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AbbVie
AbbVie

Pharmaceutical company.

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

RoleData Engineering
LevelDirector
LocationNorth Chicago
WorkHybrid
TypeFull-time
Posted1 day ago
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About the role

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.

  • 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 range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future.

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

  • This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

Abb Vie 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 https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

About Abb Vie

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.

Required skills

Data architecture

ETL

Machine learning

Solution design

Team leadership

Data governance

Analytics strategy

Stakeholder management

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About AbbVie

AbbVie

AbbVie

Public

Pharmaceutical company.

10,001+

Employees

North Chicago

Headquarters

$200B

Valuation

Reviews

10 reviews

3.6

10 reviews

Work-life balance

3.2

Compensation

4.1

Culture

4.0

Career

2.8

Management

2.9

68%

Recommend to a friend

Pros

Great benefits

Good compensation/salary

Flexible work arrangements

Cons

Heavy workload/long hours

Limited career advancement

Poor management/lack of direction

Salary Ranges

88 data points

Junior/L3

Mid/L4

Director

Junior/L3 · Associate Manager, Promotion Analytics

1 reports

$144,943

total per year

Base

$125,951

Stock

-

Bonus

-

$144,943

$144,943

Interview experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

Common questions

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge