sessions)
• Identify and estimate anticipated work efforts based on priority using requirement work plans, program increment (PI) planning, and sprint planning
• Define and resolve dependencies, issues and risks and identify impacted areas through team collaboration
• Break down a medium to complex vision into smaller projects, initiatives or features

Qualifications

Skills: Must-Have

• Product strategy & prioritization
• Data platform fundamentals
• ML literacy
• Stakeholder communication
• Designing for expert users without alienating new ones
• Clear documentation and onboarding flows
• Understanding user workflows—not just APIs

Strong Differentiators

• MLOps understanding
• Experimentation and metrics fluency
• Responsible AI leadership
• Platform UX thinking
• Stakeholder Management

Required Skills

• Align business leaders, engineers, data scientists, legal/compliance, and ops
• Translate technical constraints into business-relevant language
• Manage expectations around ML uncertainty and iteration

Preferred Skills

• Data Concepts You Should Be Fluent In
• Data types: structured, semi-structured, unstructured
• Data pipelines (batch vs. streaming)
• Data quality dimensions: accuracy, completeness, timeliness
• Data lineage and observability
• Metadata, schemas, and versioning
• Platform Thinking
• APIs, SDKs, and self-service capabilities
• Multi-tenant vs. single-tenant design
• Performance, scalability, and cost tradeoffs
• Internal vs. external (customer-facing) platforms
• Machine Learning Fundamentals Every PM Should Know
• Supervised vs. unsupervised learning
• Training vs. inference
• Features, labels, and training data
• Model evaluation metrics (precision, recall, AUC, RMSE, etc.)
• Overfitting vs. generalization
• ML Product Realities
• ML outputs are probabilistic, not deterministic
• Model performance degrades over time (data drift, concept drift)
• Improving models often requires better data, not better algorithms
• ML development is experimental and iterative
• Areas that must be understood
• Model training pipelines
• Model deployment patterns (batch, real-time, edge)
• Model monitoring and retraining
• Versioning of models and data
• Rollbacks and experimentation (A/B tests, canary releases)

Digital Product Manager – Personalization Intelligence

BJ’s Wholesale Club is seeking a Product Manager – Personalization Intelligence to lead the next evolution of our data-driven personalization strategy. This is a high-impact transformation role responsible for scaling intelligent, model-driven personalization across all member touchpoints — including site, app, email, push, SMS, and emerging channels.

You will define and drive the roadmap that powers how millions of members experience BJ’s — delivering measurable incremental revenue, stronger loyalty, and deeper engagement through advanced personalization capabilities.

This role sits at the intersection of product, data science, engineering, marketing, and digital — translating business strategy into scalable machine learning–powered solutions.

What You’ll Own

Personalization Strategy & Roadmap

• Define and execute the product roadmap for Personalization Intelligence across all customer touchpoints.
• Drive clarity in business goals, measurable outcomes, and prioritization tied to incremental revenue and engagement.
• Lead the transformation from campaign-based targeting to intelligent, model-driven personalization at scale.

ML-Powered Personalization Capabilities

• Partner closely with Data Science to design, build, and scale: Recommendation systems, Propensity and propensity-to-buy models, Predictive engagement and churn models
• Own the end-to-end ML model lifecycle from ideation and business case through training, testing, deployment, and ongoing optimization
• Translate model outputs into actionable, testable personalization strategies.

Experimentation & Measurement

• Define clear hypotheses and testing frameworks to measure incremental lift.
• Collaborate with analytics to establish robust tracking, experimentation design, and performance reporting.
• Monitor and interpret key ML performance metrics and business KPIs.
• Own and deliver the product roadmap for Personalization Intelligence, driving clarity in goal definition, accountability for business outcomes, and focused execution.

Qualifications:

• 4+ years of Product Management experience
• Demonstrated experience delivering personalization, recommendation systems, Propensity/propensity-to-buy models, and other predictive models
• Retail or e-commerce experience strongly preferred
• Strong communication skills and experience working with Stakeholders (data science, engineering, business)
• Strong product discovery, prioritization, and stakeholder management skills

The Director of Workforce Planning reports directly to the CPO and is responsible for leading strategic workforce planning initiatives that align hiring strategies with organizational growth objectives. This role partners closely with executive leadership, talent acquisition, HR business partners, finance, procurement, and operations to forecast workforce needs, develop hiring capacity models, optimize recruiting resource allocation, and ensure proactive talent readiness for both permanent and contingent workforce demands.

Essential Functions:

• Lead enterprise workforce planning cycles, including quarterly and annual workforce forecasting.
• Partner closely with operations, talent acquisition, and finance to translate contractual and client demands into clear staffing, budget, and operational decisions.
• Forecast short- and long-term talent needs based on business growth and contract awards.
• Identify critical skill gaps and partner with HR to create mitigation plans, including reskilling, upskilling, and succession planning.
• Utilize workforce analytics, labor market trends, and predictive modeling to inform staffing strategies.
• Provide actionable insights and dashboards to senior leadership for decision-making.
• Monitor and report on workforce metrics, including headcount, attrition, and capacity planning.
• Ensure workforce planning practices comply with federal regulations, security clearance requirements, and defense industry standards.
• Partner closely with business leaders and talent acquisition to develop contingency plans for workforce disruptions and critical skill shortages.
• Drive adoption of workforce planning tools and systems to enhance forecasting accuracy and efficiency.
• Continuously improve processes to support agile workforce planning in a dynamic defense environment.
• Evolve WFM tools, processes, and planning cadences, driving improvements in forecast accuracy, model quality, and reporting standards
• Build strong cross-functional relationships and act as a trusted partner who brings clarity, insight, and strategic thinking to complex operational problems
• Develop hiring demand forecasts, scenario modeling, and capacity planning frameworks.
• Identify gaps in internal recruiting capacity and recommend solutions including contracting or external agency utilization.
• Lead strategy in selection and governance of external staffing agencies and contract recruiting partners as needed.
• Evaluate agency performance metrics and ensure compliance with contracting requirements.
• Establish preferred vendor frameworks and agency engagement models.
• Support system enhancements and reporting improvements within ATS, HRIS platforms, and other systems as they relate to workforce planning.
• Perform other duties as required.
• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies:

• Security Clearance- Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required.
• Strong analytical and data visualization skills (Excel, Power BI, Tableau, or similar tools).
• Strong communication skills with ability to present insights to senior leadership.
• Knowledge of ATS platforms (experience with Greenhouse highly preferred).
• Advanced analytics or modeling experience.
• Proven ability to design workforce capacity models and agency utilization strategies
• Advanced proficiency in Excel, workforce analytics tools, and ATS/HRIS reporting systems
• Demonstrated ability to influence senior stakeholders through data-driven insights
• Directs and provides expert knowledge in the strategic function of the department.
• Develops short and long-term people and organizational strategy in alignment with AEVEX goals and direction.
• Leads with impact & influence. Establishes credibility, effectively persuades and develops others, and achieves important objectives collaboratively.
• Identifies, recruits, and retains top-notch talent.
• Champions AEVEX’s culture and empowers employees to take responsibility for their jobs and goals.
• Sets performance standards and encourages employee engagement and results through delegation, continuous feedback, goal setting, and performance management.
• Maintains transparent communication. Appropriately communicates organization information through department meetings, one-on-one meetings, and appropriate email, and regular interpersonal communication.

Education / Certifications:

• Bachelor’s degree in Human Resources, Business, Finance, Analytics, or related field.

Experience:

• 10+ years of experience in Talent Acquisition, Workforce Planning, Recruiting Operations, or HR Analytics.
• Experience building capacity models and hiring forecasts.
• Experience working cross-functionally with HR/TA, Finance, operations, and business leaders.
• Experience in high-growth or large-scale hiring environments.
• Experience in workforce management software or capacity planning tools.
• Demonstrated experience negotiating staffing agency agreements and vendor contracts
• Strong experience partnering with external recruiting agencies and contingent workforce vendors
• Experience supporting both permanent and contingent workforce planning at scale preferred
• Experience working closely with Procurement and Legal on vendor governance preferred

Physical Requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Physical Requirements Constantly required to sit, and to reach to use computers and other office equipment Note: For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

About AEVEX

AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia.

AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees.

Equal Employment Opportunity:

AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

Position: Senior Semantic Engineer / Ontology Engineer

Location: East Hanover, NJ (Hybrid - 3x/week onsite)

Duration: 6 Months (extendable)

DESCRIPTION:

We are hiring a Senior Semantic Engineer / Ontology Engineer to lead the design of healthcare-grade ontologies and semantic layers that power trusted analytics, interoperable data products, and AI-ready knowledge systems. You will apply metrics-first semantic modeling and ontology engineering practices aligned to the principles such as clear semantics, reusable meaning, governance-by-design, and measurable business outcomes. You’ll work across RDF and property graph paradigms and Snowflake semantic layer.

Key Responsibilities:

• Design and evolve healthcare ontologies and semantic models to standardize meaning across domains (clinical, patient, provider, claims, access, quality, outcomes).

• Design data products that are AI-ready and leverage ontologies and semantic models

Build metrics-first semantic layers:

• Define canonical metric definitions, dimensions, hierarchies, and calculation rules.

• Ensure metrics are explainable, auditable, and consistently implemented across products and teams.

• Model knowledge in both RDF (RDFS/OWL) for formal semantics and interoperability.

• Property graphs for traversal-heavy use cases and relationship analytics.

Develop and maintain semantic artifacts:

• Concept schemes, entity models, vocabularies, mappings, and documentation.

• Alignment patterns between ontologies, data products, and downstream analytics/AI use cases.

Implement semantic integration patterns:

• Entity identity resolution, entity linking, terminology harmonization, and enrichment workflows.

Partner with platform teams to operationalize semantics in Snowflake:

• Enable semantic access patterns that support analytics and AI applications.

• Contribute to solutions that leverage Snowflake Cortex for semantic enrichment and assisted discovery (within established governance constraints).

Collaborate with governance and architecture stakeholders to embed:

• Versioning, stewardship workflows, quality checks, and change management for semantic assets.

• Guide best practices and mentor engineers/analysts on ontology engineering, graph modeling, and metrics-first design.

Required Qualifications

• 8+ years in semantic engineering, ontology engineering, knowledge graph development, or closely related roles.

• Demonstrated experience in healthcare data domains (payer/provider, clinical, claims, RWE, quality, outcomes, etc.).

• Strong hands-on ontology engineering experience: RDF, RDFS, OWL, SPARQL and/or graph query experience

• Ontology modularization, alignment, and lifecycle management

• Experience with property graph modeling (e.g., Neo4j-style patterns) and translating between RDF and property graph representations when needed.

• Proven delivery of a metrics-first approach:

• Canonical KPIs/metrics definitions, dimensional modeling alignment, semantic consistency across BI and data products.

• Experience working with modern cloud data platforms, especially Snowflake, and exposure to Snowflake Cortex for AI-enabled workflows.

• Strong stakeholder communication skills: able to translate clinical/business intent into precise semantic definitions and usable artifacts.

Preferred Qualifications

• Familiarity with healthcare interoperability and terminology standards (e.g., HL7/FHIR, SNOMED CT, LOINC, ICD-10) and how to map/align them to enterprise semantics.

• Experience with semantic tooling and practices, validation rules, ontology testing, and CI/CD for semantic assets.

• Experience deploying semantic context layers

Title

Sr. Principal Operations Research Analyst

Belong. Connect. Grow. with KBR!

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

Why Join Us?

• Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
• Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
• Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.

Key Responsibilities

KBR is seeking a Sr. Principal Operations Research Analyst to join a multi-disciplinary team consisting of operational military and intelligence subject matter experts (SMEs), operations research analysts, modelers, and software engineers who conduct modeling, simulation, and analysis (MS&A) of emerging concepts for the Defense Advanced Projects Research Agency (DARPA) using advanced MS&A techniques and tools. The selected candidate will:

• Lead or support the conduct of studies for senior-level military decision makers, technology developers, and acquisition professionals for use in CONOPS development, force structure design, resource allocation, and targeted technology insertion.
• Develop and execute an experiment design approach, identify key metrics for simulation output, analyze results, generate insights and information, and present findings to senior DoD leaders.
• Develop and/or refine an analytic pipeline; interact with third-party software developers to incorporate this analytic pipeline into the modeling & simulation (M&S) tool.
• Conduct pre- and post-simulation analyses as needed.
• Design, develop, implement, and maintain analytic dashboard prototypes for incorporation into the MS&A software suite.
• Be prepared to instantiate platform and system models, model behaviors, and model hierarchies in the designated M&S environment as required.
• Work independently with little direction or guidance except in the most complex of situations.

Work Environment

• Location: On-site
• Travel Requirements: Minimal 0-20%
• Working Hours: Standard

Qualifications

Required:

• Master’s Degree in Operations Research, Applied Mathematics, Data Science, or related STEM discipline with 10 years of relevant experience
• Strong knowledge of simulation analysis and experiment design & analysis techniques
• High level of proficiency in R, MATLAB, Python, JupyterLab and/or Jupyter Notebook
• Basic proficiency in a mission-level combat modeling & simulation framework such as AFSIM or NGTS

Desired

• PhD in Operations Research, Applied Mathematics, Data Science, or related STEM discipline with 15 years of relevant experience
• Deep knowledge of simulation analysis and experiment design & analysis techniques
• High level of proficiency a mission-level combat modeling & simulation framework such as AFSIM or NGTS
• Certified Analytics Professional (CAP) or equivalent certification

Scheduled Weekly Hours

40hrs

Basic Compensation

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.

Additional Compensation

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance.

Ready to Make a Difference?

If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.

KBR Benefits

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

R2120551

Role Summary

The Director/Sr Director, Enterprise Data, Analytics & Integrations owns the enterprise data and reporting strategy for a large, distributed retail footprint (~900 locations). This leader is accountable for modernizing and operating the end-to-end analytics ecosystem—from ingestion and integration through semantic modeling, governance, and executive reporting—while partnering deeply with business stakeholders to drive measurable outcomes (sales, margin, inventory productivity, labor efficiency, customer experience).

This role builds and scales a pragmatic operating model (often a BI/Analytics “Center of Excellence” approach) to ensure consistent metrics, trustworthy data, disciplined governance, and high adoption across the organization.

Key Responsibilities

Enterprise Data & Reporting Strategy

• Define and execute a multi-year enterprise data and reporting strategy aligned to corporate and retail operating priorities (store ops, merchandising, supply chain, finance, digital/eComm).
• Establish a single source of truth for KPIs and retail performance management (enterprise metric definitions, hierarchies, dimensional models, semantic layers).
• Build a roadmap for self-service analytics that balances empowerment with governance, standardization, and security (COE patterns, standards, training, adoption).

Retail Analytics Platform Ownership (Oracle Retail Insights + Power BI + Fabric)

• Lead the functional and technical ownership of Oracle Retail Insights as a core retail BI/warehouse capability, including data sourcing, transformations, and retail-ready reporting content.
• Own enterprise reporting and visualization strategy in Power BI, including dataset design, semantic models, performance tuning, governance, and release management.
• Drive the adoption and operationalization of Microsoft Fabric (OneLake/lakehouse patterns, ingestion, transformation, warehousing, real-time/stream needs where applicable) to modernize data workflows end-to-end.

Integrations & Data Movement (Oracle Katalist and broader ecosystem)

• Own integration strategy and execution to connect retail applications, legacy systems, and cloud platforms—ensuring scalable, supportable interfaces and high-quality data synchronization.
• Establish integration standards (API strategy, event vs. batch patterns, SLAs, monitoring/alerting, incident response) and ensure resilience for store-critical and enterprise-critical feeds.
• Partner with application owners and vendors to prioritize integration backlog and deliver at retail speed (testing discipline, cutover planning, rollout across 900 locations).

Data Governance, Quality, Security, and Compliance

• Stand up data governance practices: data ownership, stewardship, data quality rules, lineage, controlled metric definitions, and change control.
• Ensure appropriate security and privacy controls (role-based access, sensitivity labels where used, auditability), especially for customer/loyalty and employee-related data.

Business Partnership & Value Realization

• Serve as a strategic partner to senior business leaders—translating business goals into analytics products and integration capabilities.
• Build a cadence of value measurement (adoption, time-to-insight, KPI improvements, reduced manual effort) and communicate progress through executive-ready dashboards and narratives.
• Lead prioritization across competing demands with a clear “enterprise first” lens.

Vendor / MSP Management and Financial Stewardship

• Manage systems integrators/MSPs delivering data engineering, BI development, and integration services—ensuring quality, velocity, security, and cost control.
• Own budgets and vendor contracts; establish outcome-based SLAs, performance scorecards, and governance routines.

Required Qualifications

• 10+ years in enterprise data/analytics and/or integration leadership, with 5+ years managing teams and/or MSP/SI delivery.
• Demonstrated success building enterprise reporting strategy, KPI governance, and scalable analytics operating models (COE-style governance, enablement, and standards).
• Hands-on leadership experience with modern analytics stacks, including:
• Power BI (semantic modeling, governance, tenant/workspace standards, enterprise rollout)
• Microsoft Fabric (end-to-end analytics workflows across ingestion, transformation, warehousing/lakehouse, and reporting)
• Oracle Retail Insights (retail analytics/BI, data sourcing, retail hierarchies/metrics, operational reporting)
• Strong integration leadership: API-based integrations, ETL/ELT patterns, orchestration, monitoring, and SLAs.
• Proven ability to influence and partner across business and technology (merchandising, store ops, supply chain, finance, digital).
• Experience operating in a multi-site retail environment (hundreds of stores/locations strongly preferred).

Preferred Qualifications

• Experience with Oracle retail ecosystem components and retail data models (merchandise, inventory, pricing, promotions, loyalty/customer).
• Experience implementing or scaling a data governance program (catalog/lineage, DQ rules, stewardship).
• Familiarity with low-code or orchestration integration platforms (including Katalist capabilities where applicable).
• Background in product management for data/analytics (roadmaps, backlogs, adoption).

Leadership Attributes / Competencies

• Retail-first mindset: understands store operations realities, field adoption, and the need for reliable daily metrics.
• Operating model builder: establishes standards, governance, and enablement that scale across functions and geographies.
• Execution + strategy: can set a vision and deliver tangible value iteratively.
• Vendor leadership: drives outcomes with MSPs/SIs through disciplined governance and measurable performance.
• Data trust champion: relentlessly improves data quality, reliability, and clarity of definitions.

Position: BIM Manager – Data Centres

Salary: Up to $150,000 plus benefits

Location: Dallas, TX

This is an excellent opportunity to join a leading international technical engineering and construction partner operating across the UK, Ireland, North America and Mainland Europe.

The business focusses on design and build contracts for end user clients, specialising in the Food, Pharmaceutical, Logistics, Data Center and Advanced Manufacturing sectors.

They are committed to creating the spaces that enable the fourth industrial revolution, whilst ensuring a positive environmental and social legacy for communities across the world. The team work with valued clients and supply chain partners to create a simple agenda concentrated on getting things done. Above all, they focus on delivering first class projects, executed efficiently, without compromising on safety or quality.

About the role:

The BIM Manager leads Building Information Modeling (BIM) and digital coordination efforts for complex data center construction projects. This role is responsible for managing model development, multi-trade coordination, clash detection, and digital workflow integration to ensure efficient field execution, schedule adherence, and quality outcomes.

The BIM Manager plays a critical role in supporting prefabrication strategy, MEP coordination, and constructability planning in fast-paced, high-performance environments.

BIM Strategy & Execution

•Develop and implement project-specific BIM Execution Plans (BEP).

•Establish modeling standards and digital protocols.

•Ensure models meet LOD requirements at each project phase.

Multi-Trade Coordination (Critical in Data Centers)

•Lead weekly MEP coordination meetings.

•Manage clash detection using Navisworks or equivalent tools.

•Facilitate resolution of design conflicts between trades.

•Coordinate structural, architectural, and MEP systems.

Field & Construction Integration

•Support superintendent teams with model-based installation planning.

•Support prefabrication and modularization initiatives.

•Provide field teams with model-derived drawings and layouts.

Technology & Digital Tools

•Oversee use of:

oAutodesk Revit

oBIM 360 / Autodesk Construction Cloud

oLaser scanning and point cloud integration

•Support 4D scheduling integration where applicable.

Data Center–Specific Responsibilities

•Coordinate high-density MEP systems (power, cooling, containment).

•Support generator, switchgear, and UPS coordination modeling.

•Manage BIM deliverables required by hyperscale clients.

•Ensure compliance with owner digital handover requirements.

Leadership & Development

•Mentor BIM Coordinators and VDC Engineers.

•Partner with Project Managers and Superintendents.

•Drive digital innovation and continuous improvement.

About you:

Required:

•5+ years BIM/VDC experience in construction.

•2+ years experience in mission-critical or data center environments preferred.

•Proficiency in Revit, Navisworks, and BIM 360/ACC.

•Strong understanding of construction sequencing and field operations.

•Experience leading multi-trade coordination meetings.

Preferred:

•Experience with prefab or modular MEP builds.

•Knowledge of 4D scheduling tools.

•Familiarity with laser scanning workflows.

•Degree in Construction Management, Engineering, or Architecture.

Core Competencies:

•Strong technical modeling expertise

•Field-centric mindset

•Leadership and facilitation skills

•Schedule awareness

•Problem solving in high-pressure environments