Manager, Solution Engineer

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Chennai, Tamil Nadu
Hybrid
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
Why P at ie nt s Need Y ou
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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The Company
HQ: New York, NY
121,990 Employees
Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.

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