Advanced Analytics & AI Technical Product Lead | Staff-Non line manager| IT Marketing & Sales Japan (Shinagawa, Japan, Tokyo)
About this opportunity
Description
At Boehringer Ingelheim IT Marketing & Sales and Data Driven Customer Insights organization, we leverage data, AI and advanced analytics to deliver innovative technology solutions that improve the lives of patients and animals. We are seeking a senior, strategic, and influential Advanced Analytics & AI Technical Product Lead to drive Japan’s AI and data-driven transformation agenda, co-creating, reliable, user-centric technology solutions that create measurable business value.
In this role, you will overarch advanced analytics, machine learning and AI solutions across Commercial and Medical in Japan, collaborating closely with the Product Owner, internal IT engineering teams, and external delivery partners. You will work with skilled IT professionals to turn complex business needs into enterprise-grade solutions while maintaining stakeholder alignment, a strong product vision, and delivery excellence.
This position is based in Japan, with hybrid work aligned to local policies.
Duties & Responsibilities:
Partner with business leaders to understand Japan-specific priorities and opportunities addressable through data, advanced analytics and AI. Translate complex business needs into product roadmaps, technical requirements, data models, and AI/ML solution designs.
Lead end-to-end delivery of AI and advanced analytics project and solutions working with local, global teams and external partners. Oversee solution architecture, data pipelines, model deployment, MLOps/DevOps, and lifecycle management.
Collaborate with the Product Owner on product vision, demand intake, prioritization, and release planning.
Manage Japan’s AI/data portfolio, including demand, capacity, vendors, and reporting. Engage stakeholders across Commercial, Medical and communicate complex technical concepts in clear business language.
Ensure enterprise governance, regulatory compliance, and adherence to BI architecture standards.
Requirements:
Bachelor’s/Master’s in Computer Science, Data Science, Engineering, Business, or related field.
8–12+ years of experience in IT, data, analytics, or AI/ML roles, preferably in pharma and international, multicultural environments.
Proven technical product/project leadership experience and system thinking, managing internal engineering teams and vendors to deliver solutions.
Strong knowledge of AI/ML, analytics, data platforms, cloud architectures. Understanding of data governance, MLOps/DevOps, system design, enterprise architecture.
Strong business acumen and domain knowledge to effectively identify not only the value of data & analytics in the business context, but also the impact of technology and algorithms.
Long term experience in engaging and influencing senior stakeholders in Japan with strong communication and storytelling skills with a proven ability to understand technical jargon and translate it accurately in business language.
Strong networker who gives direction and drives for decisions, brings people together while always keeping the customer in mind. Demonstrated Agile mindset and experience working in DevOps products teams.
Fluency in Japanese and English.
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Job details
How this role compares
Computed from every other active Sales role in our database, not just this employer's listings.
We currently track 436 comparable Manager Sales roles across 63 biopharma companies.
Salary context
85 of 436 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 436 comparable roles
+ 40 more countries
Seniority mix
436 of 436 peers have a known seniority level
Therapeutic area mix
123 of 436 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.
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.