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 www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
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 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.
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 major initiatives to ensure alignment to enterprise standards.
- 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. Report regularly to the Directors of BTS Corporate Service and HR on progress, risks, etc. Collaborate with security, data governance, compliance, etc. to ensure solutions meet enterprise requirements.
- 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 realize their highest potential.
- 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. Will manage the resource budgets – monitoring and controlling resources, expenses and capital costs against the project budget.
Qualifications
- 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, audi