The Re v enue M ana g ement ( R M) Digital Solutions t eam mana g es t echnolo gy s tr a tegy and delivery for t he Pfize r 's Comm er cial Business Units, t he Global Access and V alue ( G AV) org aniza tio n and Pfiz er Comm er cial Finance t eams. Th e t eam plays a c r itical r ole in ens ur ing Pa tient s can easily access Pfize r 's b r eak thr ough medicines t h r ough con tr ac ting opp or tun itie s with Paye r and P rov ide r s.
What Y ou Wil l A chie v e
This r ole w ill be r esponsible t o c onfigur e, maintain and enhance s tr a teg ic t echnolo gy pla tf o r ms and r elated r epor ting dashboards t ha t suppo rt mark et access pre-deal analytics, post-deal analytics and br oader per for mance r epor ting .
Th ese web-based t ools a r e used b y Mar k et Access Stra tegy , P r icin g and Analytics (MAS P A) teams t ha t are r esponsible for pay er and p rov ide r cont r ac t analytics. Th e candida te w ill be accountable for fi nding t he mos t effect iv e ways for technolog y t o suppo rt Pfiz er 's business objec tiv es in th ese domains and o pt imize the return on all technology inv es t ments.
The ideal candida te w ould be someone wit h s tr ong t echnical skill on Data mana g ement to ols, Data Ar chitec tur e, data p r ofiling / quality t ools, A WS s er vices, T ableau, Sno w flake, Infor matica Cloud S ervi ces, Dataiku AI/ML to ols.
This r ole w ill wor k closely wit h func tio nal and technical leads and become a subjec t ma tter exp ert with solutions t o ide ntify , d ev elop, and deplo y pr ocesses and r epor ting . Th e r ole w ill lead Deal Analytics data int e gr a tio n, c r ea te analytic solutions, and u ti lize data p r ep and visualiza tio n pla tf o r ms.
Ho w Y ou Wil l A chie v e It
- Evalua te s and implements solutions t o meet business r equi r ements, ens ur ing consis tent usage and adherence t o data mana g ement bes t p r actices.
- Col labor a te s with prod uc t owner s to prioritize feature s a nd manage t echnical requirements bas ed on bus ine ss nee ds, new te c hnologie s, a nd known iss ue s.
- Develops applica tio n design and documenta ti on for leade r ship t eams.
- A ssists in defining t he vision for t he shared data model, including sourcing, tr ansf or ma tio n, and loading approaches.
- Manag es daily opera tio ns o f th e t eam, ensuring on- ti me delivery of miles to nes.
- Accountable for end-to-end delivery of pr o gr am outcomes with in budget, aligning wit h r eleva nt business units.
- Fos ter s collabo r a tio n with int ernal and e xtern al stakeholders, including s oftw are v endors and data p rov ide r s.
- Wor ks independently with minimal supervision, capable o f making r ecommendations.
You will have t he opp ortunity t o:
- Demons tr a te a solid ability t o tell a story wit h simplistic view s o f comple x datasets.
- Deli ver data r eliabilit y , efficienc y , and bes t -in-class data g o v ernance, ens ur ing secur ity and compliance.
- Will be an integr al par t of developing bes t -in-class solution for th e G AV o rg aniza tio n.
- Build dashboard and r epor ting p r oo f s o f conce pt as needed; develop r epor ting and analysis t empla te s and to ols.
- Wor k in close collab or ation wit h business t eams thr oughout M ASP A (Mar k et A ccess S tr a tegy P r icin g and Analytics) t o determine t ool func tio nalit y/ c onfigur a tio n and data r equi r ements t o ens ur e t ha t th e analytic capability is suppo rting th e mos t c urr ent business needs.
- Par tn e r with th e Digital Client Pa rtner s t o align on pr io ritie s, p r ocesses and g o v ernance and ens ur e experimenta tio n t o ac ti va te innova tio n and pipeline v alue.
Q ualifica t ions Mu s t -Have
- Bachelor's de gr ee in comput er science, S oftw are Engineering, o r engineering r elated area.
- 5+ y ea r s o f r eleva nt experience emphasizing data modeling, development, or systems engineering.
- 1+ y ea r s with a data v isualiza tio n t ool ( e. g . T ableau, P ower B I) .
- 2+ Y ear s of expe r ience in any number o f th e f ollo wing t ools, languages, and databases: ( e. g . M ySQL, SQL, Auror a DB, Redshift, Sno w flake).
- Demons tr a ted capabilities in integr a ting and analyzing heter ogeneous datasets; Ability to identify tr ends, identify outlie r s and find pa tt erns.
- Demons tr a ted expe r tise and capabilities in mat rix ed, c r oss-func tio nal teams and influencing with out a uthority .
- P r o v en experience and demons tr a ted skills with A WS s er vices, T ableau, Airflow, Python and Dataiku.
- Mus t be experienced in DevSecOps t ools JIRA, GitHub.
- Experience in Database design to ols.
- Deep knowledge of Agile methodolo g ies and SDLC pr ocesses.
- E x cellent writt en, interper sonal, and o r al communica tio n skills, communica te and liaise br oadly ac r oss f unc tio ns and t he g lobal org aniza tio n.
- S tr ong analytical, c r itical thinking, and tr oubleshoo ting skills.
- Ambition to learn and utilize em erg ing t echnologies w hile wor kin g in a stimulating team env ir onment.
Nice- to -Have
- Advanced de gr ee in Comput er Engineering, Comput er Science, I nfor ma tio n Systems o r r elated discipline.
- Knowledge wit h GenAI and LLMs fr am ew o r k (OpenAI, A WS).
- US M ark et Access f unc t ional knowledge and data liter ac y .
- Statistical analysis t o understand and im pr o v e possible limita tio ns in models.
- Experience in AI/ML fr am ewor ks.
- Pyte s t and CI/CD too ls.
- Experience in U I/U X design.
- Experience in solution a r chitec tur e & p r oduc t engineering.
O rg aniza t ional Rela tio nships
- Global Access and V alue Or g aniza tio n
- Market A cc e ss St r a tegy , P r ic ing a nd Analytics
- Channel Manag ement, Co ntr ac t O per ations
- Tr ade Ope r a tio ns
- Go v ernment Pricing
- Manag ed Mar kets Finance
- V acc ine s Bus ine ss Unit Le ader s hip
- Co mmer c i al Le ader s for newly launched brand s
- AID A
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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