Srdir Tl, Business Analytics

ROLE SUMMARY

The person in this role is accountable for leading a team of data scientists in the key International Developed Markets (e.g., EU5, Japan) to shape Pfizer’s go-to-market model through delivery of data-science driven strategic and tactical decision support. This leader will be responsibilities across multiple business units, including partnering with Biopharma country to understand strategic business needs, frame key issues and to ensure delivery of high-quality, data science services to these markets.

As a strategic partner to Medical and Commercial teams in these key markets, the person in this role will implement models and data-science derived insights that drive brands’ strategic priorities. This will include driving the execution and interpretation AI/ML models, framing problems, shaping solutions, and championing change. Also, this person will help shape the brands’ strategies and tactics by interfacing closely with Data Science COEs to develop bespoke AI/ML models to meet evolving needs, and interface closely with omnichannel-operations to drive execution.

ROLE RESPONSIBILITIES

Role definition and key accountabilities include, but are not limited to:
Team Leadership
- Set a vision and provide day-to-day leadership and supervision of a team of individual contributors
- Build data science and consultative talent and capabilities within this team and contribute to the broader talent building framework across BAI
- Implement data science insights, in collaboration with global BAI data science team, other BAI teams and multiple business units including Brands, Commercial, Medical, Operations, and Data Science COEs, as needed
- Lead prioritization framework and implementation for all BAI colleagues supporting the business
- Lead contractor and sourcing support to extend capabilities and maximize efficiency as needed
- Achieve team budget targets

Commercial and Medical Data Science and Insights
- Provide data science and insight leadership to Country Commercial leaders and Medical leadership to drive brand tactics decisions
- Act as strategic partner to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of Commercial and Medical brand strategies and tactics
- Interface with Omnichannel-operations on execution and data science bespoke analytical needs
- Connect machine learning models and insights together to identify Medical and Commercial brand opportunities and tactics to execute
- Influence Country Medical and Commercial brand teams via compelling and persuasive story and deliver clear and actionable brand tactic recommendations to marketing teams
- Track and analyze impacts of Medical and Commercial brand strategies and tactics using dashboards and data products

Collaborate with Data Science COE
- Partner with Data Science COE to develop bespoke AI and machine learning models; Configure pre-built models and interpret updated results
- Ensure alignment with Data Science COEs teams to ensure cohesive activities with stakeholders

Collaboration with other BAI and Analytics teams
- Lead dialogue with local BAI teams to incorporate data science capabilities and insights into analytics plans and recommendations
- Contribute and inform the advancement of BAI data science and consulting capabilities through thought leadership; seek to share knowledge and expertise with other colleagues making use of knowledge sharing platform
- Ensure alignment with global BAI Data Science and Insights teams and Data Science COE teams to ensure cohesive activitieswith our stakeholders
- Partner with other analytic functions to advance the use of novel data sources, including RWD

PROFESSIONAL CHARACTERISTICS
- Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how BAI can provide value to the organization
- Strong Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights
- Exceptional Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making by senior leaders; can readily align interpersonal style with the individual needs of customers
- Relationship Manager: Acts as a thought partner and brings forward recommendations/questions that influences stakeholders; builds robust and long-term strategic relationships with individuals from all levels of the organization, understanding individual goals and objectives to ensure future alignment of the entire portfolio
- Influencer: Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; ap