Associate Director - Business Intelligence, Analytics, and AI Automation (Hybrid)
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Key skills for this role
About the Role
AbbVie seeks an Associate Director to lead enterprise data and AI/Agentic programs across systems. This role combines technical leadership with organizational navigation, bridging business needs and technical execution.
Key Skills for This Role
Responsibilities
- Engage with stakeholders to understand data needs, regulatory requirements and success metrics; design end to end data solutions
- Establish data architecture standards and patterns and enforce consistency; own the technical platform roadmap
- Learn existing capabilities and tech landscape within the enterprise and leverage these connections to avoid duplication
- Work closely with Business BTS partners to provide technical feasibility, timelines and risk assessment
- Develop operating engagement models in partnership with Directors of BTS Corporate Services and HR
- Responsible for hiring and training of new and existing staff, conduct performance reviews and provide leadership and technical guidance
- Evaluate build vs. buy vs. build on existing decisions; select resources strategically
- Create realistic project scopes and budgets for data and AI Automation initiatives; manage resource budgets
Requirements
- Bachelor's degree with 9 years experience; Master's degree with 8 years experience; PhD with 4 years experience
- Ability to effectively manage project scope and articulate tradeoffs
- Ability to provide clear technical specifications for engineers and clear business value narratives for stakeholders
- Demonstrated ability to evaluate tools and platforms based on technical fit, organizational constraints and cost
- Deep understanding of data architecture approaches, patterns, design principles and trade offs
- Proficiency with SQL and at least one other programming language (i.e. Python)
- Exposure to multiple data platforms (Azure, Snowflake, AWS, Graph database (Neo4j), etc.)
- Exposure to multiple BI/analytics tools, integration platforms and data governance tools (Power BI, Qlik)
- Understanding of APIs, microservices and integration patterns
- Healthcare or regulated industry experience
- Ability to navigate large matrixed environments
- Strong hiring and team building acumen
Full Job Posting
Job Description
- Lead the design, strategy, and delivery of enterprise data and AI/Agentic programs across enterprise systems.
- This role combines technical leadership with organizational navigation; you will be the bridge between complex business needs and technical execution, accountable for defining solutions, identifying the right team members and resources (both internal and external) and ensuring consistency across the
- Requires a technically credible leader who understands data architecture deeply and has built or led data systems.
Responsibilities
- Business Requirements Translation & Solution Design: engage with stakeholders to understand data needs, regulatory requirements and success metrics. Ask smart diagnostic questions and design end to end data solutions from source systems through transformation, governance, and consumption.
- Develop Strategies to Leverage Enterprise Data and Tools: establish data architecture standards and patterns and enforce consistency. Own the technical platform roadmap ensuring tools and technologies are selected strategically, not reactively by individual teams. Conduct architecture reviews for ma
- Identify Internal Resources and Partnerships: learn existing capabilities and tech landscape within the enterprise and leverage these connections so that we don't duplicate or reinvent.
- Develop Cross Functional Partnerships & Communication: work closely with the Business BTS partners within Corporate Services and HR that interface with business stakeholders. The Business BTS partners will bring requirements, you will provide technical feasibility, timelines and risk assessment. Rep
- Develop the Operating Engagement Models: in partnership with the Directors of BTS Corporate Services and HR, create the processes that will allow this team to serve the Business BTS teams at scale.
- Team Leadership, Hiring & Resource Identification: responsible for the hiring and training of new and existing staff, conduct performance reviews and provide leadership, technical guidance and coaching to staff. Build organizational talent by creating a learning environment that ensures employees re
- Technical Decision Making & Build Resource Selection: evaluate build vs. buy vs. build on existing decisions. Select resources strategically deciding what work should be done by your team or purchased from vendors. Create realistic project scopes and budgets for data and AI Automation initiatives. W
Qualifications
- Bachelors degree with 9 years experience; Masters Degree with 8 years experience; PhD with 4 year experience.
- Scope Management: ability to effectively manage project scope and articulate tradeoffs.
- Ability to provide clear technical specifications for engineers and clear business value narratives for stakeholders.
- Demonstrated ability to evaluate tools and platforms based on technical fit, organizational constraints and cost not hype or personal preference.
- Deep understanding of data architecture approaches, patterns, design principles and trade offs.
- Proficiency with SQL and at least one other programming language (i.e. Python).
- Exposure to multiple data platforms: Azure, Snowflake, AWS, Graph database (Neo4j), etc.
- Exposure to multiple BI/analytics tools, integration platforms and data governance tools: Power BI, Qlik.
- Understanding of APIs, microservices and integration patterns.
- Healthcare or regulated industry experience: understanding of compliance requirements, audit trails, data governance and regulatory mindset. If not directly pharma, you've worked in an environment with comparable rigor.
- Ability to navigate large matrixed environments.
- Strong hiring and team building acumen.
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