--- title: 'Data Steward - Quality Excellence at AlphaSense' canonical: 'https://feeny.ai/job/data-steward-quality-excellence-alphasense-india-9p7wy63dqp5q' type: 'job' last_seen: '2026-09-17' --- # Data Steward - Quality Excellence at AlphaSense - **Company:** AlphaSense - **Location:** India - **Work type:** remote - **Posted:** 2026-09-17 - **Last confirmed live:** 2026-09-17 - **Apply:** https://job-boards.greenhouse.io/alphasense/jobs/8813482002 ## Job description About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! ## About the Role We are looking for an experienced Data Steward / Senior Data Steward – Quality Excellence to help drive data quality, governance, and operational excellence across our diverse content domains. In this role, you will work horizontally across multiple content areas to establish consistent data quality standards, strengthen governance practices, identify systemic issues, and drive scalable improvements. You will partner closely with Content Operations, Product, Engineering, and Quality teams to ensure our datasets are accurate, complete, consistent, scalable, and fit for customer and AI use cases. This is a highly cross-functional role for someone who enjoys solving complex data-quality problems, bringing structure to ambiguity, and turning insights into sustainable improvements. ## What You'll Do - Establish and maintain data quality standards, business rules, metadata definitions, and taxonomy frameworks across content domains. - Monitor dataset health and quality metrics to identify opportunities to improve accuracy, completeness, consistency, and timeliness. - Investigate recurring data-quality issues and conduct root cause analysis to develop preventive and scalable solutions. - Partner with operational teams to identify systemic issues and implement process improvements. - Develop and maintain quality dashboards, data dictionaries, governance documentation, and standard operating procedures. - Collaborate with product managers to translate operational insights into product requirements and enhancement opportunities. - Partner with engineering teams to define data-quality requirements and support automation initiatives. - Support complex customer escalations and investigations requiring strong domain and data expertise. - Drive cross-functional initiatives focused on content quality, operational efficiency, and scalability. - Promote standardization and best practices across content domains and workflows. - Identify opportunities to leverage AI and automation to improve quality and reduce manual effort. - Serve as a subject matter expert and trusted partner for data quality and governance initiatives. What Success Looks Like In your first 12 months, you will help: - Establish a unified quality framework across content domains. - Implement consistent metadata and taxonomy standards. - Build quality dashboards that provide meaningful visibility into dataset health and quality. - Drive recurring quality issues to root-cause resolution across multiple domains. - Identify and pilot at least one AI or automation opportunity that delivers measurable efficiency gains. - Establish scalable standards and practices that improve both data quality and operational efficiency. ## What We're Looking For - 8+ years of experience in data governance, data quality, content operations, product operations, information management, or a related field. - Demonstrated experience with root cause analysis and cross-functional process improvement. - Experience working with structured and unstructured datasets; experience in financial information services or related industries is preferred. - Strong analytical and problem-solving skills, with the ability to navigate ambiguity and manage multiple priorities. - Excellent collaboration and communication skills, with experience working across Operations, Product, Engineering, and Quality teams. - Experience defining operational metrics, standards, processes, and documentation. - Technical Skills (Preferred): - Lean Six Sigma Green Belt certification. - Familiarity with SQL, BI tools, AI workflows, or metadata management. ## Why This Role This is an opportunity to play a key role in strengthening the quality and governance of datasets that support critical customer and AI use cases. You will have broad cross-functional exposure and the opportunity to influence how data quality is measured, governed, improved, and scaled across the organization. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: - AlphaSense never asks candidates to pay for job applications, equipment, or training. - All official communications will come from an @[alpha-sense.com](http://alpha-sense.com/) email address. - If you’re unsure about a job posting or recruiter, verify it on our [Careers page](https://www.alpha-sense.com/careers/). If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. ## About AlphaSense ## Company Overview - **One-liner**: AlphaSense operates an AI-powered market intelligence and search platform that helps business professionals make faster, more confident decisions by synthesizing insights from a vast library of curated public and private content. - **Entity Type**: Private (Series G, last raised ~1 month ago) - **Headquarters**: New York, NY (441 Ninth Avenue 4th Floor, New York, 10001) - **Founded**: 2011 - **Founders**: Jaakko (Jack) Kokko and Raj Neervannan ## Core Business - **Primary industry/industries**: Market Intelligence, Enterprise AI, Financial Data & Analytics - **Target customers**: B2B – serving Investment Banking, Hedge Funds, Private Equity, Asset Management, Consulting, Life Sciences & Healthcare, Tech/Media/Telecom, Energy, Industrials, Consumer Goods & Retail - **Mission or purpose statement**: “Empower professionals to make smarter business decisions with confidence and speed.” [[glassdoor.com]] ## Products & Services - **AlphaSense Core Search (newest release: AlphaSense X)**: AI-driven search engine that surfaces insights from millions of premium financial and business documents (company filings, broker research, expert transcripts, private data, internal content). Includes generative search with sentence-level citations and no hallucinations. Multi-agent architecture automates repeatable research tasks and synthesizes findings into reports and slides. [[alpha-sense.com]] - **Acquired Assets (Tegus, BamSEC, Canalyst, Sentieo)**: Integrated expert call transcripts, SEC filing analytics, financial models, and quantitative data to deepen the content library. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company); total raised is **$1.747B** (Series G as of mid-2025). [[cbinsights.com]] - **Key Metric**: Total funding of $1.747B. - **Notable Investors/Partners**: Not listed in provided sources; partner recognition includes Cerebras Systems for accelerated AI inference. [[alpha-sense.com/about/]] - **Growth Signals**: Trusted by 7,000+ of the world’s largest enterprises; headcount of 1,001–5,000 employees (Glassdoor); new headquarters in Hudson Yards; multiple acquisitions (Tegus, BamSEC, Canalyst, Sentieo) over the past five years; partnership with Cerebras for faster AI. ## Competitive Advantages - **Curated & exclusive content**: Access to Tegus expert transcripts, broker research, private financial data, and company filings that competitors may lack. - **Trusted AI**: “Sentence-level citations and no hallucinations” – GenAI outputs grounded in reliable sources with full auditability. - **Unified workflow**: Combines discovery, reasoning, and output generation in a single platform – eliminating fragmented tools. - **Patents**: Filed 40 patents related to computational linguistics, natural language processing, and data management. [[cbinsights.com]] ## Strategic Focus - **Next-generation Generative Search**: Multi-agent architecture that automates research tasks and produces executive-ready reports. - **Content expansion**: Continues to acquire and integrate high-value data sources (expert transcripts, financial models, etc.). - **AI reliability**: Emphasizing hallucination-free outputs and sentence-level citations to maintain trust with decision-makers. ## Why Work Here - **Culture**: Described as “product-led, growth mindset, people first.” Emphasis on empathy, inclusion, psychological safety, and work-life balance. [[alpha-sense.com/careers/]] - **Benefits**: Comprehensive medical coverage, mental health support, wellness programs, retirement plans, stock options, financial consulting, generous time-off, volunteering opportunities, and family-friendly programs. - **Growth**: Continuous learning, mentorship, leadership access, and career mobility across teams and regions. - **Work environment**: “You’ll be surrounded by smart, supportive teammates” – autonomy with collaboration, fast-moving, trust-based. Offices in 7 locations; hybrid/remote policy not explicitly stated in provided sources. ## Sources 1. [alpha-sense.com](https://www.alpha-sense.com/) 2. [alpha-sense.com/careers/](https://www.alpha-sense.com/careers/) 3. [alpha-sense.com/about/](https://www.alpha-sense.com/about/) 4. [glassdoor.com](https://www.glassdoor.com/Overview/Working-at-AlphaSense-EI_IE1664354.11,21.htm) 5. 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