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Senior Technical Product Manager - Analytics(m/w/x)
Defining features for Analytic Studio and Report Center, managing Data Services roadmaps at a conversational AI platform. 7+ years product management for SaaS analytics products, with deep data warehousing knowledge required. 20% deferred pension contribution, ESPP, annual bonus.
Anforderungen
- Bachelor's degree in Computer Science, Engineering, Business, or related field (MBA preferred)
- 7+ years product management experience with SaaS analytics/reporting products
- Deep understanding of data warehousing, BI tools, reporting systems, high-scale data processing, event-driven architectures, cloud infrastructure
- Proven ability to develop/execute product strategy for data/analytics products, prioritize features, drive roadmap planning in agile environment
- Strong analytical skills for data interpretation, trend identification, data-driven decisions
- Excellent communication, collaboration, leadership skills to influence cross-functional teams
- Experience with enterprise customers on reporting/analytics needs, strong customer focus, empathy for data consumption pain points
- Passion for innovation, creativity, solving complex data/reporting challenges
Aufgaben
- Develop and articulate product vision and strategy.
- Empower customers and internal teams with actionable insights.
- Define, review, and prioritize features for Analytic Studio and Report Center.
- Ensure intuitive user experience for data exploration, visualization, and report scheduling.
- Manage product roadmaps for Data Services and Data Transporter.
- Ensure timely, accurate, and scalable ingestion of petabyte-scale data.
- Ensure timely, accurate, and scalable preparation of petabyte-scale data.
- Collaborate with Data Science and Engineering teams.
- Integrate AI/ML-derived insights into core analytics products.
- Define and track KPIs for data pipelines and analytic tools.
- Define and track data quality metrics for data pipelines and analytic tools.
- Ensure high data reliability, freshness, and tool usage.
- Act as primary interface for Analytics users and Data Engineering.
- Translate complex data requirements into technical specifications.
Berufserfahrung
- 7 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Benefits
Betriebliche Altersvorsorge
- Deferred pension scheme (20% contribution)
Attraktive Vergütung
- ESPP
Boni & Prämien
- Annual bonus
Sonstige Zulagen
- Internet reimbursement
- Mobile reimbursement
Weiterbildungsangebote
- Professional development resources
Mehr Urlaubstage
- Flexible Paid Time Off (PTO)
- 33 days personal time off
Sinnstiftende Arbeit
- Volunteering days
Flexibles Arbeiten
- Remote-first model
- Flexible working hours
- Work from anywhere
Team Events & Ausflüge
- Monthly connection pizza day
Noch nicht perfekt?
- RoomPriceGenieVollzeitRemoteManagementMannheim, Berlin
- Springer Nature AG & Co. KGaA
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VollzeitRemoteManagementMannheim, Berlin
Senior Technical Product Manager - Analytics(m/w/x)
Defining features for Analytic Studio and Report Center, managing Data Services roadmaps at a conversational AI platform. 7+ years product management for SaaS analytics products, with deep data warehousing knowledge required. 20% deferred pension contribution, ESPP, annual bonus.
Anforderungen
- Bachelor's degree in Computer Science, Engineering, Business, or related field (MBA preferred)
- 7+ years product management experience with SaaS analytics/reporting products
- Deep understanding of data warehousing, BI tools, reporting systems, high-scale data processing, event-driven architectures, cloud infrastructure
- Proven ability to develop/execute product strategy for data/analytics products, prioritize features, drive roadmap planning in agile environment
- Strong analytical skills for data interpretation, trend identification, data-driven decisions
- Excellent communication, collaboration, leadership skills to influence cross-functional teams
- Experience with enterprise customers on reporting/analytics needs, strong customer focus, empathy for data consumption pain points
- Passion for innovation, creativity, solving complex data/reporting challenges
Aufgaben
- Develop and articulate product vision and strategy.
- Empower customers and internal teams with actionable insights.
- Define, review, and prioritize features for Analytic Studio and Report Center.
- Ensure intuitive user experience for data exploration, visualization, and report scheduling.
- Manage product roadmaps for Data Services and Data Transporter.
- Ensure timely, accurate, and scalable ingestion of petabyte-scale data.
- Ensure timely, accurate, and scalable preparation of petabyte-scale data.
- Collaborate with Data Science and Engineering teams.
- Integrate AI/ML-derived insights into core analytics products.
- Define and track KPIs for data pipelines and analytic tools.
- Define and track data quality metrics for data pipelines and analytic tools.
- Ensure high data reliability, freshness, and tool usage.
- Act as primary interface for Analytics users and Data Engineering.
- Translate complex data requirements into technical specifications.
Berufserfahrung
- 7 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Benefits
Betriebliche Altersvorsorge
- Deferred pension scheme (20% contribution)
Attraktive Vergütung
- ESPP
Boni & Prämien
- Annual bonus
Sonstige Zulagen
- Internet reimbursement
- Mobile reimbursement
Weiterbildungsangebote
- Professional development resources
Mehr Urlaubstage
- Flexible Paid Time Off (PTO)
- 33 days personal time off
Sinnstiftende Arbeit
- Volunteering days
Flexibles Arbeiten
- Remote-first model
- Flexible working hours
- Work from anywhere
Team Events & Ausflüge
- Monthly connection pizza day
Über das Unternehmen
LivePerson
Branche
IT
Beschreibung
The company is the global leader in enterprise conversations, providing a Conversational Cloud platform for better customer experiences.
Noch nicht perfekt?
- RoomPriceGenie
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