Associate Director, CRM Solution Architect - AI Enablement
Bristol-Myers Squibb
Associate Director, CRM Solution Architect - AI Enablement
Job Description
Working across business and IT, the architect ensures that AI capabilities enhance every aspect of the commercial technology landscape - from omnichannel orchestration and call planning to customer personalization and sales effectiveness. Designs solutions that leverage AI for next-best-action recommendations, call planning optimization, sentiment and engagement analysis, and predictive insights. Works with data science teams to operationalize AI/ML models within CRM, ensuring models deliver actionable insights to sales, medical, and marketing users. Establishes architectural blueprints and governance frameworks that ensure scalable, secure, and compliant deployment of AI-enabled CRM solutions across markets. Advises business and IT leaders on emerging AI technologies and their potential to transform field engagement models. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Champions the use of AI to improve HCP engagement through personalization, dynamic content delivery, and intelligent call or email sequencing. Collaborates with commercial leaders to translate business goals into AI-driven CRM capabilities that enhance sales effectiveness and customer satisfaction. Partners with business stakeholders to reimagine field team workflows through automation, guided selling, and embedded intelligence within CRM interfaces. Defines success metrics for AI adoption in the field, ensuring measurable improvements in engagement quality, reach, and impact. Supports change management, training, and adoption programs to help field users embrace AI assisted tools and insights. Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field. Minimum 8 years of experience in solution architecture, CRM systems, or commercial IT within Life Sciences or related industries. Deep expertise in Veeva Vault CRM/Vault Suite and the Salesforce platforms, including configuration, customization, and data model design. Proven experience in AI/ML integration within enterprise CRM systems, including recommendation engines, predictive analytics, NLP, and automation. Strong understanding of commercial operations (sales effectiveness, multichannel engagement, HCP segmentation, and targeting). Demonstrated ability to translate business strategy into AI-enabled technical solutions that drive measurable customer and field outcomes. Strong background in systems integration (APIs, data pipelines, MDM, middleware), data governance, and security. Excellent leadership, communication, and stakeholder management skills. Experience working directly with or for pharmaceutical, biotech, or medical device companies. Prior consulting or architecture leadership experience in Life Sciences. Expertise in Veeva Commercial Cloud modules (Vault PromoMats, MedComms, Align, Network). Familiarity with cloud and AI platforms (AWS, Azure, GCP, Databricks, OpenAI, or similar). Knowledge of MLOps, data pipelines, and model deployment practices. Certifications: Veeva (CRM/Vault), Salesforce Architect, TOGAF, or relevant AI/ML/cloud certifications. Understanding of GxP, regulatory compliance, and ethical AI principles.
Key Responsibilities
- Design solutions that leverage AI for next-best-action recommendations, call planning optimization, sentiment and engagement analysis, and predictive insights
- Work with data science teams to operationalize AI/ML models within CRM, ensuring models deliver actionable insights to sales, medical, and marketing users
- Establish architectural blueprints and governance frameworks that ensure scalable, secure, and compliant deployment of AI-enabled CRM solutions across markets
- Advise business and IT leaders on emerging AI technologies and their potential to transform field engagement models
- Champion the use of AI to improve HCP engagement through personalization, dynamic content delivery, and intelligent call or email sequencing
- Collaborate with commercial leaders to translate business goals into AI-driven CRM capabilities that enhance sales effectiveness and customer satisfaction
- Partner with business stakeholders to reimagine field team workflows through automation, guided selling, and embedded intelligence within CRM interfaces
- Define success metrics for AI adoption in the field, ensuring measurable improvements in engagement quality, reach, and impact
- Support change management, training, and adoption programs to help field users embrace AI assisted tools and insights
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field
- Minimum 8 years of experience in solution architecture, CRM systems, or commercial IT within Life Sciences or related industries
- Deep expertise in Veeva Vault CRM/Vault Suite and the Salesforce platforms, including configuration, customization, and data model design
- Proven experience in AI/ML integration within enterprise CRM systems, including recommendation engines, predictive analytics, NLP, and automation
- Strong understanding of commercial operations (sales effectiveness, multichannel engagement, HCP segmentation, and targeting)
- Demonstrated ability to translate business strategy into AI-enabled technical solutions that drive measurable customer and field outcomes
- Strong background in systems integration (APIs, data pipelines, MDM, middleware), data governance, and security
Preferred Qualifications
- Experience working directly with or for pharmaceutical, biotech, or medical device companies
- Prior consulting or architecture leadership experience in Life Sciences
- Expertise in Veeva Commercial Cloud modules (Vault PromoMats, MedComms, Align, Network)
- Familiarity with cloud and AI platforms (AWS, Azure, GCP, Databricks, OpenAI, or similar)
- Knowledge of MLOps, data pipelines, and model deployment practices
- Certifications: Veeva (CRM/Vault), Salesforce Architect, TOGAF, or relevant AI/ML/cloud certifications
- Understanding of GxP, regulatory compliance, and ethical AI principles
Skills Required
- Excellent leadership, communication, and stakeholder management skills
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Locations
- Princeton NJ, United States
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent leadership, communication, and stakeholder management skillsintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field (experience)
- Minimum 8 years of experience in solution architecture, CRM systems, or commercial IT within Life Sciences or related industries (experience)
- Deep expertise in Veeva Vault CRM/Vault Suite and the Salesforce platforms, including configuration, customization, and data model design (experience)
- Proven experience in AI/ML integration within enterprise CRM systems, including recommendation engines, predictive analytics, NLP, and automation (experience)
- Strong understanding of commercial operations (sales effectiveness, multichannel engagement, HCP segmentation, and targeting) (experience)
- Demonstrated ability to translate business strategy into AI-enabled technical solutions that drive measurable customer and field outcomes (experience)
- Strong background in systems integration (APIs, data pipelines, MDM, middleware), data governance, and security (experience)
Preferred Qualifications
- Experience working directly with or for pharmaceutical, biotech, or medical device companies (experience)
- Prior consulting or architecture leadership experience in Life Sciences (experience)
- Expertise in Veeva Commercial Cloud modules (Vault PromoMats, MedComms, Align, Network) (experience)
- Familiarity with cloud and AI platforms (AWS, Azure, GCP, Databricks, OpenAI, or similar) (experience)
- Knowledge of MLOps, data pipelines, and model deployment practices (experience)
- Certifications: Veeva (CRM/Vault), Salesforce Architect, TOGAF, or relevant AI/ML/cloud certifications (experience)
- Understanding of GxP, regulatory compliance, and ethical AI principles (experience)
Responsibilities
- Design solutions that leverage AI for next-best-action recommendations, call planning optimization, sentiment and engagement analysis, and predictive insights
- Work with data science teams to operationalize AI/ML models within CRM, ensuring models deliver actionable insights to sales, medical, and marketing users
- Establish architectural blueprints and governance frameworks that ensure scalable, secure, and compliant deployment of AI-enabled CRM solutions across markets
- Advise business and IT leaders on emerging AI technologies and their potential to transform field engagement models
- Champion the use of AI to improve HCP engagement through personalization, dynamic content delivery, and intelligent call or email sequencing
- Collaborate with commercial leaders to translate business goals into AI-driven CRM capabilities that enhance sales effectiveness and customer satisfaction
- Partner with business stakeholders to reimagine field team workflows through automation, guided selling, and embedded intelligence within CRM interfaces
- Define success metrics for AI adoption in the field, ensuring measurable improvements in engagement quality, reach, and impact
- Support change management, training, and adoption programs to help field users embrace AI assisted tools and insights
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories
Answer 10 quick questions to check your fit for Associate Director, CRM Solution Architect - AI Enablement @ Bristol-Myers Squibb.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Associate Director, CRM Solution Architect - AI Enablement
Bristol-Myers Squibb
Associate Director, CRM Solution Architect - AI Enablement
Job Description
Working across business and IT, the architect ensures that AI capabilities enhance every aspect of the commercial technology landscape - from omnichannel orchestration and call planning to customer personalization and sales effectiveness. Designs solutions that leverage AI for next-best-action recommendations, call planning optimization, sentiment and engagement analysis, and predictive insights. Works with data science teams to operationalize AI/ML models within CRM, ensuring models deliver actionable insights to sales, medical, and marketing users. Establishes architectural blueprints and governance frameworks that ensure scalable, secure, and compliant deployment of AI-enabled CRM solutions across markets. Advises business and IT leaders on emerging AI technologies and their potential to transform field engagement models. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Champions the use of AI to improve HCP engagement through personalization, dynamic content delivery, and intelligent call or email sequencing. Collaborates with commercial leaders to translate business goals into AI-driven CRM capabilities that enhance sales effectiveness and customer satisfaction. Partners with business stakeholders to reimagine field team workflows through automation, guided selling, and embedded intelligence within CRM interfaces. Defines success metrics for AI adoption in the field, ensuring measurable improvements in engagement quality, reach, and impact. Supports change management, training, and adoption programs to help field users embrace AI assisted tools and insights. Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field. Minimum 8 years of experience in solution architecture, CRM systems, or commercial IT within Life Sciences or related industries. Deep expertise in Veeva Vault CRM/Vault Suite and the Salesforce platforms, including configuration, customization, and data model design. Proven experience in AI/ML integration within enterprise CRM systems, including recommendation engines, predictive analytics, NLP, and automation. Strong understanding of commercial operations (sales effectiveness, multichannel engagement, HCP segmentation, and targeting). Demonstrated ability to translate business strategy into AI-enabled technical solutions that drive measurable customer and field outcomes. Strong background in systems integration (APIs, data pipelines, MDM, middleware), data governance, and security. Excellent leadership, communication, and stakeholder management skills. Experience working directly with or for pharmaceutical, biotech, or medical device companies. Prior consulting or architecture leadership experience in Life Sciences. Expertise in Veeva Commercial Cloud modules (Vault PromoMats, MedComms, Align, Network). Familiarity with cloud and AI platforms (AWS, Azure, GCP, Databricks, OpenAI, or similar). Knowledge of MLOps, data pipelines, and model deployment practices. Certifications: Veeva (CRM/Vault), Salesforce Architect, TOGAF, or relevant AI/ML/cloud certifications. Understanding of GxP, regulatory compliance, and ethical AI principles.
Key Responsibilities
- Design solutions that leverage AI for next-best-action recommendations, call planning optimization, sentiment and engagement analysis, and predictive insights
- Work with data science teams to operationalize AI/ML models within CRM, ensuring models deliver actionable insights to sales, medical, and marketing users
- Establish architectural blueprints and governance frameworks that ensure scalable, secure, and compliant deployment of AI-enabled CRM solutions across markets
- Advise business and IT leaders on emerging AI technologies and their potential to transform field engagement models
- Champion the use of AI to improve HCP engagement through personalization, dynamic content delivery, and intelligent call or email sequencing
- Collaborate with commercial leaders to translate business goals into AI-driven CRM capabilities that enhance sales effectiveness and customer satisfaction
- Partner with business stakeholders to reimagine field team workflows through automation, guided selling, and embedded intelligence within CRM interfaces
- Define success metrics for AI adoption in the field, ensuring measurable improvements in engagement quality, reach, and impact
- Support change management, training, and adoption programs to help field users embrace AI assisted tools and insights
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field
- Minimum 8 years of experience in solution architecture, CRM systems, or commercial IT within Life Sciences or related industries
- Deep expertise in Veeva Vault CRM/Vault Suite and the Salesforce platforms, including configuration, customization, and data model design
- Proven experience in AI/ML integration within enterprise CRM systems, including recommendation engines, predictive analytics, NLP, and automation
- Strong understanding of commercial operations (sales effectiveness, multichannel engagement, HCP segmentation, and targeting)
- Demonstrated ability to translate business strategy into AI-enabled technical solutions that drive measurable customer and field outcomes
- Strong background in systems integration (APIs, data pipelines, MDM, middleware), data governance, and security
Preferred Qualifications
- Experience working directly with or for pharmaceutical, biotech, or medical device companies
- Prior consulting or architecture leadership experience in Life Sciences
- Expertise in Veeva Commercial Cloud modules (Vault PromoMats, MedComms, Align, Network)
- Familiarity with cloud and AI platforms (AWS, Azure, GCP, Databricks, OpenAI, or similar)
- Knowledge of MLOps, data pipelines, and model deployment practices
- Certifications: Veeva (CRM/Vault), Salesforce Architect, TOGAF, or relevant AI/ML/cloud certifications
- Understanding of GxP, regulatory compliance, and ethical AI principles
Skills Required
- Excellent leadership, communication, and stakeholder management skills
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Locations
- Princeton NJ, United States
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent leadership, communication, and stakeholder management skillsintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field (experience)
- Minimum 8 years of experience in solution architecture, CRM systems, or commercial IT within Life Sciences or related industries (experience)
- Deep expertise in Veeva Vault CRM/Vault Suite and the Salesforce platforms, including configuration, customization, and data model design (experience)
- Proven experience in AI/ML integration within enterprise CRM systems, including recommendation engines, predictive analytics, NLP, and automation (experience)
- Strong understanding of commercial operations (sales effectiveness, multichannel engagement, HCP segmentation, and targeting) (experience)
- Demonstrated ability to translate business strategy into AI-enabled technical solutions that drive measurable customer and field outcomes (experience)
- Strong background in systems integration (APIs, data pipelines, MDM, middleware), data governance, and security (experience)
Preferred Qualifications
- Experience working directly with or for pharmaceutical, biotech, or medical device companies (experience)
- Prior consulting or architecture leadership experience in Life Sciences (experience)
- Expertise in Veeva Commercial Cloud modules (Vault PromoMats, MedComms, Align, Network) (experience)
- Familiarity with cloud and AI platforms (AWS, Azure, GCP, Databricks, OpenAI, or similar) (experience)
- Knowledge of MLOps, data pipelines, and model deployment practices (experience)
- Certifications: Veeva (CRM/Vault), Salesforce Architect, TOGAF, or relevant AI/ML/cloud certifications (experience)
- Understanding of GxP, regulatory compliance, and ethical AI principles (experience)
Responsibilities
- Design solutions that leverage AI for next-best-action recommendations, call planning optimization, sentiment and engagement analysis, and predictive insights
- Work with data science teams to operationalize AI/ML models within CRM, ensuring models deliver actionable insights to sales, medical, and marketing users
- Establish architectural blueprints and governance frameworks that ensure scalable, secure, and compliant deployment of AI-enabled CRM solutions across markets
- Advise business and IT leaders on emerging AI technologies and their potential to transform field engagement models
- Champion the use of AI to improve HCP engagement through personalization, dynamic content delivery, and intelligent call or email sequencing
- Collaborate with commercial leaders to translate business goals into AI-driven CRM capabilities that enhance sales effectiveness and customer satisfaction
- Partner with business stakeholders to reimagine field team workflows through automation, guided selling, and embedded intelligence within CRM interfaces
- Define success metrics for AI adoption in the field, ensuring measurable improvements in engagement quality, reach, and impact
- Support change management, training, and adoption programs to help field users embrace AI assisted tools and insights
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories
Answer 10 quick questions to check your fit for Associate Director, CRM Solution Architect - AI Enablement @ Bristol-Myers Squibb.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs