{"id":3162517,"url":"https://alion.io/job/campbell-global-personalization-product-manager-data-platform","title":"Personalization Product Manager – Data Platform","company":{"id":2649833,"name":"Campbell Global","domain":"campbellglobal.com","url":"https://alion.io/company/campbellglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":77,"ghost_share":0.013,"stale_share":0.013,"repost_share":0.078,"time_to_fill_p50_days":9,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Product","role_family":"Product","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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":139000,"max_usd":255000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2544},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Jira","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Grafana","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-25T10:53:39Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.\nAs a Product Manager within the Personalization and Insights Team, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success.\nYou will lead the strategy and execution of machine learning-powered personalization and next-best-action capabilities across mobile, web, contact center, branch, and marketing. You will translate research and analytics into clear roadmaps, partner with data science, machine learning engineering, channel teams, and business stakeholders to prioritize opportunities, design and iterate recommendation, next-best-action, and agentic solutions, run experiments to validate impact, and operationalize scalable, reliable model lifecycle infrastructure-while upholding privacy, consent, and fairness standards.\nJob responsibilities\nPartners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.\nConsiders and plans for upstream and downstream implications of new product features on the overall product experience.\nSupports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers.\nAnalyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.\nWrites the requirements, epics, and user stories to support product development. \nPartner with Channel/Interface teams to define how assistant memory and context are used, and help align on contracts, service levels, and guardrails for safe, reliable experiences.\nSupport machine learning-powered personalization and next-best-action initiatives by helping frame hypotheses, document use cases, and assist with experiment design and impact measurement.\nTranslate user research and analytics into epics, user stories, and acceptance criteria, and manage day-to-day backlog grooming and sprint execution across discovery through launch.\nCoordinate with data scientists and engineers across design, training, evaluation, deployment, and monitoring to ensure requirements are clear and delivery milestones are met.\nContribute to an application programming interface- and event-driven cloud approach by capturing requirements for context/signals and tracking product metrics (engagement, quality, outcomes).\nFollow responsible data practices with risk, privacy, and compliance partners (consent, fairness), and support team ways of working through documentation and continuous improvement.\nRequired qualifications, capabilities, and skills\n5+ years of experience or equivalent expertise in product management or a relevant domain area.\nProficient knowledge of the product development life cycle.\nExperience in product life cycle activities including discovery and requirements definition.\nWorking knowledge of data analytics and data literacy. Familiarity with AWS data lakes, Snowflake, and modern data platforms.\nDeliver customer-facing artificial intelligence products with data science and engineering teams across the model lifecycle.\nBuild data products for agentic assistants (memory, context, signals) and integrate with channel experience teams.\nDeliver personalization and next-best-action for marketing/servicing using experiments and outcome measurement.\nExecute core product practices: discovery, requirements, and backlog management in Jira.\nUse research and metrics to drive roadmaps and deliver on time, cost, and quality.\nCollaborate and influence across product, design, engineering, and business stakeholders.\nAbility to understand and query data sets for analysis or requirements gathering (e.g., using SQL, Python)\nPreferred qualifications, capabilities, and skills\nExperience supporting personalization and decisioning products (recommendations/next-best-action) with hands-on experiment design and measurement.\nFamiliarity with agentic assistant patterns (memory, context, signals) and data products enabling multi-channel customer experiences.\nWorking knowledge of application programming interface-first, event-driven architectures on cloud platforms and production monitoring fundamentals.\nUnderstanding of responsible data and model practices (privacy, consent, fairness) in regulated environments.\nExposure to machine learning or data science concepts \nExperience with tools such as Tableau, Grafana, or similar for documentation and data visualization","description_format":"text","description_chars":4988,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Forest Resources","Asset Management & Funds","Land & Agriculture Property"],"lifecycle":[{"event":"open","at":"2026-10-23T16:31:07Z"}],"visa":[],"liveness":{"score":80,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.888,"p_room":0.9,"age_days":3,"expected_fill_days":9,"reasons":["conf:1","velocity","win:mid","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/campbell-global-personalization-product-manager-data-platform","json_url":"https://alion.io/job/campbell-global-personalization-product-manager-data-platform.json","meta":{"generated_at":"2026-10-25T12:55:41Z","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":18258,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":2649833},"rest":"https://alion.io/mcp/rest/get_company?id=2649833"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcampbell-global-personalization-product-manager-data-platform"},{"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%2Fcampbell-global-personalization-product-manager-data-platform"},{"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%2Fcampbell-global-personalization-product-manager-data-platform"},{"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/campbell-global-personalization-product-manager-data-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcampbell-global-personalization-product-manager-data-platform"}]}