Proactively identifies and advances strategic data analytics and AI opportunities with business unit leaders providing technical solution leadership across all aspects of information systems planning design delivery and optimization.
Leads the translation of business problems into end-to-end technical solutions defining data architecture modeling approaches and solution design while evaluating trade-offs across platforms and technologies. Moves beyond traditional requirements gathering to own and shape solution direction ensuring alignment between business objectives and technical execution.
Champions the delivery of advanced custom analytics and AI solutions by collaborating with cross-functional teams challenging conventional thinking and driving measurable business value through a deep understanding of data processes and systemsultimately advancing impactful outcomes for patients.
Responsibilities:
- Lead the conception design and deployment of data analytics and AI solutions translating strategic objectives and information needs into scalable end-to-end system architectures across ingestion transformation modeling and consumption layers.
- Act as a technical solution lead across a portfolio of initiatives guiding cross-functional teams through the full lifecycle of data and AI products ensuring alignment on architecture priorities and delivery outcomes.
- Define and oversee data models semantic layers and transformation logic ensuring consistency scalability and alignment with business definitions and KPIs.
- Partner closely with data engineering data science and platform teams to guide implementation challenge design decisions and ensure high-quality technical delivery.
- Drive pragmatic solutioning by balancing speed cost scalability and data readinessclearly articulating trade-offs and guiding stakeholders toward optimal decisions.
- Lead stakeholder engagement and governance forums effectively communicating complex technical concepts in business terms while managing expectations across competing priorities.
- Champion the development and deployment of advanced analytics and AI solutions (including ML and LLM-based use cases) ensuring alignment with business value and operational feasibility.
- Ensure adherence to enterprise standards including data governance security and regulatory compliance (e.g. GxP) while enabling innovation.
- Facilitate incremental and iterative delivery approaches (e.g. MVPs phased releases) to accelerate time-to-value while managing risk and data limitations.
- Foster a culture of continuous improvement and innovation by introducing modern data practices tools and architectural patterns.
Qualifications :
Required:
- Bachelors Degree with 6 years experience masters degree with 5 years experience PhD and 0 years experience
- Experience in data analytics or technical solution leadership roles.
- Proven excellence in analytical thinking sound judgment and consultative abilities with strong communication and influencing skills to navigate and balance diverse stakeholder interests through data-driven decision-making and technical leadership.
- Demonstrated ability to lead technical solutions with increasing ownership driving clarity and execution across cross-functional and matrixed teams in ambiguous environments.
- Experience managing or contributing to a portfolio of initiatives with the ability to prioritize align stakeholders and drive outcomes across multiple concurrent efforts.
- Strong understanding of relational and analytical data platforms including advanced SQL proficiency data modeling (dimensional modeling semantic layers) and data pipeline design (ETL/ELT).
- Experience with modern data technologies such as Snowflake Databricks Redshift or similar platforms along with transformation/orchestration tools (e.g. dbt Spark Airflow Informatica).
- Working knowledge of Python for data analysis prototyping or light data processing.
- Familiarity with BI and visualization tools (e.g. Power BI Spotfire Qlik) and an understanding of how data is consumed by business users.
- Practical understanding of AI/ML concepts with exposure to real-world use cases and an understanding of when to apply different approaches (e.g. rules-based vs ML vs LLM-driven solutions).
Preferred:
- Experience in life sciences/pharma environments and familiarity with regulatory and compliance considerations.
- Familiarity with data governance and catalog tools (e.g. Alation Collibra).
Additional Information :
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 & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:
Work :
No
Employment Type :
Full-time
Proactively identifies and advances strategic data analytics and AI opportunities with business unit leaders providing technical solution leadership across all aspects of information systems planning design delivery and optimization.Leads the translation of business problems into end-to-end technica...
Proactively identifies and advances strategic data analytics and AI opportunities with business unit leaders providing technical solution leadership across all aspects of information systems planning design delivery and optimization.
Leads the translation of business problems into end-to-end technical solutions defining data architecture modeling approaches and solution design while evaluating trade-offs across platforms and technologies. Moves beyond traditional requirements gathering to own and shape solution direction ensuring alignment between business objectives and technical execution.
Champions the delivery of advanced custom analytics and AI solutions by collaborating with cross-functional teams challenging conventional thinking and driving measurable business value through a deep understanding of data processes and systemsultimately advancing impactful outcomes for patients.
Responsibilities:
- Lead the conception design and deployment of data analytics and AI solutions translating strategic objectives and information needs into scalable end-to-end system architectures across ingestion transformation modeling and consumption layers.
- Act as a technical solution lead across a portfolio of initiatives guiding cross-functional teams through the full lifecycle of data and AI products ensuring alignment on architecture priorities and delivery outcomes.
- Define and oversee data models semantic layers and transformation logic ensuring consistency scalability and alignment with business definitions and KPIs.
- Partner closely with data engineering data science and platform teams to guide implementation challenge design decisions and ensure high-quality technical delivery.
- Drive pragmatic solutioning by balancing speed cost scalability and data readinessclearly articulating trade-offs and guiding stakeholders toward optimal decisions.
- Lead stakeholder engagement and governance forums effectively communicating complex technical concepts in business terms while managing expectations across competing priorities.
- Champion the development and deployment of advanced analytics and AI solutions (including ML and LLM-based use cases) ensuring alignment with business value and operational feasibility.
- Ensure adherence to enterprise standards including data governance security and regulatory compliance (e.g. GxP) while enabling innovation.
- Facilitate incremental and iterative delivery approaches (e.g. MVPs phased releases) to accelerate time-to-value while managing risk and data limitations.
- Foster a culture of continuous improvement and innovation by introducing modern data practices tools and architectural patterns.
Qualifications :
Required:
- Bachelors Degree with 6 years experience masters degree with 5 years experience PhD and 0 years experience
- Experience in data analytics or technical solution leadership roles.
- Proven excellence in analytical thinking sound judgment and consultative abilities with strong communication and influencing skills to navigate and balance diverse stakeholder interests through data-driven decision-making and technical leadership.
- Demonstrated ability to lead technical solutions with increasing ownership driving clarity and execution across cross-functional and matrixed teams in ambiguous environments.
- Experience managing or contributing to a portfolio of initiatives with the ability to prioritize align stakeholders and drive outcomes across multiple concurrent efforts.
- Strong understanding of relational and analytical data platforms including advanced SQL proficiency data modeling (dimensional modeling semantic layers) and data pipeline design (ETL/ELT).
- Experience with modern data technologies such as Snowflake Databricks Redshift or similar platforms along with transformation/orchestration tools (e.g. dbt Spark Airflow Informatica).
- Working knowledge of Python for data analysis prototyping or light data processing.
- Familiarity with BI and visualization tools (e.g. Power BI Spotfire Qlik) and an understanding of how data is consumed by business users.
- Practical understanding of AI/ML concepts with exposure to real-world use cases and an understanding of when to apply different approaches (e.g. rules-based vs ML vs LLM-driven solutions).
Preferred:
- Experience in life sciences/pharma environments and familiarity with regulatory and compliance considerations.
- Familiarity with data governance and catalog tools (e.g. Alation Collibra).
Additional Information :
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 & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:
Work :
No
Employment Type :
Full-time
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