Novartis
Pharma
SeniorAnalyst,BrandDataEnablement,DataIntegrations
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“Senior Analyst, Brand Data Enablement, Data Integrations at Novartis. Skills: Data Enablement, Data Integration, Brand Data, Pharma Commercial Data, Data Migration, Data Quality. Catalog all brand-level data enablement deliverables — including datasets, KPI outputs, recurring reports, SOPs, and operational workflows. Document data sources, refresh cadence, business owners, downstream consumers, and quality standards for each deliverable”
What You'll Achieve.
Ensure that the brand data products, operational datasets, and performance reporting pipelines are assessed, translated, and re-established within the target organization's / target platform’s data and infrastructure ecosystem — without disruption to brand teams' decision-making capabilities; Ensure that commercial datasets, brand KPI frameworks, and enablement workflows are mapped, migrated, and validated through evolving infrastructure landscapes; Deliver migrated brand enablement outputs as per agreed timelines, accuracy, and quality standards; delivery against defined KPIs
Industry & Context.
analytical mindset; Identify gaps, overlaps, and definition conflicts
What They're Looking For.
Must Have
3–5 years of experience in a data enablement role, Familiarity with data tools such as SQL, Dataiku, Power BI, Python, and project management tools (e.g. , Jira), Exposure to US pharma commercial datasets such as patient-level data (APLD), specialty pharmacy (SP), prescription audits (e. g. , IQVIA Xponent), claims/diagnosis data, promotional activity, HCP affiliations, and CRM data, Experience developing and coordinating project plans across design, development, and production stages with delivery against defined KPIs, collaboration skills with cross-functional teams including brand, technical, analytics, and data engineering functions, communication and presentation skills with good learning agility and an analytical mindset
Nice to Have
Demonstrated experience in migrating or re-building brand data enablement deliverables during a platform transition, data and platform integration, or large-scale infrastructure change — not just steady-state delivery, Proven ability to map and reconcile commercial pharma datasets across two entities or platforms — including field-level crosswalks for prescription data, patient-level data, promotional feeds, and third-party syndicated sources, Hands-on experience with data quality management during transitions — maintaining SOPs, quality checklists, and validation protocols while underlying infrastructure is changing
What You'll Do.
Catalog all brand-level data enablement deliverables — including datasets
and operational workflows
Document data sources
and quality standards for each deliverable
and maintain data enablement solutions that translate brand performance datasets into the target organization's infrastructure
Ensure that commercial data feeds are re-mapped and re-connected on the target platform with full fidelity
Map commercial data sources to the target organization's equivalent datasets
and definition conflicts
Produce field-level crosswalk documents and drive alignment with relevant stakeholders
Maintain and adapt standard operating procedures (SOPs) and quality checklists for all brand enablement outputs during migration
Ensure that data quality checkpoints are preserved or enhanced as deliverables move from legacy to target infrastructure
Define acceptance criteria for each migrated deliverable
Deliver migrated brand enablement outputs as per agreed timelines
and quality standards
Execute side-by-side validation of legacy vs. migrated outputs
Coordinate with brand stakeholders for UAT and sign-off
Maintain exemplary communication with all partners — brand teams
and leadership — through regular updates focused on migration progress
Support leads with appropriate documentation throughout the delivery lifecycle
Participate in and contribute to cross-team knowledge sharing sessions to propagate migration learnings
improve quality deliverables
and accelerate enablement for all brands/teams transitioning to the new platform
Identify opportunities to standardize and improve brand data products enabled by platform consolidation
How You'll Work.
Team & Collaboration
work across brand operations, data engineering, and analytics functions from both entities; collaboration skills with cross-functional teams including brand, technical, analytics, and data engineering functions; Maintain exemplary communication with all partners — brand teams, data engineering, analytics, and leadership; Coordinate with brand stakeholders for UAT and sign-off; Participate in and contribute to cross-team knowledge sharing sessions
Communication Scope
communication and presentation skills; Maintain exemplary communication with all partners
Process & Methodology
Experience developing and coordinating project plans across design, development, and production stages with delivery against defined KPIs, project management tools (e.g. , Jira)
Full Job Description
**Job Description Summary** We are seeking a Senior Analyst, Brand Data Enablement to support the migration, integration, and continuity of brand-level data enablement deliverables as part of a large-scale acquisition and platform change programs. This role ensures that the brand data products, operational datasets, and performance reporting pipelines are assessed, translated, and re-established within the target organization's / target platform’s data and infrastructure ecosystem — without disruption to brand teams' decision-making capabilities. The individual will work across brand operations, data engineering, and analytics functions from both entities, ensuring that commercial datasets, brand KPI frameworks, and enablement workflows are mapped, migrated, and validated through evolving infrastructure landscapes. This role requires a blend of data enablement expertise, pharma commercial domain knowledge, and the structured execution discipline essential to data & platform integration programs. **Job Description** **Location:** Hyderabad #Hybrid **Key Responsibilities** * **Brand Data Discovery & Inventory:** Catalog all brand-level data enablement deliverables — including datasets, KPI outputs, recurring reports, SOPs, and operational workflows. Document data sources, refresh cadence, business owners, downstream consumers, and quality standards for each deliverable. * **Data Enablement Migration:** Design, develop, and maintain data enablement solutions that translate brand performance datasets into the target organization's infrastructure. Ensure that commercial data feeds (e.g., prescription data, promotional activity, patient-level data, specialty pharmacy, affiliations) are re-mapped and re-connected on the target platform with full fidelity. * **Cross-Entity Dataset Reconciliation:** Map commercial data sources to the target organization's equivalent datasets (e.g., patient-level data, prescription audits, promotional feeds, third-party syndicated data). Iden
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