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Attorney Manager, Appeals & Rebuttals

A healthcare services organization is seeking an attorney-trained leader to manage provider and supplier enrollment appeals and rebuttals in a CMS-regulated Medicare environment. This is a law-degree-required management role responsible for overseeing appeal and rebuttal operations, guiding attorney-level written work, evaluating complex case records, and ensuring outcomes are timely, well-documented, and aligned with CMS guidance, contractual requirements, and internal procedures.

Candidates must have a J.D. and/or LL.M. from an ABA-accredited law school plus post-law-degree experience in administrative law or legal writing and research. Candidates without these qualifications will not be considered.

This role is a remote, permanent opportunity with occasional travel as needed for client-related meetings.

Applicants without the required law degree and post-law-degree legal experience will not be considered.

Compensation:

• Base salary: $100,000 to $130,000
• Bonus: 10% target bonus

Work Model:

• Remote
• Approved hiring states only: AL, FL, GA, MS, NC, SC, TX, or PA
• Preference for candidates near Northeast Florida or Mechanicsburg, PA, but this is not required
• Travel may be required based on client needs, though frequency is not yet defined

Position Overview:

The Attorney Manager, Appeals & Rebuttals, leads the day-to-day management of provider and supplier enrollment appeal and rebuttal operations in a structured Medicare environment. This role requires strong legal writing and research capability, sound regulatory judgment, disciplined execution, and the ability to manage complex administrative case workflows with consistency and precision.

This individual will supervise approximately 4 to 6 direct reports, maintain performance metrics for timeliness and quality, and partner closely with leadership, compliance, and legal stakeholders to support accurate, evidence-based case outcomes.

This is not a general healthcare operation, grievance-only, provider enrollment-only, paralegal, claims, revenue cycle, or compliance-only management role. It is a law-degree-required legal operations role for candidates with attorney-level writing, research, and administrative review experience.

Key Responsibilities:

Legal Operations, Leadership, and Compliance:

• Lead daily operations for provider and supplier enrollment appeals and rebuttals in a CMS-regulated environment
• Supervise and develop a small team responsible for appeal and rebuttal workflow, written case development, quality review, and administrative case processing
• Maintain team performance metrics tied to timeliness, quality, and compliance expectations
• Review complex appeal and rebuttal matters, assess facts and documentation, and guide consistent, well-supported outcomes aligned with CMS guidance and contractual requirements
• Ensure appeal and rebuttal narratives are supported by evidence, policy, and regulatory requirements
• Translate contractual and regulatory updates into operational workflows, written procedures, and team guidance
• Identify trends, risks, and process improvement opportunities and escalate issues as appropriate
• Support development and maintenance of documentation standards, administrative record quality, and defensible case handling practices

Appeals and Rebuttal Strategy:

• Lead strategy for appeal and rebuttal responses involving provider and supplier enrollment determinations
• Oversee the preparation and review of written narratives, case summaries, and supporting documentation
• Establish and maintain processes that promote timely, accurate, and compliant case handling
• Use workflow and performance data to identify recurring issues, improve quality, and strengthen operational consistency
• Incorporate findings into training, process updates, and policy refinement

Cross-Functional Collaboration:

• Serve as a subject matter resource and escalation point for internal leaders and partner teams
• Coordinate with internal and external legal stakeholders on documentation, case strategy, and administrative record development
• Support interactions with federal client stakeholders as needed regarding appealable and rebuttable determinations
• Collaborate across teams to improve upstream processes and reduce avoidable appeal volume
• Present trends, risks, and recommendations to senior leadership

Required Qualifications:

• J.D. and/or LL.M. from an ABA-accredited law school
• 3+ years of experience in administrative law or post-J.D./post-LL.M. legal writing and research
• 5+ years of supervisory or team leadership experience in legal writing, legal research, and/or administrative law
• Demonstrated ability to make objective decisions in a structured, high-compliance environment
• Experience analyzing workflows and performance data to improve operations and support regulatory compliance
• Strong verbal and written communication skills
• Ability to collaborate effectively across leadership, compliance, legal, and partner teams
• Ability to pass an additional Government ICT background investigation required for access to government systems

Preferred Qualifications:

• Supervisory or management experience in a Medicare production environment
• Experience supporting provider or supplier enrollment appeals, rebuttals, or related regulatory operations
• Experience working with CMS guidance, federal program requirements, and contractual service obligations
• Experience managing teams responsible for structured case review, written determinations, or administrative review workflows

Ideal Background:

• Prior experience leading structured appeals or rebuttal workflows in a highly regulated environment
• Strong legal writing and documentation discipline
• Experience reviewing complex records, applying policy and regulatory requirements, and guiding consistent outcomes
• Experience operating in environments where timeliness, quality, compliance, and audit readiness are critical
• Comfort working in a highly structured role with repetitive review responsibilities and clear performance expectations

Additional Information:

• Approximately 4 to 6 direct reports
• Role supports a function required by a federal client
• Travel may be needed for client-related meetings
• Start timing is flexible for the right candidate

Application:

Candidates with an ABA-accredited J.D. and/or LL.M., attorney-level legal writing and research experience, and management experience in administrative law or regulated healthcare appeals environments are encouraged to apply.

Applicants without the required law degree and post-law-degree legal experience will not be considered.

Job Title: Director Process Development and Manufacturing, CMC

Department: CMC

Reports to: Chief Technical Officer

About the Company:  

Opus Genetics is committed to building an innovative, efficient and sustainable science based and commercial ophthalmic biopharmaceutical company leading the development of transformative gene therapies for the treatment of inherited retinal diseases (IRDs) and therapies to treat patients with other retinal and refractive disorders.

Job Summary: 

The Director of Process Development and Manufacturing will be the technical lead for development and manufacturing of assigned assets within the Opus gene therapy programs focusing on technical transfer and process development and execution supporting product development and manufacturing to achieve company goals and strategies. This includes working collaboratively with external partners (i.e. CDMOs, contract labs, suppliers) to develop technical studies, analyze complex data, make data driven decisions, and author, review, and approve technical and regulatory documents. The ideal candidate will have a deep technical understanding of AAV gene therapy upstream and downstream development and process optimization.  This role will directly interact with the CDMO/contract partners and be responsible for building and maintaining excellent working relationships. Knowledge of manufacturing platforms, consistent with AAV technology, at scales ranging from process development through GMP and PPQ activities. The candidate will be hands-on and expected to provide content to all these areas. 

Duties/Responsibilities: 

·      Work with Opus CDMO/contract manufacturing and laboratory partners to develop a phase appropriate robust manufacturing program to support the process development and engineering of pre commercial and commercial cGMP material to support pre-clinical studies, clinical trials, and commercial supply. 

·      Support, author, and review/approve manufacturing plans and documentation including technical transfer, batch records and documentation, product specifications, stability programs, bridging and comparability studies, and other reports utilizing phase appropriate QbD best practices.

·      Support, author, and review/approve manufacturing documentation including testing records, certificates of testing/analysis, campaign summary reports, investigations, etc. 

·      Support, author, and review/approve regulatory documentation including pINDs, INDs, agency responses, CMC meeting requests and briefing packages, and BLAs.   

·      Ensure proper reference standard material is in place, tested, and released for each product. Lead technology transfer between sites. 

·      Ensure regulatory requirements are in place to support manufacturing campaigns with respect to Master Cell Banks, Plasmids, Drug Substances, Drug Products, and Diluents, to prevent developmental delays and or interruptions to clinical programs or regulatory filings.

·      Perform the role of person in plant as needed at the Opus CDMO/contract manufacturing partner’s sites. Act as the CMC expert during audits and interactions with regulatory agencies. 

·      Manage work to project plans for multiple gene therapy programs in the preclinical, pre-IND, IND/clinical, and commercial stages. 

·      Identify and lead the resolution of operational and functional level challenges, work with program and/or function managers to escalate issues to senior management.

·       Hands on resolution to issues/content generation. Design effective and high-quality presentations and progress reports, as requested.

Supervisory Responsibilities: 

·      None 

Education and Experience: 

·      Master’s degree (minimum) from an accredited institution in a science or health-related field with minimum of 7-10 years of experience in the pharmaceutical or biotechnology industry. Ophthalmology experience is preferred.

·      Additionally, a minimum of 5 years of direct manufacturing experience for biopharmaceuticals. Preference will be given for direct AAV gene therapy experience. Previous CDMO/contract lab experience also preferred.

·      Experience designing and executing technical transfer and scale up campaigns and associated documentation.

·      Experience in writing and reviewing regulatory submissions including pINDs, INDs, Meeting Requests/Briefing Packages, Annual Report/DSUR’s, and BLAs. 

·      Experience with FDA and/or other regulatory agency requirements and interactions.

·      Strong skill set in interacting with multidisciplinary teams for preclinical and clinical development. Clear understanding of the drug development process with experience in multiple phases.

·      Experience with Orphan/Rare Disease programs, and/or Fast Track/Breakthrough Therapy is a plus.

·      Demonstrated leadership skills and ability to influence across all levels of a cross-functional team without direct managerial authority. Experience in risk assessment, negotiation, and problem solving/mitigation.

·      Outstanding interpersonal skills, ability to communicate effectively in both oral and written form, with effective time management skills needed to manage multiple ongoing projects simultaneously.

·      Demonstrated advanced computer software proficiency (Word, Excel, Smartsheet’s, PowerPoint, etc.).  

Physical Requirements:  

·      Ability to travel 20% of time

·      Ability to work in laboratory settings/situations

·      Prolonged periods sitting at a desk and working on a computer. 

·      Must be able to lift up to 15 pounds at times. 

Location:

This position is currently based in the Durham North Carolina area; Hybrid/ remote options considered.

 Salary Range:

$190,000-210,000

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. 

Opus Genetics is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. 

This is a six month assignment in Vacaville

This potsition is for local candidates as there is no travel and living expenses

This is a W2 Position.

Process Engineer I

Summary:

This position is located at Lonza’s production facility in Vacaville, California. The production facility makes pharmaceutical proteins from mammalian cells using large-scale production techniques. This temporary contract position provides hands-on technical support for Process Analytical Technology (PAT) systems deployed on the manufacturing floor at a large-scale biopharmaceutical facility. PAT systems play a critical role in monitoring mammalian cell culture processes by measuring key parameters such as cell density, viability, and metabolite concentrations. Maintaining these systems in a reliable, ready-to-use state is essential for ensuring consistent manufacturing performance.

In this role, you will support day-to-day operation, maintenance, and troubleshooting and repair of PAT instruments used in GMP manufacturing. You will work closely with the Frontline Upstream (FLUS) System Owner, Manufacturing, and Instrumentation staff to assess system issues, perform equipment health checks, execute planned improvements, and assist with investigations into unplanned events. This position supports the increased workload associated with the deployment of several new PAT systems in parallel with existing instruments. This position offers the opportunity to gain hands-on experience with advanced PAT used to support mammalian cell culture and purification operations. The FLUS and Instrumentation groups provide technical support for a wide range of analytical instruments used to monitor cell growth, metabolite profiles, and process performance throughout the manufacturing lifecycle.

Job Duties:

Responsibilities/activities may include, but not limited to:

• Performing routine maintenance, calibration checks, and system readiness activities for PAT instruments such as cell counters and metabolic analyzers (e.g., Cedex Bio, Cedex HiRes, Cedex Cobas).

• Supporting manufacturing operations by responding to system-related issues, troubleshooting instrument performance, and documenting observed problems.

• Assisting in the investigation of unplanned equipment events using structured problem-solving tools and contributing to root cause assessments.

• Conducting equipment health monitoring and contributing to reliability improvement activities to increase system uptime.

• Executing planned equipment changes, minor upgrades, and configuration updates under the direction of the PAT System Owner.

• Reviewing and interpreting instrument data to identify basic trends or abnormalities.

• Supporting adherence to data integrity principles and helping maintain data consistency within systems such as Smartline Data Cockpit.

• Collaborating with Manufacturing, FLUS, Automation, QA, and vendors to ensure systems are functioning as intended.

• Assisting with documentation updates, tracking of work activities, and preparing technical summaries as needed.

• Working independently to accomplish assigned tasks while keeping stakeholders informed of progress.

Education and Experience:

• B.S., M.S., or Ph.D in an engineering or analytical/scientific discipline.

• Prior hands-on experience with analytical systems is required.

• Experience using cell counters and metabolite analyzers (Cedex Bio, Cedex HiRes, Cedex Cobas) in GMP Manufacturing or QC Labs preferred.

Knowledge/Skills/Competencies:

• Working knowledge of current Good Manufacturing Practices (cGMPs) as applied to biopharmaceutical manufacturing or similar regulated industries.

• General understanding of biotech analytical methods and laboratory practices.

• Experience troubleshooting analytical instruments and interpreting equipment performance data.

• Flexibility in problem solving and work hours to meet business objectives.

• Familiarity with data management systems; experience with Smartline Data Cockpit is highly desirable.

• Strong interpersonal and communication skills; able to work effectively with operators, engineers, scientists, and external vendors.

• Ability to work independently and manage assigned tasks with limited supervision.

• Demonstrated ability to evaluate technical situations, propose solutions, and execute corrective actions.

• Strong verbal and written communication skills, including documentation, reporting, and stakeholder updates.

• Ability to build productive working relationships with end users and equipment vendors.

• Strategic thinking mindset with the ability to convert system needs into actionable activities.

• Builds productive relationships with partners; focuses on customer needs.

Clinical Data Scientist

Redwood City, CA (Hybrid potentially remote options)

Salary: $150,000-$190,000

No Sponsorship Available

About the Role

We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.

In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.

You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.

This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.

What You’ll Do

• Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
• Ensure outputs meet quality, compliance, and traceability standards.
• Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using SAS, R, or Python.
• Perform robust data cleaning and QC checks.
• Investigate anomalies and troubleshoot issues across the data pipeline.
• Distinguish between upstream extraction issues and true clinical variations.
• Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
• Serve as an early user and feedback partner for internal data tools.
• Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
• Support compliance and regulatory submission needs.
• Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
• Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.

What You Bring

• Education:
• BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
• Experience:
• 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
• Technical Strengths:
• SAS, R, Python, SQL
• Experience with Git/version control preferred
• Industry Knowledge:
• Familiarity with clinical trial workflows
• Strong understanding of CDISC SDTM/ADaM
• Oncology endpoints (RECIST, survival) and RWD experience is a plus
• Data Wrangling:
• Comfort “stitching together” messy, real‑world clinical datasets
• Experience with unstructured text or NLP outputs is desirable
• Soft Skills:
• Exceptional attention to detail
• Clear, structured communicator
• Proactive, self‑directed, collaborative

JOB DESCRIPTION: We are seeking a highly motivated, analytical, and accountable Senior Supply Planner to execute day-to-day supply and material planning activities. This person will be responsible for developing, executing, and continuously improving supply plans to support customer demand, operational targets, and inventory strategies. This role serves as the planning subject matter expert, driving cross-functional alignment between demand planning, manufacturing, logistics, finance, and commercial teams to ensure product availability, optimize working capital, and mitigate supply risk.

JOB RESPONSIBILITIES:

Supply Planning & Execution

• Develop, manage, and optimize supply plans for finished goods and raw materials
• Review demand forecasts, production capacity, lead times, and constraints to generate feasible supply plans
• Issue PO’s and manage rolling 12 month production forecasts to suppliers
• Input item receipts and PO changes into NetSuite
• Drive root cause analysis and resolution of supply issues, including shortages, delays, and excess inventory
• Maintain appropriate safety stock levels across DC network to balance service and cost
• Monitor inventory health, slow-moving items, and obsolescence risk; recommend corrective actions

Cross-Functional Collaboration

• Partner with Demand Planning, Suppliers, Sourcing, and Sales to align supply with business priorities
• Participate in S&OP, presenting supply risk, opportunities, and recommendations
• Collaborate with logistics to ensure the timeliness of supplier production to DC delivery

Analytics & Reporting

• Track KPIs such as fill rate, inventory turns, E&O / SLOB, achievement, and adherence
• Calculate and present inventory and cut projections
• Analyze trends, develop insights, and create dashboards or reports for leadership
• Support continuous improvement and planning initiatives

Other

• Serve as a planning lead in any software or EDI implementations
• Ensure integrity of related data within NetSuite (orders, BOMs, item receipts, etc.)
• Ad hoc projects and analyses as needed

JOB QUALIFICATIONS:

• Bachelor’s degree in Supply Chain Management or a related field
• Minimum of 3 years of experience in supply planning, materials planning, inventory management, or a related role, within the consumer goods industry. A combination of startup and corporate experience is highly valued.
• Understanding of E2E supply chain, and upstream/downstream impacts this role has
• Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights
• Very organized and able to keep track of information communicated via various modes (emails, Slack, meetings, etc.)
• Demonstrated success in managing supply risk and influencing cross-functional stakeholders
• Responsible and accountable, with the ability to continuously follow up as needed
• Expert proficiency in Microsoft Excel and Google Sheets (advanced formulas, pivot tables/charts, data analysis, macros, etc.)
• Experience with planning software and/or ERP systems (NetSuite, SAP, etc.)
• Ability to thrive in a fast-paced, dynamic, and often ambiguous startup environment; flexibility to change directions as needed

As a Data Steward Senior Analyst, you are part of a team responsible for enabling and supporting compliance with data-related enterprise policies within their domains/business units. You and your team are responsible for identifying critical data and associated risks, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Issues are remediated. You have the opportunity to partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.

In addition, this role will play a key part in effectively communicating new and updated data-related policies to the teams responsible for compliance. The individual must be skilled in preparing clear, engaging presentations that translate formal policy language into practical, easy-to-understand guidance and “tell the story” behind the policy requirements. The role will also support the delivery of training sessions, facilitate policy office hours, and serve as a go-to resource for questions related to data governance and retention compliance.

Your Primary Responsibilities may include:

• Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention (primary), Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.

• Develop training materials and educate organization on Record Retention and Deletion processes and procedures.

• Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.

• Collaborate with and influence product managers to ensure all new use cases are managed according to policies.

• Influence and contribute to strategic improvements to data assessment processes and analytical tools.

• Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.

• Subject matter expertise on multiple platforms.

• Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.

Qualifications include:

• 5 + years of experience in a similar role involved with ensuring compliance with Record Retention and Deletion policies.

• Strong communication skills and ability to influence and engage at multiple levels and cross functionally.

• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.

• 5+ years of Data Quality Management experience.

• Strong familiarity with data architecture and/or data modeling concepts

• 5+ years of experience with Agile or SAFe project methodologies

• Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.

• Preferred: Experience in Travel Industry.

• Preferred: Knowledge of RCSA (Risk Control Self-Assessment) methodology

Leadership Skills may include:

• Makes Decisions Quickly and Effectively: Drives effective outcome through decision making authority. Displays judgement and discretion in order to ensure deliverables are sufficient to the American Express policy and overall compliance.

• Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.

• Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.

• Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

AI & Data - AI Strategy - Senior Manager - Oil & Gas Sector

The opportunity

As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You’ll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations.

As a Senior Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.

• Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
• Manage client relationships, focusing on revenue generation and the identification of new opportunities.
• Develop and manage resource plans and budgets for engagements, ensuring alignment with performance objectives.
• Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance).
• Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
• Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision-making tasks in complex environments.
• Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
• Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end-to-end AI platforms and solutions.
• Partner with senior business and IT leaders to identify strategic opportunities and shape AI-enabled business transformation.
• Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
• Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS).
• Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI.
• Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector-specific solutions.

To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial.

• Strong analytical and decision-making skills to develop solutions to complex problems.
• Proven experience in managing client relationships and leading teams.
• Ability to communicate effectively and influence stakeholders at all levels.

• Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
• 10+ years of experience in technology consulting, digital transformation, or AI-driven business solutions.
• 5+ years of leadership in AI/ML projects, including team management and executive stakeholder engagement.
• Typically, no less than 5 - 7 years of relevant experience.
• Strong expertise in AI Platforms and Tools.
• Proficiency in Data Architecture Design and Modelling.
• Experience in Digital Transformation and IT Effectiveness Assessment.
• Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
• Ability to build and manage relationships effectively.
• Strong exposure to oil & gas industry operations, value levers, and use case landscape.
• Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
• Hands-on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG).
• Experience architecting and scaling MLOps platforms and data science workflows in cloud-native environments.
• Proficiency in Python and tools like Pandas, PyTorch, Scikit-learn, Spark, SQL.
• Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools.
• Strong client-facing skills with the ability to articulate technical topics to business executives.

• Experience in managing change and leading teams.
• Strong negotiation and influencing skills.
• Familiarity with sector knowledge and commercial acumen.
• Prior experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
• Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
• Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
• AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
• Exposure to agile delivery models and design thinking approaches.

We seek individuals who are not only skilled but also passionate about driving innovation and transformation through AI. Top performers are those who can think critically, solve complex problems, and communicate effectively with diverse stakeholders. If you are eager to make a significant impact and thrive in a collaborative environment, we want to hear from you!

FY26NATAID

#FY26NATAID

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

• 
  
• Manage and support key HR processes in the Workday system (employee lifecycle processes, HR reporting, process accuracy, data quality, documentation management).
  
• Handle HR documentation.
  
• Administer data quality reports and act on corrections of errors.
  
• Actively look for continuous improvement ideas and lead initiatives toward process improvements and automation.
  
• Keep process documentation up-to-date.
  
• Take accountability for compliance with defined HR processes and relevant policies.
  
• Cooperate closely with internal and external stakeholders (e.g., Business HR, Benefits, Total Rewards, Finance, and others) to continuously improve service quality and efficiency.
  
• Deliver system and process training to new joiners.
  
• Respond to internal stakeholders regarding questions or issues related to Workday processing data and/or HR reporting.
  
• Cooperate actively and closely with colleagues from other HRConnect Teams for outstanding service delivery.
  

• 
  
• Bi-lingual Spanish speaking and written skills required.
  
• Solid knowledge and expertise in HR systems - Workday would be ideal.
  
• 2 years of experience in an HR environment.
  
• Recent college graduates with an HR degree will be considered.
  
• Bachelor's degree required, with strong preference for a concentration in HR.
  
• Technical expertise in HR processes and understanding of process dependencies.
  
• Strong written and oral communication skills in English and other languages as required.
  
• Customer orientation and ability to adapt quickly to changing environments.
  
• Ability to prioritize multiple requests.
  
• Continuous improvement mindset.
  
• Experience in project management is considered an asset.
  

Business Area:

Seniority Level:

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

You will be a key member of the NFQE (Non Functional QE) team that drives the performance reliability of Cloudera's Kuberneteshosted data services. The role blends deep technical knowledge of performance testing, distributed data workloads, and container orchestration with a datadriven mindset. You'll design, automate, run, and analyze performance tests for Cloudera's flagship services, ensuring they meet or exceed customerdefined SLOs/SLAs at scales.

As a Performance Engineer, you will:

• Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse and Data Engineering stack.

• Work with product managers, developers and the field team to understand performance and scale requirements, and develop benchmarks based on these requirements.

• Develop automation to execute benchmarks, collect and aggregate metrics and profiles, and report results, trends, and regressions.

• Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems.

• Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions.

• Evaluate performance of systems and provide related guidance to the team.

We are excited about you if you have:

• 3 + years of industry experience in performance-related work, ideally on large-scale distributed systems

• Understanding of DBMS algorithms and data structure fundamentals.

• Understanding of hardware trends and full-stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, and distributed systems performance.

• Understanding of performance analysis tools and techniques.

• Strong design, coding skills, and test automation skills (Java/C++/Golang/Python preferred)

• Knowledge of relevant frameworks, cloud provider knowledge, K8s, etc.

• Ability to work in a distributed setting with team members spread in multiple geographies

• Demonstrated ability to work on large cross-functional projects, including strong written communication skills and a collaborative mindset, as you will be working with many teams inside and outside of Cloudera.

• Experience with benchmark and performance test design. You eshould understand basic concepts of performance testing including different types of performance tests (microbenchmarks, end-to-end benchmarks, concurrency and scale testing), how to reduce (or deal with) noise in test results, etc.

• Experience designing performance tests that provide useful insights into specific aspects of performance.

• Solid understanding of basic performance theory - in particular a very good understanding of latency, throughput, and concurrency and how they relate to each other.

• Strong understanding of the types of workloads they'll be testing Ideally they should have specific experience creating performance tests for the specific product area they'll be working on (SQL, ML, etc).

• B.S. or M.S. in Computer Science or equivalent experience.

You might also have:

• Experience with the Hadoop ecosystem (i.e. Hive, Impala, Spark), in specific Prior work on largescale data lakehouse or datawarehouse performance

• Hands-on experience with containerization, Kubernetes, public cloud infrastructure (AWS, Azure and/or GCP) and mesh-networks

• Certifications: CKA/CKAD, AWS Solutions Architect, GCP Cloud Architect, Azure Solutions Architect, or equivalent.

• Security & Compliance: Experience writing performance tests that also verify dataprivacy and audit compliance (e.g., GDPR, HIPAA).

Why this role matters:

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.

We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

This position is not eligible for sponsorship.

The expected base salary range for this role in:

• California is $124,000 - $155,000

The salary will vary depending on your job-related skills, experience and location.

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

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