Senior Data Analytics Operations Manager (Ingelheim, Germany, Rheinland-Pfalz)
About this opportunity
The Position
Embrace the challenge as a Senior Data Analytics Operations Manager within our Risk Management Team. In this role, you will contribute to continuous improvement of our enterprise Quality Risk Management capability.
This position can be filled in Ingelheim or Biberach
This position is part time eligible with 80 %.
Tasks & responsibilities
Bring together Quality, clinical, operational, and compliance data to create an integrated view of enterprise Quality risk.
Identify emerging, systemic, and cross-functional risks before they become significant Quality or compliance issues.
Convert complex data into meaningful insights and recommendations for senior decision-makers.
Provide independent Quality oversight and challenge risk assessments, mitigation strategies, control effectiveness, and risk-acceptance decisions.
Establish and monitor risk indicators, thresholds, trends, and escalation criteria.
Support Quality governance, risk-based assurance planning, management reviews, audits, and regulatory inspection readiness.
Track whether mitigation actions are completed and deliver the intended reduction in risk.
Matrix-lead a team of Data Analytics Operations Managers by setting priorities, coordinating capacity, coaching team members, and ensuring consistent delivery.
Work across organizational boundaries to embed proactive, data-driven risk management throughout the business.
Requirements
Master's degree in a scientific discipline with several years of GxP experience within the pharmaceutical industry, CROs, or regulatory authorities; a PhD would be a valuable addition.
Direct Clinical Trials experience is a must (e.g. CRA, Clinical Project Manager)
Demonstrated leadership skills, strategic thinking, and the ability to identify and manage complex business risks.
Strong analytical skills with the ability to interpret data and translate insights into risk mitigation and continuous improvement actions.
Excellent organizational skills and ability to manage multiple priorities and stakeholders in a dynamic environment.
Knowledge of quality management processes and risk-based approaches within regulated environments.
As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package.
Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.
Ready to contact us?
If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com
Recruitment process:
Step 1: Online application - The job posting is presumably online until November 27, 2026. We reserve the right to take the posting offline beforehand.
Step 2: Virtual meetings beginning in December
Step 3: On-site interviews beginning in January
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 241 comparable Manager Data & Digital roles across 56 biopharma companies.
Salary context
88 of 241 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 241 comparable roles
+ 25 more countries
Seniority mix
241 of 241 peers have a known seniority level
Therapeutic area mix
19 of 241 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.