Junior Technical Product Owner - Data Job at Smartclip Europe GmbH (Berlin)

Product Owner

Product Owner positions! Permanent Position / Direct Hire!

Location

United States , San Diego

Salary:

46.00 USD / Hour

SAR Tech

Expiration Date

Until further notice

Requirements

Bachelor's degree or its foreign equivalent in Computer Science, CIS, MIS, Business, or related field
Participate and/or conduct discovery sessions for small to large-scale process improvement projects to identify opportunities for Automation
Partner with Process Improvement analysts to design TO-BE process flow using Lean Six Sigma principles
Develop and maintain the backlog, write user stories with completion criteria, create testing plans, and maintain the ongoing Automation related initiatives for a defined value stream
Partner with the business area subject matter experts, technical automation teams, solution architect and Product Manager to develop a deep end-to-end understanding of end-to-end design, build, and deployment of Appian application into production
Engage with cross-functional teams to develop business requirements in user stories, detailed acceptance criteria, test cases, and deployment plans
Work with the scrum master and product manager to facilitate the planning and execution of the Appian initiatives. Partner with leaders to plan product increment and sprint planning sessions for assigned initiatives
Coordinate with the business, product manager, and technical team to identify and provide support for solution designs related to production issues and enhancements
Apply Agile processes and methodologies to ensure projects are delivered on time, within budget, adhere to high-quality standards, and meet stated objectives
Mentor junior team members to integrate them into the team with the objective of a high-performing, self-sustaining team

Fulltime

New

Principal AI Product Manager, Technical

Principal Innovation Product Manager, Technical is a visionary, strategist, anal...

Location

United States , Bellevue

Salary:

139700.00 - 252000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, IT or equivalent experience
8+ years’ experience in hands on technical role writing production code, solution engineering, or technical archtecture in large scale company / appplication / product environment
More than 10 years Relevant Product Management experience in an agile software product development environment
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Vision & Strategy for AI Products
Owns strategy, roadmap, and lifecycle for enterprise AI products and reusable AI capabilities serving multiple customer journeys, business units, or platforms
Accountable for measurable business outcomes including revenue growth, cost reduction, adoption, retention, automation impact, and customer experience improvement
Drives multi-year product investment strategy, including business cases, funding requests, and prioritization of AI initiatives across a portfolio of opportunities
Own the product lifecycle for complex technical solutions, ensuring alignment with business objectives and customer needs
Conducts deep customer research and market analysis to identify breakthrough AI opportunities
Defines success metrics and tracks progress against ambitious growth targets
Anticipates AI trends and competitive threats, incorporating insights into product strategy
Conducts analysis of quantitative and qualitative data to identify product innovation opportunities or root cause of issues, and assess opportunity size and impact
May work with data scientists to answer complex questions or identify meaningful insights from data

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical, dental and vision insurance
flexible spending account
paid time off
up to 12 paid holidays
paid parental and family leave

Fulltime

Staff Data Scientist, Analytics (Payments)

Airwallex is the only unified payments and financial platform for global busines...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years industry experience
Degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Proven experience in experimentation and causal inference to drive data-informed product decisions
Excellent communication and interpersonal skills
Strong skills in SQL and Python/R
Experience in technology, financial services and/or a high growth environment is advantageous

Job Responsibility

Design and implement rigorous frontend experiments to improve the payment product experience and payment success rates
Identify and quantify opportunities to improve and grow the payments product, and drive roadmaps with those insights
Translate open-ended business problems into clearly defined data science initiatives
Build scalable measurement frameworks and strategic north star metrics to enable consistent, data-driven decision-making across teams
Communicate data insights and recommendations to technical and non-technical audiences
Mentor and coach junior data scientists
Act as the single-threaded technical owner on cross-functional initiatives

Fulltime

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Manager-Digital Product Management - DSAR

Enterprise Data Management & Products (EDMP), a key part of our Technology organ...

Location

United Kingdom , London

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

5+ years of experience within Product Management or oversight function
Demonstrated excellence in Product Management and leading cross functional teams delivering technology-driven business solutions across the Enterprise
Experience in and knowledge of the Data Privacy space, with a particular focus on highly complex data and automated solutions catering for multiple markets and regulations
Experience leading and coaching multiple high performing junior product owners and delivering through a team
Highly organized and self-motivated individual who can combine problem-resolution, insights-driven prioritization, and ability to influence across band levels to achieve critical business goals
Rigorous attention to detail, with demonstrated proficiency in creating transparent, well-communicated, and scalable processes and communications, while leading the implementation of those processes across a matrixed environment
Confidence in decision-making in complex and ambiguous situations
comfortable troubleshooting and aligning conflicting interests
Ability to understand and communicate complex technical concepts and processes to a wide variety of audiences
Proactive analytical skills with a keen eye towards implications on strategy and capability impacts

Job Responsibility

Develop, continuously refine, and execute the vision and product strategy for the Data Subject Request Processor platform and associated data discovery and integration at American Express, including regular assessment of the global regulatory environment to inform future platform needs
Work across the DSAR team to develop, communicate, and execute on our core roadmap across prioritized markets and DSAR types
Build relationships and drive strategic alignment with critical business partners such as International Privacy Risk Management and Global Servicing to evangelize and get buy in to our DSAR technical solutions, and manage responses to regulatory initiatives affecting our portfolio
Work with the DSAR product team in the development and maintenance of required program collateral and assets, including roadmaps, updates, project tracking, and informational hubs/documents for partner engagement
Partner with Engineering to develop automation and reporting solutions that are both compliant, yet built to scale and achieve business goals
Coordinate with International Privacy Risk Management and Global Servicing to prioritize significant incoming business demand
Line management of junior product associates

What we offer

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Lead Data Engineer

Data is a vital part of our business and with your help, we can improve the serv...

Location

United Kingdom , Belfast; Birmingham; Glasgow; Bristol; Manchester; London

Salary:

Not provided

Plusnet

Expiration Date

Until further notice

Requirements

Use of Hadoop / GCP /or AWS to build Big Data solutions
Skilled in using some of these technologies such as Spark, Terraform, Kafka, Kinesis, BigQuery, Dataflow, and SQL
Proficient in programming languages such as Scala, Java, or Python
Experienced in designing, building, and maintaining scalable data pipelines and applications
Hands-on experience with Continuous Integration and Deployment strategies
Solid understanding of Infrastructure as Code tools
Experienced in using Confluence, JIRA, or other Atlassian tools
Knowledgeable in software version control with Git or SVN
Capable of presenting technical issues and successes to team members and Product Owners
Has experience of people management or desire to manage individuals on the team

Job Responsibility

Design, build, and lead on the development and support of scalable data products for our business stakeholders
Agile development through story planning, estimation and retrospectives
Lead the continual improvement of our solutions, i.e. process improvements / operational monitoring / automation opportunities / security
Provide leadership to our other Data engineering development and support team, contribute to upkeep of our strategic data platform architecture, the data engineering community and associated standards
Collaborate with architects, designers, analysts, product specialists, other software and data engineers – in the support of our data products
Continual improvements using engineering excellence best practices
Demos and knowledge transfers to stakeholders around product developments
Spread your experience and knowledge to junior engineers
Improve automated testing and deployments using CI/CD pipelines
Expectation to line manage small team of junior data engineers

What we offer

10% on target bonus
BT Pension scheme, minimum 5% Employee contribution, BT contribution 10%
Life Assurance Cover
Exclusive colleague discounts on our latest and greatest BT broadband packages, BT TV with TNT Sports and NOW Entertainment
From January 2025, equal family leave: receive 18 weeks at full pay, 8 weeks at half pay and 26 weeks at the statutory rate. It’s for all parents, no matter how your family is made up
Enhanced women’s health support: including help with menopause symptoms, cancer screenings, period care and more
25 days annual leave (not including bank holidays), increasing with service
24/7 private virtual GP appointments for UK colleagues
2 weeks carer’s leave
World-class training and development opportunities

Fulltime

Senior Data Governance Specialist

Are you looking for a new challenge? Fancy helping us shape the future of motor ...

Location

United Kingdom , London

Salary:

Not provided

Prima

Expiration Date

Until further notice

Requirements

6+ years of experience in Data Governance / Data Management / Analytics Governance in complex organizations (ideally regulated environments)
Proven experience designing and running governance mechanisms end-to-end: operating model, stewardship/ownership, glossary & metrics, metadata/catalog, lineage, access & privacy controls, and data quality
Strong understanding of governance capabilities and maturity concepts (e.g., governance + security emphasis, business data knowledge/metadata, controls)
Ability to influence without authority: strong stakeholder management, facilitation, negotiation, and communication across technical and non-technical audiences
Strong problem solving, pragmatic approach, and ability to drive execution in ambiguous environments

Job Responsibility

Data Governance operating model: Define and maintain the governance framework (domains, councils/forums, decision rights, RACI), clarifying roles such as Data Owners, Data Stewards, and technical custodians. Facilitate governance cadences (domain working groups, escalation paths, prioritization) and drive stakeholder alignment across business and tech
Own enterprise metadata: Govern and scale Business Glossary, KPI/metric definitions, data dictionaries, and documentation standards to reduce ambiguity and improve data literacy. Drive adoption of a data catalog approach (discovery, context, ownership, certifications) and ensure assets have the right business and technical metadata
Establish standards and processes for data lineage (business + technical): certification of critical datasets/reports, and impact analysis for changes. Define governance requirements for new data products (documentation, ownership, SLAs, access model, retention, quality expectations, monitoring)
Data quality as strategic pillar: Define DQ strategy for critical domains: quality dimensions, thresholds, ownership, and remediation workflows. Drive root-cause analysis patterns with platform/engineering teams and track improvements via KPIs. (Stewardship typically covers day-to-day quality management, within a broader governance model)
Enablement, change management: Create playbooks, templates, and training to embed governance in delivery (from intake to release). Mentor more junior profiles and act as a trusted advisor for business stakeholders, helping teams “do the right thing” with minimal friction

What we offer

Hybrid working, with a mix of home and office days
For up to 30 days per year, work from anywhere
Access to learning resources, mentorship and a growth plan tailored to you
Private healthcare
Gym discounts
Wellbeing programs
Mental health support

Fulltime

Staff Data Scientist, Growth Analytics

We’re hiring an experienced Staff Data Scientist to be the technical lead for ou...

Location

United States , San Francisco

Salary:

180000.00 - 300000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

7+ years industry experience
Degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Advanced degree (PhD or MS) preferred
Proven experience mentoring or leading data science or data analytics teams
Excellent communication and interpersonal skills
Proven ability to influence strategy in high-growth environments
Demonstrated experience applying data science to drive growth initiatives with concrete impact
Strong skills in SQL and Python/R
Experience with data modeling a plus
Experience in technology, financial services and/or a high growth environment is advantageous

Job Responsibility

Operate as the technical partner to Growth, Marketing, Sales and Data Science leaders to define and implement Airwallex’s growth strategy
Lead and mentor the team in applying a variety of data science techniques—root-cause analysis, statistical modeling, and experimentation—to identify opportunities and drive product-led growth (acquisition, activation, retention, reactivation)
Establish insight-driven approaches to address key business problems and drive business impact
Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams and inform growth strategy
Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders
Translate open-ended business problems into clearly defined data science initiatives for the team to implement
Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives

What we offer

Offers Equity
Offers Bonus
Medical, dental, and vision insurance
401(k) plan
Short-term and long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays

Fulltime

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Junior Technical Product Owner - Data

Job Description

Job Responsibility

Requirements

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