Spclst , Domain Enablement Analyst
at Merck
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Job DescriptionThe 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 PrioritizationAssess 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 InquiriesInvestigate 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 CurationCurate 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 CollaborationCollaborate 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 ImprovementCreate 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, DatabricksStrong organizational, time management and project management skillsSelf-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:Abil
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