AbbVie

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Business Systems Consultant - Business Relationship Management, serves as a strategic partner between R&D IT and the global Discovery R&D organization, with primary responsibility for supporting Small Molecule Therapeutics & Platform Technologies (SMTPT). This leader manages and develops a team of business systems analysts while collaborating with R&D leadership to deliver technology solutions that advance AbbVie's Drug Discovery objectives. Through strong relationship management, people leadership, and strategic alignment, the role enables scientific innovation and operational excellence across the organization. Responsibilities: Build and maintain productive partnerships across global leadership, scientists, external collaborators, and other stakeholders to develop and execute integrated technology strategies within the R&D organization. Collaborate with R&D scientists/executives and IT executives to initiate, plan, and set strategic direction for R&D IT projects. Partner with R&D and IT leaders to identify opportunities for AI/ML to enhance scientific and technology workflows. Oversee the deployment and integration of scientific technology tools, including AI solutions, and high-performance computing resources to support R&D discovery research. Champion continuous improvement through ongoing education, evaluation of best practices, and implementation of innovative solutions. Develop and execute stakeholder engagement strategies to inform, consult, and involve stakeholders in key initiatives. Ensure compliance with all relevant corporate and divisional policies and procedures. Lead and develop a team of business analysts, fostering a positive, collaborative, and high-performing culture. Promote a strong customer-focused mindset, ensuring team commitment to engaging stakeholders in process and service development. Drive team members' professional growth through mentorship, training, and development initiatives. Proactively advise leadership on risks and issues to ensure effective management and communication. Qualifications Required: Bachelor's Degree in Life Sciences, Business, Computer Science, Information Systems, Chemistry or a related discipline with 7 years of relevant experience; OR Master's Degree with 6 years of relevant experience; OR PhD with 2 years of relevant experience. Demonstrated experience in business relationship management, business systems analysis, project management, technology solution delivery, or software implementation. Proven ability to lead projects, manage competing priorities, and drive successful business outcomes in complex organizational environments. Experience leading and developing teams, including direct reports, contractors, or cross-functional resources. Strong stakeholder management, communication, and influencing skills, with the ability to build trusted partnerships across business and technology organizations. Ability to translate business strategies and scientific objectives into technology roadmaps and actionable solutions. Preferred: Advanced Degree (MS or PhD) in Life Sciences, Bioinformatics, Computer Science, Information Systems, or a related scientific discipline. Experience supporting pharmaceutical, biotechnology, healthcare, or scientific research organizations. Strong understanding of drug discovery, research informatics, scientific platforms, and data management practices. Demonstrated AI fluency, with the ability to engage business and technical stakeholders on AI/ML opportunities, translate business needs into use cases, and help drive the adoption of AI-enabled solutions. Experience leading cross-functional teams and driving collaboration across business, scientific, and technology functions. Demonstrated success aligning technology strategy, digital innovation, and business objectives. Knowledge of emerging technologies, including artificial intelligence, advanced analytics, and high-performance computing in research environments. Familiarity with regulatory requirements, data privacy standards, compliance frameworks, and quality management practices relevant to scientific research. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Facility Planner serves as a key figure in optimizing the use of an organization's physical spaces, ensuring they are both effective and efficient. Building and maintaining strong relationships with various business units and a diverse range of stakeholders to align organizational goals is key. By partnering with leadership, they develop strategic plans to reorganize groups, optimizing spaces to address the specific needs of different business units. Essential to the role is the enforcement of design standards, which ensures a consistent and functional environment across the organization. Reviews and manages service requests for renovations, handling projects from minor upgrades to large-scale transformations. Leading front-end planning efforts, the planner identifies space requirements early on and sets the scope. This proactive approach ensures that projects align with business objectives and are executed smoothly. Responsibilities Foster strong stakeholder relationships through proactive communication and collaboration, aligning goals with company values while maintaining transparency and recognizing contributions. Gather and analyze data on space utilization, occupancy, and facility conditions to support informed strategic planning and initiatives. Understand data requirements by collaborating with the CAFM (Computer-Aided Facility Management) team to establish clear data quality standards and objectives. Understand what data is critical, the desired format, and any benchmarks for accuracy and completeness. Optimize space, resources, and infrastructure to enhance efficiency, functionality, and cost-effectiveness within the organization. Assess current and future space needs by analyzing organizational growth and operational demands to inform facility requirements. Perform feasibility studies on space usage, suggesting improvements to maximize efficiency while collaborating with stakeholders to align facility planning with business objectives. Strategically plan and manage space utilization, considering varying business needs to ensure optimal functionality. Work closely with the design team to develop floor plan options and collaborate with the project management team to produce accurate cost estimates. Develop comprehensive relocation plans for offices or facilities, ensuring alignment with organizational goals, timelines, and strategic objectives. Utilize facility management software to monitor space utilization and manage service requests, providing timely and accurate project updates to stakeholders regarding status, milestones, risks, and changes. Implement facility planning policies, procedures, and standards that ensure compliance with regulations and organizational values, while advocating change management initiatives to support workplace efficiency and innovation. Qualifications Bachelor's degree required, with a preferred field in Facility Management, Architecture, Engineering, Business Administration, or a related field. A minimum of 8 years of experience in space planning, facility management, or project management. Knowledge of building codes, ADA, safety regulations, and sustainability practices, preferred. Strong analytical, problem-solving, and organizational skills. CAFM (Computer-Aided Facility Management), or similar space management program knowledge is a plus. Proficiency in the MS Office Suite, including advanced skills in MS Excel. Excellent communication and stakeholder management abilities. Willingness to travel requirement of 20% locally and domestically. MVR and a valid drivers license. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us. The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization Responsibilities: Maintain comprehensive knowledge of market access data architecture and data flows Proactively identify and resolve data quality and integrity issues Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines Troubleshoot complex data-related problems and implement sustainable solutions Develop and execute a plan for data acquisition and enablement across the various Market Access data domains Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.) Lead the design, build, and implementation of new BI platforms and analytics solutions Drive ongoing platform enhancements based on evolving business needs and technological advancements Establish and maintain BI standards, best practices, and governance frameworks Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs) Define and maintain business rules ensuring data accuracy and consistency across reporting Translate complex business needs into technical specifications for BI solutions Execute data assessments across new and existing data assets and make use case recommendations to analytics teams. Qualifications Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field 3-5 years of experience in leading projects independently Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data Experience in business and/or analytics consulting roles for technology/analytics services companies a plus. Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources Proven track record of successfully delivering BI initiatives from concept to production Strong analytical mindset with passion for working with data Hands-on proficiency in BI tools and platforms (e.g. Power BI) Experience with data modeling and database design principles Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Data Protection Specialist works with various internal and external groups to ensure that AbbVie information security policies, practices, and procedures are properly implemented within AbbVie. They support the Data Protection Office in strengthening company data security controls and maturing operational processes. The individual will interface with a wide variety of people from different internal organizational units, interface with organizational personnel and staff to ensure that the policy is understood by those required to implement, monitor, and enforce the policy. This role is designed for a professional with an engineering, computer science, software development, or related technical background who is interested in the business, governance, and assurance aspects of data security. Under the guidance of the Data Protection Office, the role will drive control auditing, assurance activities, governance, development, security logging, automation, and the responsible use of artificial intelligence to improve efficiency, consistency, and maturity of data protection processes. Responsibilities: Establish and maintain strong relationships with IT and Business group leaders to understand goals, programs, and plans. Evaluate and articulate program security requirements; identify potential security risk factors and business impact. Conduct assessments of controls to ensure data protection controls are in place. Leverage AI to analyze volumes of data across File Labeling, Application logs, and infrastructure datasets to automate control assurance. Engage AbbVie Third Party Vendors to assess security posture, remediation requirements, and compensating controls as they apply to Business Applications. Develop in-depth knowledge of AbbVie Information Security policies, processes, and procedures, as well as compliance processes and initiatives to provide subject matter expertise and guidance to other organizations (Commercial, R&D, Audit, Legal, Purchasing, etc.) within AbbVie in these matters. Provide Information Security expertise and guidance to Business group leaders and IT Owners to ensure an appropriate balance between security risks and business enablement for identified business programs and initiatives. Provide reporting to management on potential Data Privacy risks and planned remediation. Act as point of contact regarding Information Security matters and AbbVie security policies for AbbVie Purchasing, Legal/Privacy and Quality. Review current technology and information policies and practices for continued applicability with respect to AbbVie commercial and R&D business programs. Provide recommendations for improvements. Qualifications Required: Bachelor's Degree with 5 years of experience; OR Master's Degree with 4 years of experience in Information Security, Data Privacy, or IT Compliance experience. Familiarity with, and experience using, a variety of information security control frameworks, including, but not limited to: NIST Cybersecurity Framework, ISO 2700X, PCI-DSS, SWIFT, Cloud Controls Matrix, HITRUST, NIST 800-171, CIS Controls, etc. Familiarity with global and regional Data Privacy regulations such as GDPR, HIPAA, and CCPA. Experience aligning and testing information security controls and frameworks. Experience writing policies and procedures. Experience working in information security or data privacy in a large, global organization. Strong project management, collaboration, communication, and organizational skills. Adept at communicating concepts to diverse audiences with varying skill sets. Strong written and verbal communication skills are critical. Preferred: Certified Information Security Manager (CISM), Certified Information Privacy Technologist (CIPT), or other equivalent certifications preferred. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us. The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization Responsibilities: Maintain comprehensive knowledge of market access data architecture and data flows Proactively identify and resolve data quality and integrity issues Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines Troubleshoot complex data-related problems and implement sustainable solutions Develop and execute a plan for data acquisition and enablement across the various Market Access data domains Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.) Lead the design, build, and implementation of new BI platforms and analytics solutions Drive ongoing platform enhancements based on evolving business needs and technological advancements Establish and maintain BI standards, best practices, and governance frameworks Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs) Define and maintain business rules ensuring data accuracy and consistency across reporting Translate complex business needs into technical specifications for BI solutions Execute data assessments across new and existing data assets and make use case recommendations to analytics teams. Qualifications Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field 3-5 years of experience in leading projects independently Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data Experience in business and/or analytics consulting roles for technology/analytics services companies a plus. Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources Proven track record of successfully delivering BI initiatives from concept to production Strong analytical mindset with passion for working with data Hands-on proficiency in BI tools and platforms (e.g. Power BI) Experience with data modeling and database design principles Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us. The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization Responsibilities: Maintain comprehensive knowledge of market access data architecture and data flows Proactively identify and resolve data quality and integrity issues Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines Troubleshoot complex data-related problems and implement sustainable solutions Develop and execute a plan for data acquisition and enablement across the various Market Access data domains Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.) Lead the design, build, and implementation of new BI platforms and analytics solutions Drive ongoing platform enhancements based on evolving business needs and technological advancements Establish and maintain BI standards, best practices, and governance frameworks Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs) Define and maintain business rules ensuring data accuracy and consistency across reporting Translate complex business needs into technical specifications for BI solutions Execute data assessments across new and existing data assets and make use case recommendations to analytics teams. Qualifications Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field 3-5 years of experience in leading projects independently Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data Experience in business and/or analytics consulting roles for technology/analytics services companies a plus. Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources Proven track record of successfully delivering BI initiatives from concept to production Strong analytical mindset with passion for working with data Hands-on proficiency in BI tools and platforms (e.g. Power BI) Experience with data modeling and database design principles Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description Serve as an integrator across the Data & Analytics and Procurement AI Sub-Teams, continuously improving governed Procurement Data Products and contextualizing them for AI and machine learning utilization in support of the Procurement AI Roadmap. Responsibilities: Drive continuous improvement of Procurement Data Products, including quality checks, refresh cadences, and schema enhancements Contextualize and enrich Data Products for AI/ML consumption - ensuring structured, documented, feature-ready data formats consumable by AI use cases across the roadmap Bridge the Data & Analytics Sub-Team and the Procurement AI Sub-Team by translating data governance standards into ML-accessible structures and AI-compatible ontologies Support the expansion of AI-enabled analytics capabilities by ensuring underlying data products are properly structured and integrated Contribute to analytics delivery and BI reporting as needed Qualifications Bachelor's or Master's in Data Science, Analytics, Computer Science, or related field 4-6 years of experience in data engineering, analytics engineering, or data product development Strong proficiency in data governance and advanced data modeling Experience with AI/ML data preparation and feature engineering preferred Proficiency in data and analytics tools & technology (AWS/Redshift, Snowflake, Azure, Fabric, SQL, Python, R, Dataiku, DataBricks, Informatica or equivalent) Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Contact Center Platform Engineer is the senior technical authority for OneHUB contact center platforms and related subsystems. This role is responsible for defining, engineering, governing, and continuously improving enterprise-scale contact center technology capabilities across voice, digital, automation, routing, integration, quality, workforce, telephony, resiliency, and customer engagement domains. This role leads enterprise-scale platform architecture, engineering standards, solution evaluation, integration strategy, resiliency, operational readiness, and technical governance across major contact center capabilities. The Principal Contact Center Platform Engineer provides highest-level technical consultation to IT and business leadership, shapes technology roadmap decisions, evaluates emerging capabilities and vendor solutions, resolves complex technical tradeoffs, and mentors platform engineers across the contact center engineering career path. This is the principal career step after the Senior Contact Center Platform Engineer role. While the Senior Contact Center Engineer role focuses on hands-on platform execution and advanced IVA or automation specialization, this role owns broader contact center platform architecture, standards, reliability patterns, vendor strategy, reusable engineering practices, and cross-platform technical leadership. Responsibilities: Lead enterprise-scale contact center platform architecture, engineering design, implementation strategy, and technical governance across major systems and subsystems. Conceive, design, engineer, and implement scalable contact center technology solutions that solve significant business problems and improve productivity, reliability, quality, cost effectiveness, and customer and agent experience. Provide comprehensive technical consultation to business unit and IT management at the highest technical level across contact center platforms, integrations, operating models, and engineering practices. Establish and govern engineering standards, reusable patterns, architecture guardrails, documentation expectations, testing approaches, deployment readiness practices, and operational support models for contact center platform capabilities. Lead evaluation, selection, proof-of-concept, and recommendation of contact center technologies, vendor capabilities, and platform components based on business value, technical fit, scalability, security, supportability, cost, and long-term platform strategy. Partner with business and technology leadership to shape the contact center technology roadmap, identify modernization opportunities, rationalize platform capabilities, and guide investments that improve scalability, reliability, cost effectiveness, and customer and agent experience. Lead integration strategy and design patterns across contact center platforms, Salesforce/CRM, pharmacy fulfillment systems, authentication services, knowledge platforms, data platforms, reporting and analytics, telephony and carrier services, and enterprise APIs. Define and mature resiliency, disaster recovery, business continuity, failover, monitoring, observability, and operational readiness patterns for critical contact center platforms and integrations. Establish reliability engineering practices for contact center platforms, including service health indicators, monitoring, alerting, incident patterns, root-cause analysis, runbooks, and continuous reduction of recurring issues. Resolve complex technical tradeoffs involving platform capability, delivery speed, cost, resilience, security, compliance, vendor fit, integration complexity, operational supportability, and long-term maintainability. Demonstrate knowledge of the pharmaceutical business and OneHUB service model to advance agile, impactful, compliant, and cost-effective contact center technology solutions across multiple business areas. Mature and leverage relationships with affiliates, subsidiaries, vendors, and industry peers in accordance with AbbVie values, vendor management expectations, and purchasing practices. Provide technical leadership, mentorship, design review, and engineering guidance to contact center platform engineers, senior engineers, delivery teams, vendors, and operations partners. May guide the work of others or provide input into performance and technical development. Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, privacy, and the software development lifecycle. What makes this role different Acts as the principal technical authority for major contact center systems and subsystems. Owns platform architecture patterns, engineering standards, integration strategy, reliability patterns, and technical governance across the contact center ecosystem. Provides highest-level technical consultation to IT and business leadership on complex contact center platform decisions. Leads evaluation, selection, proof-of-concept, and recommendation of contact center technologies and vendor capabilities. Defines resiliency, disaster recovery, business continuity, failover, observability, and operational readiness expectations for critical platforms and integrations. Resolves complex tradeoffs involving platform capability, cost, speed, resilience, compliance, security, vendor fit, and long-term maintainability. Mentors engineers and raises technical maturity across the Contact Center Platform Engineering discipline. Qualifications Required: Bachelor's Degree with 8 years of experience in a related field; OR Master's Degree with 6 years of experience; OR PhD with 2 years of experience. Advanced experience with contact center systems and platform domains such as contact routing, CTI, ACD, IVR, call recording, workforce management, quality management, digital channels, IVA, CRM integration, and multichannel contact management across voice, email, chat, SMS, and messaging. Experience deploying and supporting contact center cloud applications, including disaster recovery, business continuity, failover, operational readiness, and platform resiliency patterns. Experience driving product selection, vendor evaluation, technology assessments, proofs of concept, and recommendations based on contact center technology industry trends, business drivers, technical fit, scalability, supportability, and cost effectiveness. In-depth knowledge of systems development lifecycle practices, contact center platform architecture, client-area functions, integration patterns, and technological alternatives for application and platform development. Experience integrating contact center solutions with CRM, Salesforce, pharmacy fulfillment systems, authentication services, knowledge platforms, analytics platforms, telephony services, and enterprise APIs. Proven implementation of creative, scalable, and reliable technology solutions that advanced business outcomes, improved operational performance, or modernized platform capabilities. Strong ability to resolve key project hurdles, challenge assumptions, and make sound technical decisions using available information, engineering judgment, business context, and technical expertise. Ability to provide highest-level technical consultation to IT and business leadership and communicate complex technical recommendations clearly to executive, business, operations, vendor, and engineering audiences. Experience leading or mentoring technical teams, guiding engineering work, reviewing solution designs, and raising technical quality across a platform engineering discipline. Excellent written and oral English communication skills Technical Domains Contact center cloud platforms and CCaaS capabilities, including Five9 and related ecosystem components. ACD, IVR, CTI, call recording, workforce management, quality management, digital channels, and omnichannel routing. IVA, conversational automation, intelligent routing, agent assist, workflow automation, and AI-enabled contact center capabilities. Salesforce/CRM integration, pharmacy fulfillment system integration, authentication services, knowledge platforms, data platforms, reporting/analytics, and enterprise APIs. Telephony, carrier connectivity, SIP, network dependencies, call routing architecture, and operational continuity patterns. Reliability engineering, observability, monitoring, alerting, incident patterns, root-cause analysis, operational runbooks, and recurring issue reduction. Disaster recovery, business continuity planning, platform failover, operational readiness, and service restoration design. Security, privacy, data protection, auditability, GxP considerations, compliance controls, and regulated contact center operations. Vendor capability assessment, technology evaluation . click apply for full job details

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details