{"id":1950238,"url":"https://alion.io/job/intuit-senior-manager-data-science","title":"Senior Manager, Data Science","company":{"id":16628,"name":"Intuit","domain":"intuit.com","url":"https://alion.io/company/intuit","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":75,"open_postings":84,"ghost_share":0,"stale_share":0.976,"repost_share":0.012,"time_to_fill_p50_days":31,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":"full_time","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":21000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-06T09:40:02Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-13T08:24:40Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"The Intuit Customer Success (ICS) Data Science & Analytics team is seeking a Manager 2, Data Science to lead product analytics for the platform that connects customers with our experts: how customers are routed and matched to the right expert, and how the knowledge and AI-powered tools experts use shape the outcome.\nThis is a player-coach role. You will lead a small team of analysts and data scientists while spending a material part of your time staying hands-on in the data yourself, and you will be the analytics voice in the room with product managers and product development leaders, defining what 'good' looks like before a feature ships and what evidence a change must produce to earn a rollout.\nResponsibilities\nOwn the product analytics framework for the expert platform (event taxonomy, instrumentation requirements, adoption and funnel measurement), spanning how customers are matched to experts and how experts use the knowledge and AI tools available to them.\n\nDefine the outcome metrics that make matching and tooling decisions comparable: time to connect, first-contact resolution, transfer and re-contact rate, satisfaction, conversion, and expert efficiency.\n\nSize initiatives before they are built; turning product problem statements into measurable impact estimates from behavioral data, separating total from achievable opportunity, and using those estimates to stack-rank the roadmap with product partners.\n\nDesign and run the experimentation program, including the designs this domain requires: switchback, cluster-randomized, and interference-aware tests where routing one customer changes what is available to the next.\n\nApply causal inference (difference-in-differences, propensity score, synthetic control, instrumental variables) to isolate product impact from shifts in demand mix, staffing, and seasonality.\n\nTrack every launch after it ships: confirm the sized impact actually materialized, monitor it over time, and catch regressions before the business feels them.\n\nEvaluate AI-driven experiences, including matching and ranking models as well as retrieval and knowledge tools, against both offline quality benchmarks and online behavioral outcomes.\n\nPartner directly with product managers, product development leaders, and engineering on roadmap, launch readiness, and post-launch learning, as an equal voice rather than a reporting function.\n\nDrive data enablement for the domain: gap assessments, instrumentation requirements handed to engineering, metric definitions, data quality monitoring, and self-serve reporting.\n\nSet the technical bar for the team, review work in detail, and coach on both method and business framing.\n\nQualifications\n7+ years of analytics and data science experience, with meaningful depth in product analytics for a software or AI product.\n\nExperience leading and developing analysts and/or data scientists while continuing to contribute hands-on.\n\nDemonstrated partnership with product management and engineering leaders through a full product lifecycle: discovery, launch, evaluation, and iteration.\n\nExperience sizing opportunities to prioritize a product roadmap\n\nHands-on experimentation design and analysis, including guardrail metrics, variance reduction, and non-standard designs such as switchback or cluster-randomized tests.\n\nHands-on causal inference experience, with sound judgment about when each method applies.\n\nExperience measuring AI, search, recommendation, or retrieval-based systems beyond accuracy alone.\n\nExperience defining event instrumentation from scratch and driving it through an engineering roadmap.\n\nProficient with SQL and Python; experience applying AI and generative AI tooling to accelerate analysis.\n\nOutstanding communication with technical and non-technical audiences, able to make a crisp recommendation under uncertainty.\n\nBachelor's or Master's degree in a quantitative field.\n\nIntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.","description_format":"text","description_chars":4417,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Personal Finance Apps & Education","Accounting & Tax Software","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-06T09:40:02Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":6,"expected_fill_days":31,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/intuit-senior-manager-data-science","json_url":"https://alion.io/job/intuit-senior-manager-data-science.json","meta":{"generated_at":"2026-10-13T09:55:15Z","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":15046,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":16628},"rest":"https://alion.io/mcp/rest/get_company?id=16628"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintuit-senior-manager-data-science"},{"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%2Fintuit-senior-manager-data-science"},{"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%2Fintuit-senior-manager-data-science"},{"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/intuit-senior-manager-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintuit-senior-manager-data-science"}]}