{"id":3334642,"url":"https://alion.io/job/bayer-customer-data-readiness-ops-specialist","title":"Customer Data Readiness Ops Specialist","company":{"id":671164,"name":"Bayer","domain":"bayer.com","url":"https://alion.io/company/bayer-7","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":14,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T13:16:41Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T02:21:07Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.\nCustomer Data Readiness Ops Specialist\nPurpose:\nThe Customer Data Readiness Specialist is a hands-on operational role focused on preparing fragmented, eCommerce and consolidated customer data for reliable business use. The role’s primary accountability is to prepare and improve customer data so it can be reliably integrated, consolidated and used across business, analytical and AI-enabled capabilities. This includes hands-on data profiling, quality assessment, mapping, harmonization, documentation and source readiness.\nThe role prepares, structures and quality-assures customer data, while partnering with Data Engineering on technical implementation and with Customer Data Stewards on standards and governance. It works directly with source data to identify and resolve quality issues, align customer attributes and definitions, support matching and consolidation, and ensure that data is structured and documented for dependable downstream use.\nBy improving the quality, structure and documentation of customer data, the role enables reliable analytics, segmentation, customer intelligence, customer engagement and AI-enabled use cases.\nScope (global, regional or local):\nGlobal\nKey Responsibilities\nPrepare and maintain fragmented, eCommerce and consolidated customer data, ensuring it is complete, accurate, consistent and usable.\nProfile customer data to identify structural, completeness, consistency and quality issues, and translate findings into clear remediation requirements.\nMap and harmonize customer attributes, definitions, identifiers, hierarchies and classifications, and document the required transformation rules across local and enterprise sources.\nPerform and support customer matching, deduplication and consolidation activities that contribute to trusted and consolidated customer records while respecting legitimate local requirements.\nApply and monitor customer data quality rules, investigate root causes and coordinate sustainable remediation with source owners and relevant teams.\nOnboard and validate new customer data sources, including fragmented local and eCommerce sources, by assessing structure, quality, mappings and readiness for integration and downstream use.\nPrepare customer data for analytics, segmentation, customer intelligence, customer engagement and AI-enabled use cases by ensuring it is trusted, structured and well documented.\nMaintain practical documentation covering customer data definitions, mappings, lineage, quality rules, source details and operational procedures.\nSupport markets and Customer Data Stewards in applying agreed standards and improving local customer data readiness, while partnering with Data Engineering on technical implementation.\nDrive continuous improvement by simplifying recurring data-readiness and quality activities and using appropriate automation or AI tools where they add practical value.\n\nKey Working Relationships\nCustomer Data Domain Lead\nCustomer Data Stewards\nLocal / Regional I&A teams\nData Engineering teams\nData Science / Analytics teams\nCRM / Customer Engagement teams\neCommerce teams\nCommercial / Sales teams\nEnterprise data-product teams\nIT / Architecture\nExternal customer-data providers\nI&A Home\nQualification & Competencies:\nBachelor's degree in Business, Data Analytics, Information Management, Computer Science or a related field.\n8-12 years of relevant experience in customer data, CRM data, master data, data quality, data operations, eCommerce data or related areas.\nHands-on experience working with customer data from multiple systems and sources.\nHands-on experience profiling customer data, identifying structural and quality issues, and translating findings into actionable remediation requirements.\nExperience with customer data quality, mapping, harmonization, matching and deduplication.\nUnderstanding of customer master-data concepts, customer hierarchies and trusted or consolidated customer records.\nExperience with CRM and/or eCommerce customer data.\nStrong analytical and problem-solving skills, including systematic investigation and resolution of data issues.\nAbility to translate between business meaning and data structure.\nFamiliarity with SQL, advanced Excel and BI/data tools.\nExperience maintaining data definitions, mappings, quality rules and operational documentation.\nUnderstanding of how trusted, structured customer data supports analytics, segmentation, customer intelligence, customer engagement and AI-enabled use cases.\nAbility to use appropriate automation or AI tools to support profiling, validation, mapping and documentation.\nStrong stakeholder-management and communication skills, with the ability to work effectively across cultures and functions.\nDetail-oriented, proactive and comfortable working across markets and functions in a global, matrixed environment.\nFluent English required; additional languages are a plus.\n\nYOUR APPLICATION\n\nBayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination.\n\nLocation:\nIndia : Karnataka : Bangalore \n\nDivision:\nEnabling Functions \n\nReference Code:\n894501 \n\n Contact Us\n\n+ 022-25311234","description_format":"text","description_chars":5916,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Crop Protection","OTC & Consumer Health Products"],"lifecycle":[{"event":"open","at":"2026-10-27T13:16:41Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.898,"p_room":1,"age_days":3,"expected_fill_days":11,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/bayer-customer-data-readiness-ops-specialist","json_url":"https://alion.io/job/bayer-customer-data-readiness-ops-specialist.json","meta":{"generated_at":"2026-10-31T23:03:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":35963,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":671164},"rest":"https://alion.io/mcp/rest/get_company?id=671164"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbayer-customer-data-readiness-ops-specialist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbayer-customer-data-readiness-ops-specialist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbayer-customer-data-readiness-ops-specialist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bayer-customer-data-readiness-ops-specialist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbayer-customer-data-readiness-ops-specialist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3334642}},{"tool":"search_jobs","arguments":{"company":"bayer.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3334642},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}