Associate Director - Business Intelligence, Analytics, and AI Automation (Hybrid)

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.
• 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 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.
• Bachelor's degree with 9 years experience; Master's 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. Phython).
• Exposure to multiple data platforms - Azure, Snowflake, AWS, Graph database (Neo4j), etc.
• Exposure to multiple BI/analytics tools, integration platforms and data governance tools - PowerBI, 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.
• Excellent stakeholder management.
• Comfortable with ambiguity & complexity.
• Exposure to cloud migration, legacy system modernization or platform consolidation.
• Understanding and applied literacy of ML/AI capabilities and limitations.
• Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
• The compensation rang

Benefits

Additional Information

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 data landscape. Requires a technically credible leader who understands data architecture deeply and has built or led data systems. Requires a leader who can connect and orchestrate across a large, complex organization: finding the right talent, identifying where capabilities already exist, evaluating tools based on principles, and making smart build/buy decisions. You will build and lead a small team and work closely with Business BTS partners who bring requirements from the field. In this role you must know appropriate approaches for ETL pipeline, building ML models, etc., how to best execute the work, and hold everyone accountable to standards.

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Company Intel

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