Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 1 hour agoWe saw it 30 min after it went up

R&D Data Product Manager

Astellas104 open roles

Where
Bengaluru, IND
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowR&D Data Product ManagerAstellas · Bengaluru, IND

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Astellas's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Astellas postings stay open a median of 8 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 1 hour ago

Astellas median: 8 days open

The posting

Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com (https://www.astellas.com/en) Are you driven to make a real difference in the lives of patients? We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.

Purpose and Scope:

The R&D Domain Data Product Manager develops recommendations for and activates the approved data product strategy for an assigned biopharma R&D domain. Working with the Data Domain Owner and scientific, clinical, data, architecture, governance, engineering and platform stakeholders, the role identifies high-value user and business needs and translates them into a coherent portfolio of reusable data products. It establishes proposed product boundaries, value hypotheses and roadmaps, incorporates quality and governance expectations defined with data stewards and relevant specialists, and recommends investment priorities for approval by the Data Domain Owner. The role owns domain-level product discovery, portfolio prioritization recommendations, product mobilization and cross-product dependency management within approved priorities and investment guardrails. It coordinates validation of scientific relevance and consumer needs with scientific and clinical stakeholders; technical feasibility and interoperability with architecture, modeling, engineering and platform teams; and quality, governance, privacy and analytical and AI-use readiness with data stewards, governance specialists and relevant privacy and technical authorities. Once a product is approved and sufficiently defined, detailed delivery and lifecycle accountability transitions to a designated Data Product Owner. The Domain Data Product Manager retains responsibility for domain-wide portfolio coherence, cross-product dependencies, portfolio-level value tracking, identification of reuse opportunities and alignment with the approved domain strategy.

Responsibilities and Accountabilities:

  • Partner with the Data Domain Owner to translate domain outcomes, use cases, investment priorities, and OKRs into a clear domain data product vision, roadmap, and strategic backlog.
  • Establish and continuously refine a prioritized domain backlog covering candidate data products, domain blueprint work, source dependencies, data contracts, governance needs, and enabling platform capabilities.
  • Work with the Domain Data Architect and Domain Data Modelers to develop and maintain the domain blueprint, product decomposition, canonical/semantic modeling priorities, interoperability needs, and reusable architecture patterns.
  • Facilitate use-case decomposition into required data products, MVP boundaries, capabilities, sequencing, business value hypotheses, and measurable success criteria.
  • Coordinate demand intake, opportunity evaluation, value/effort prioritization, dependency mapping, and escalation of cross-domain or platform constraints; make trade-offs transparent to the Domain Owner.
  • Maintain a consolidated view of domain initiatives, product status, backlog readiness, delivery milestones, capacity assumptions, risks, decisions, and strategic dependencies.
  • Engage the Foundation Data Platform team to align on source availability, ingestion needs, technical readiness, shared standards, and planned capability changes without taking ownership of platform engineering.
  • Partner with Data Governance Specialists and stewards to embed ownership, business glossary, metadata, data quality, lineage, contract, certification, privacy, and AI-readiness expectations into domain planning.
  • Define product initiation and handoff criteria; identify and onboard the accountable Data Product Owner before detailed product delivery begins.
  • Transition each approved product's delivery backlog, acceptance criteria, releases, consumer engagement, adoption, and ongoing lifecycle management to its Data Product Owner; provide portfolio-level coordination thereafter.
  • Facilitate domain planning, backlog refinement, roadmap reviews and cross-team dependency forums with Core and Value Teams.
  • Serve as Value Team (VT) captain to align team objectives with approved domain priorities, facilitate planning and progress reviews, coordinate commitments and dependencies, and escalate risks and decisions.
  • Where assigned, perform Scrum Master responsibilities, including facilitating Scrum events, supporting impediment resolution, coaching the team in Scrum practices and enabling continuous improvement.
  • Monitor domain-level business value, roadmap progress, adoption, reuse, and bottlenecks; recommend adjustments and improvements to the operating model and ways of working.
  • Support cross-domain alignment and portfolio scaling while preserving the Data Domain Owner's authority over outcomes, investments, and major prioritization decisions.
  • When required, provide Business Analyst (BA) support during discovery and mobilization by eliciting user needs, analyzing business processes, and developing requirements, user stories and initial acceptance criteria with stakeholders and the designated Data Product Owner.

Required Qualifications:

  • Bachelor's or master’s degree in information systems, Data Science, Computer Science, Life Sciences, or a related discipline.
  • Seven or more years of relevant experience, including at least three years directly defining or managing data, analytics, platform, scientific-informatics or AI-enabled products
  • Demonstrated experience translating business outcomes and use cases into roadmaps, strategic backlogs, product definitions, and phased delivery plans.
  • Experience facilitating prioritization, managing cross-team dependencies, and coordinating stakeholders across business, architecture, governance, platform, and engineering teams.
  • Understanding of domain-oriented data products, data contracts, canonical models, metadata, governance, and medallion architecture.
  • Working knowledge of scientific and regulated-data principles, including provenance, traceability, FAIR practices, privacy by design and, where applicable, GxP and ALCOA+ expectations.
  • Strong facilitation, communication, executive storytelling, negotiation, and Agile/product delivery skills.

Preferred Qualifications

  • Broader experience across multiple pharmaceutical or biotechnology R&D functions and data domains.[MCR7.1]
  • Experience with scientific, clinical, operational, safety or regulatory data products and AI-enabled R&D use cases.
  • Experience with federated or data-mesh operating models, domain blueprints, product certification and enterprise governance.
  • Familiarity with Databricks, Unity Catalog, Jira or Azure DevOps, metadata and catalog platforms, product analytics, SQL or business-intelligence tools.
  • Experience defining responsible-AI, model-evaluation, data-suitability or AI-observability requirements in regulated or high-impact settings.
  • Experience incorporating privacy, security, cross-border data-use constraints and purpose-based access requirements into global data-product planning.
  • Experience leading global, geographically distributed teams and organizational change.

What awaits you at Astellas?

Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide.

Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.

Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.

A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.

Our Organizational Values and Behaviors

Values: Innovation, Integrity and Impact sit at the heart of what we do.

Behaviors: We come together as ‘One Astellas, working with courage and a sense of urgency . We are outcome focused and consistently take accountability for our personal contribution.

"Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help”

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Astellas's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Astellas's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Astellas's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.