Spclst , Domain Enablement Analyst at Merck Sharp & Dohme Corp. /Netherlands

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, SQL, Data Architecture, Data Governance, Data Management, Oracle RDBMS, Databricks, JIRA, Git, Data Modeling, Business Analysis, Metadata Curation, Regulatory Compliance, Quality Management, Project Management, Communication Skills

Industry

Pharmaceutical Manufacturing

Description

Job Description The Opportunity : Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview : Evaluate the business impact of data quality, resolve domain data issues and inquiries, curate business metadata for discoverability, and monitor adherence to business rules. Partner with governance and downstream teams to prioritize remediation and ensure datasets are accurate, understandable, and fit for business use. This position is based in our Hyderabad location, and we follow a hybrid work policy. What will you do in this role: Primary job responsibilities include: Business Impact Monitoring and Prioritization Assess how domain quality affects key outcomes (e.g., time-to-market, fulfillment accuracy, margin, regulatory compliance, customer experience). Quantify impact using clear metrics and scorecards; prioritize remediation based on business value, risk, and urgency. Communicate findings, trade-offs, and recommendations via concise reports and dashboards to product, supply chain, commercial, and finance stakeholders. Issue Resolution and Business Inquiries Investigate and resolve disputes related to domain definitions, ownership, lineage, and completeness/accuracy. Manage intake and triage of ad hoc inquiries from business users; provide timely, well-documented responses with root-cause analysis and actions. Drive cross-functional resolution through governance forums; maintain decision logs and track follow-ups to closure. Business Metadata Cataloguing and Curation Curate and maintain business metadata for datasets: context, definitions, descriptions, owners/stewards, usage notes, quality expectations, and authoritative sources. Ensure datasets are discoverable and understandable in the enterprise catalog; keep entries current with versioning and change histories. Align semantic definitions, classifications, and hierarchies with enterprise MDM standards and enterprise taxonomies. Business Rule Adherence and Governance Collaboration Collaborate with governance/capability teams to define, monitor, and report on product business rule application (validation rules, identifier standards, hierarchy integrity, versioning/variant rules). Track violations and exceptions; coordinate remediation plans, waivers, and timelines with accountable owners. Provide periodic compliance summaries and escalate systemic issues through governance channels. Measurement, Reporting, and Continuous Improvement Create and maintain dashboards for product domain health (data quality scores, rule adherence, issue backlog, time-to-resolution, business impact realized). Identify trends and recurring issues; recommend improvements to data capture, processes, and controls (e.g., DQ rules, validations, workflow changes). Update playbooks, FAQs, and guidance to reduce future inquiries and improve self-service and literacy. Education Minimum Requirement: Bachelor of Science (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, MBA, or an equivalent scientific/commercial discipline within the pharmaceutical industry. Required Experience and Skills: Strong business acumen with a keen ability to understand how data can be leveraged to inform critical enterprise decisions and actions. (3+ years). Proven ability to analyse and assess the value of data assets. Proven potential to effectively collaborate with a broad range of internal and external stakeholders. Intellectual curiosity and ability to identify innovative approaches to addressing data needs. Excellent presentation, analytics, and communication skills, both written and oral, are required to synthesize key issues and communicate/persuade constituencies towards specific actions and initiatives. Ability to operate in dynamic, transforming environment. Strong experience in data management (Data analysis, Data architecture, Data Modelling) Strong experience of SQL, AWS cloud services (S3, EC2, RDS, Redshift), Oracle RDBMS, JIRA, Git, Databricks Strong organizational, time management and project management skills Self-motivated, proactive, with ability to work independently with minimum direction. What should you have: Experience with data management (Data analysis, Data architecture, Data Modelling). Experience with SQL, AWS cloud services (S3, EC2, RDS, Redshift), Oracle RDBMS, JIRA, Git, Databricks. Ability to ensure datasets are discoverable and understandable in the enterprise catalog. Exposure of maintaining AI ready datasets and applying AI tools in the governance of data. Desired/Optional Technology Exposure: Ability to work both independently and collaboratively within a geographically dispersed team Ability to learn and use new technologies Ability to manage through complexity and ambiguity along with competing priorities. Experience defining & maintaining AI ready datasets and applying AI tools in the governance of data Experience with data governance and data quality Entrepreneurial spirit, motivated by uncovering new opportunities to add value to the organization. Who we are: We are in the United state Rahway, New Jersey, USA in the United States and Canada everywhere else. For more than a century, we have been inventing for lives, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for: Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Required Skills: Amazon Web Services (AWS), Business Decisions, Computer Science, Data Architecture, Data Governance, Data Management, Governance Management, Information Systems Management, Management Information Systems (MIS), Oracle Business Intelligence Applications, Oracle Database, Pharmaceutical Management, Privacy Compliance, Quality Management, Regulatory Compliance, Technical Advice, Time Management, Waterfall Model Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Job Posting End Date: 05/22/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Our company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified our legacy for over a century. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

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Responsibilities

Evaluate the business impact of data quality and resolve domain data issues to ensure datasets are accurate and fit for business use. Curate business metadata for discoverability and monitor adherence to business rules through collaboration with governance teams.