Specialist - Discovery Solutions PM Operations
发布于 大约 2 个月前普通员工/个人贡献者
AI 估算 · 15k–25k
班加罗尔生命科学领域，3-6年经验，跨国企业，薪资具竞争力。
职位详情
关于这个职位
This role supports Discovery Solutions product lifecycle management by collaborating with cross-functional teams. You will handle master data, product setup, portfolio initiatives, and project management support. Ideal for Life Sciences postgraduates with 3-6 years of experience.
最低要求
Postgraduate in Life Sciences from a reputed University. 3-6 Years in Scientific Industry. Scientific Knowledge – In Depth Proficiency and functional command expected over Life science subject. Understanding of roles and responsibilities of Business Operations. In depth Proficiency with internet and e-mail. Very Good skills in Office 365 tools (Excel, Teams, Outlook, SharePoint) and ability to set up complex database queries. Good skills in Data analytics tools (Power BI, Tableau, Python, Palantir) and ability to analyze business reports.
工作职责
Supports Product Life Cycle Management as per the business requirements. Review product setup completeness, Master data completeness and correctness. Support master data management including data review, data cleansing, data enrichment and data consistency checks. Review PIM data compilation and data cleansing. Trouble shoot Web PDP data. Support Portfolio initiatives like Back-order clearance, Global extension and Lost source trouble shooting. Project Management Support – supporting the PMO (creating dashboards, collecting all needed data, setting up meetings, sending reminder, etc.). Meeting the SLA and TAT as per the agreed guidelines with the Stakeholders. Accountable for meeting and maintaining defined standards for quality and productivity. Ensure that internal customer's requirements are met on timely basis. Demonstrate good process knowledge within the process on all the activities. Support the team with Efficiency gains through various Process improvement projects. Assist Manager and Team with ISO and other additional activities. This position has no supervisory responsibility nor require any Business Travel.
优先资格
Good oral and written communication skills. Good organizational skills. Good decision-making skills. Proficient in Problem solving, Planning & execution.
AI 洞察
优缺点分析
优点
- Work for a global leader in Healthcare, Life Science, and Electronics with strong brand reputation.
- Exposure to end-to-end product lifecycle management and cross-functional collaboration.
- Opportunity to develop data analytics and project management skills.
- Role involves operational tasks like data entry and reporting – may lack deep technical innovation.
- No supervisory responsibility, limited career advancement scope without lateral moves.
- Candidates with a Life Sciences background who enjoy structured operational work and want to gain exposure to product management and business operations.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to Senior Specialist or Team Lead within Discovery Solutions Operations.
- Transition to Product Management or Project Management roles in the Life Sciences industry.
- Develop expertise in master data management and business intelligence analytics.
- Manage product lifecycle data including master data completeness and quality.
- Support portfolio initiatives like back-order clearance and global extensions.
- Provide project management support by creating dashboards, collecting data, and coordinating meetings.
- Ensure SLA and TAT adherence, and drive process improvement projects.
- Strong proficiency in Office 365 tools (Excel, Teams, Outlook, SharePoint) and data analytics tools (Power BI, Tableau, Python, Palantir).
- In-depth understanding of Life Sciences concepts and business operations.
- Excellent organizational, problem-solving, and communication skills.
- Ability to work cross-functionally and manage multiple tasks under agreed timelines.
申请策略
- Customize your resume to reflect familiarity with scientific industry operations and attention to detail.
- Prepare to discuss examples of process improvement and cross-functional collaboration.
- Highlight your Life Sciences postgraduate degree and relevant industry experience (3-6 years).
- Emphasize proficiency in Office 365 and data analytics tools (Power BI, Tableau, Python).
- Showcase any experience with master data management, product lifecycle management, or project support.
- Strengthen your skills in Power BI or Tableau to build complex dashboards.
- Learn basic Python scripting for data manipulation and automation.
面试指南
- Use the STAR method (Situation, Task, Action, Result) for behavioral questions.
- Demonstrate technical competency by mentioning specific tools and how you used them to solve problems.
- Show understanding of the role’s operational nature and your ability to maintain quality and meet deadlines.
- Can you explain how you would handle a master data discrepancy in a product database?
- Describe a time you improved a business process or project efficiency.
- How do you prioritize tasks when supporting multiple product managers?
- What data analytics tools have you used, and how did you apply them to business reports?
- Why are you interested in the Life Sciences industry and this role specifically?
职位点评
Stable multinational role with market compensation, but limited WLB flexibility and modest growth signals.
从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。
薪资福利
Merck is a multinational with competitive compensation, but the role is in Bangalore, which has moderate cost of living. Salary is likely at market level.
成长发展
The role offers exposure to product lifecycle and project management, but growth signals are limited. No explicit promotion path mentioned.
工作生活
Office-based role in Bangalore; no mention of remote work or flexible hours. Typical office environment.
使命价值
Working in Healthcare and Life Sciences, the role indirectly contributes to improving lives. However, the position is operational, not directly impactful.