{"id":1954725,"url":"https://alion.io/job/pick-n-pay-data-product-manager","title":"Data Product Manager","company":{"id":1867558,"name":"Pick n Pay","domain":"pnp.co.za","url":"https://alion.io/company/pnp-co-za","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":14,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cape Town, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":68000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3609},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false}],"status":"live","first_seen_at":"2026-10-06T11:49:49Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-12T03:36:31Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"It's fun to work in a company where people truly BELIEVE in what they're doing!\nThe Data Product Manager is responsible for owning, shaping, and delivering data products that create measurable business value for the retail organisation. This role serves as the primary bridge between business stakeholders and data, analytics, and data science teams - translating commercial priorities, operational challenges, and strategic questions into well-defined data and analytical solutions. The Data Product Manager ensures that data initiatives are grounded in genuine business need, clearly scoped, and delivered in a way that drives adoption and tangible outcomes, while maintaining fast delivery, high standards of data quality, usability, and governance.Minimum Qualifications\nBachelor’s degree in Information Systems, Business, Analytics, Commerce, or a related field (or equivalent practical experience).\nProject Management certification or equivalent (Agile certification preferred).\nMinimum Experience\n5+ years’ experience in a data, analytics, business intelligence, or technology environment.\nProven track record in a role that required translating business needs into data or analytical outputs - e.g. Business Analyst, Data Product Owner, Analytics Lead, or similar.\nExperience working directly with senior business stakeholders and managing competing priorities across multiple domains.\nDemonstrated experience delivering complex, cross-functional initiatives in a large organisation.\nRetail industry experience strongly advantageous.\nTechnical & Tooling Exposure (Advantageous)\nFamiliarity with data warehousing, BI, and analytics platform concepts.\nExposure to data science and advanced analytics solution types (e.g. segmentation, forecasting, recommendation).\nExposure to cloud data platforms and modern analytics stacks.\nUnderstanding of data governance, privacy, and security principles.\nFamiliarity with Agile delivery tools and ways of working.\nCompetencies\nData Product Management: Ability to define product vision, prioritise roadmaps and backlogs, and ensure data products deliver measurable business value.\nBusiness & Data Acumen: Strong understanding of business processes and the ability to translate complex business challenges into practical data and analytical solutions.\nStakeholder Engagement & Influence: Builds trusted relationships with business and executive stakeholders, manages competing priorities and influences decisions across multiple domains.\nRequirements Analysis & Translation: Ability to facilitate discovery, clarify ambiguous requirements and translate business needs into clear briefs for data, analytics and technology teams.\nStrategic & Commercial Thinking: Connects data initiatives to strategic objectives, commercial priorities and measurable business outcomes.\nDelivery & Project Management: Strong ability to coordinate complex, cross-functional initiatives, manage scope, timelines, dependencies and risks, and drive delivery to completion.\nPrioritisation & Decision-Making: Makes pragmatic, value-driven decisions when balancing business demand, capacity, dependencies, risk and competing priorities.\nData Governance & Quality: Understands and promotes data governance, privacy, security, data quality and consistent data definitions.\nCommunication & Facilitation: Communicates complex concepts clearly to technical and non-technical audiences and facilitates productive decision-making and discovery sessions.\nValue Realisation & Continuous Improvement: Measures adoption, usage and business impact and uses stakeholder feedback and data to continuously improve data products and outcomes.\nCollaboration & Leadership: Works effectively across data engineering, analytics, data science, architecture and business teams, creating alignment around shared outcomes.\nData Literacy & Digital Fluency: Understands modern data, BI, analytics and data science concepts sufficiently to shape solutions and engage credibly with technical specialists.\nKey Responsibilities\n1. Business Engagement & Requirements Translation\nAct as the primary point of engagement for business stakeholders across retail domains including Commercial, Store Ops, Supply Chain, Finance, Marketing, Smart Shopper, Clothing, Omnichannel and others.\nProactively engage with business leaders and domain experts to surface data needs, untangle complex problems, and identify opportunities for analytical value.\nFacilitate structured discovery sessions and working sessions to define business questions, success criteria, and the shape of required solutions.\nTranslate ambiguous business challenges into clear, well-defined briefs for data engineering, reporting, analytics, and data science teams - spanning dashboards, analytical models, data products, and data science outputs.\nServe as the voice of the business within the data team, and the voice of data capability back to the business.\n2. Data Product Ownership\nOwn the vision, roadmap, and prioritised backlog for assigned data products.\nFacilitate prioritisation and capacity planning with Senior Managers and Exec in Data division\nAct as the single point of accountability for the value delivered by each data product.\nEnsure data products are fit for purpose, adopted by end users, and deliver measurable business outcomes.\nContinuously refine priorities based on business value, dependencies, and team capacity.\nDefine and monitor success measures, KPIs, and adoption metrics for each product.\n3. Stakeholder Management & Communication\nManage stakeholder relationships across operational and executive levels, balancing competing priorities across multiple domains.\nMaintain clear, proactive communication on progress, risks, timelines, and trade-offs.\nBuild trusted relationships that enable honest conversations about what data can and cannot deliver.\nChampion data literacy and the value of evidence-based decision-making across business teams.\n4. Delivery Coordination\nPlan and manage delivery across multiple data initiatives, including scope, timelines, risks, and dependencies.\nCoordinate work across data engineers, analysts, data scientists, and external partners where applicable.\nTrack delivery progress and ensure milestones and deadlines are met.\nProactively identify and manage risks, issues, and scope changes.\nApply pragmatic delivery processes appropriate to the initiative and business area, whether Agile or other project delivery approaches.\n5. Data Governance & Quality\nEnsure data products comply with data governance, privacy, and security standards.\nCollaborate with data governance and architecture teams to align solutions with enterprise standards.\nDefine and monitor data quality metrics relevant to each product.\nChampion consistent metric definitions, data definitions, and documentation.\n6. Value Realisation & Continuous Improvement\nTrack adoption, usage, and business impact post-delivery.\nDrive continuous improvement based on user feedback, stakeholder input, and performance data.\nIdentify opportunities to enhance or extend existing data products over time.\nClosing Date: 20 October 2026\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nDiscover who we are","description_format":"text","description_chars":7233,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-10-06T11:49:49Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":29,"reasons":["conf:3","stale_co","velocity","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/pick-n-pay-data-product-manager","json_url":"https://alion.io/job/pick-n-pay-data-product-manager.json","meta":{"generated_at":"2026-10-12T06:11:16Z","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":9904,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":1867558},"rest":"https://alion.io/mcp/rest/get_company?id=1867558"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpick-n-pay-data-product-manager"},{"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%2Fpick-n-pay-data-product-manager"},{"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%2Fpick-n-pay-data-product-manager"},{"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/pick-n-pay-data-product-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpick-n-pay-data-product-manager"}]}