Technical Delivery Manager - Data Engineering - RDT Pharma Medicines
About this opportunity
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
The Technical Data Delivery Manager will own the delivery of data solutions across the Pharma Commercial ecosystem, including Sales, Marketing, Market Access, Managed Markets, Patient Services, and Commercial Analytics. This role acts as the critical link between commercial business stakeholders and technical delivery teams, ensuring accurate, compliant, and timely data across the full commercial data lifecycle, from data acquisition and integration through to reporting and insights.
Key Responsibilities
Data Delivery & Program Management
Own delivery of data pipelines, integrations, and platforms supporting Commercial functions: Sales (call activity, targeting, alignments), Marketing (campaign/digital engagement), Market Access (payer/formulary data), and Patient Services (hub/specialty pharmacy data).
Manage data ingestion from third-party sources: IQVIA, Symphony Health/Komodo, Veeva, Definitive Healthcare, claims data (medical/pharmacy), specialty pharmacy, and distributor data.
Lead sprint planning, release cycles, UAT, and production go-lives in partnership with data engineering, IT, and business teams.
Manage timelines for recurring commercial data cycles (e.g., monthly/weekly sales data refreshes, incentive compensation cycles, alignment updates)
Manage key projects and programs
Business & Technical Liaison
Translate requirements from Commercial Excellence, Sales Operations, Marketing, and Market Access teams into technical specifications.
Serve as SME on commercial data domains: sales force effectiveness (SFE), CRM (Veeva/Salesforce), MDM (customer/HCP/HCO data), incentive compensation, segmentation & targeting, and syndicated data.
Partner with Compliance/Legal/Privacy on data usage governance (HIPAA, state privacy laws, data licensing terms with vendors like IQVIA/Veeva).
Data Quality & Governance
Define and monitor KPIs for data completeness, accuracy, and timeliness across commercial data feeds.
Establish reconciliation and exception-handling processes (e.g., HCP/HCO matching, territory alignment discrepancies, sales data anomalies).
Drive root-cause analysis for data issues impacting compensation, targeting, or reporting accuracy.
Team & Vendor Leadership
Manage data analysts/engineers and/or third-party vendors and system integrators.
Own vendor relationships with commercial data providers (IQVIA, Veeva, Symphony/Komodo, Definitive Healthcare, etc.).
Continuous Improvement
Identify opportunities to automate manual data processes and improve delivery speed/scalability.
Support data governance initiatives across the commercial data landscape.
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (Master's a plus).
7+ years in data management/delivery, with 3+ years specifically in pharma/biotech/life sciences commercial data .
Experience with commercial data platforms: Veeva CRM, Salesforce, MDM tools (Reltio, IQVIA OneKey), incentive compensation systems.
Strong knowledge of pharma commercial data sources: IQVIA (Xponent, DDD), Symphony Health/Komodo, claims data, specialty pharmacy/hub data, HCP/HCO reference data.
Proficiency in SQL, ETL/data pipeline tools, and cloud data warehousing (Snowflake, Databricks, Redshift).
Program/project management experience delivering technical solutions in a regulated, matrixed environment.
Strong stakeholder management skills across business and technical functions.
Preferred Qualifications
Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (dbt, Airflow, Informatica).
Familiarity with BI/visualization tools (Power BI, Tableau, Qlik, Spotfire).
Understanding of pharma compliance (Sunshine Act, HIPAA, OIG guidelines) as applied to commercial data use.
Agile/Scrum or PMP certification.
Key Competencies
Broad domain fluency across pharma commercial functions (not siloed to one area)
Technical depth in data architecture/integration
Vendor and cross-functional stakeholder management
Strong analytical/problem-solving orientation
Comfort operating in a highly regulated, compliance-sensitive environment
Shift: CET time zone
#Hyderabad2026
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 52 comparable Manager Data & Digital roles across 18 biopharma companies.
Salary context
27 of 52 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 52 comparable roles
+ 1 more countries
Seniority mix
52 of 52 peers have a known seniority level
Therapeutic area mix
1 of 52 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.