TecVeris · 4 days ago
Principal Data & Analytics Solutions Owner
United States
Full-time
Remote
Lead/Staff
8+ years expTecVeris is looking for a Principal Data & Analytics Solutions Owner to lead the design and delivery of data solutions that power decision-making for customers. The role involves serving as the solution owner and strategic partner for key data and analytics initiatives, shaping the vision, defining the roadmap, and overseeing design, build, and implementation.
AdviceConsultingIT ManagementTraining
Responsibilities
Develop and own the strategic vision and roadmap for key data and analytics products (e.g., data platforms, subject-area data marts, dashboards, self-service analytics capabilities)
Partner with business leaders to clarify the “why” behind requests, identify value opportunities, and shape high-impact data initiatives
Define clear product outcomes, KPIs, and success metrics aligned to business objectives
Continuously scan the organization for emerging needs and opportunities to reuse or extend existing data products
Act as the primary point of contact between business stakeholders and technical delivery teams for your product areas
Facilitate discovery sessions, workshops, and stakeholder interviews to deeply understand business processes, pain points, and decision flows
Translate business needs into well-structured problem statements, user stories, acceptance criteria, and high-level solution concepts
Challenge and refine requirements to ensure feasibility, scalability, and alignment with the broader data strategy
Own the end-to-end design of data solutions: from source systems and data integration through to data models, semantics, and user-facing analytics
Collaborate with data architects on conceptual and logical data models, integration patterns, and platform choices
Work with data engineering to define ingestion patterns, transformations, and performance requirements
Partner with analytics / BI teams on visualization standards, dashboard designs, and self-service models
Ensure solutions are usable, reliable, performant, and maintainable, not just technically elegant
Serve as the Solution Owner in agile/scrum teams, managing and prioritizing the product backlog
Write clear, testable user stories with acceptance criteria and maintain a well-groomed backlog
Prioritize work using transparent criteria (value, risk, complexity, dependencies)
Make trade-off decisions between scope, timelines, and quality, communicating impacts to stakeholders
Participate actively in sprint planning, reviews, and retrospectives to drive continuous improvement
Work closely with Data Engineering – for pipelines, ETL/ELT, and data platform capabilities
Work closely with Data Architecture – for models, standards, and overall architecture alignment
Work closely with Data Science / Advanced Analytics – to integrate predictive and prescriptive models into products
Work closely with Data Governance – to ensure quality, lineage, definitions, and access controls
Work closely with Security & Cloud Infrastructure / IT – to align with security, compliance, infrastructure, and operational standards
Help break down silos and promote shared understanding of data products and goals
Ensure data products adhere to data governance, privacy, and compliance requirements
Define and promote data quality standards and monitor product-level data quality metrics
Act as a steward for critical data domains, supporting consistent definitions and usage across the organization
Drive user adoption and engagement by partnering with training, communication, and change management teams
Develop enablement materials (e.g., demos, guides, best practices) to help business users get value from data products
Gather feedback, measure adoption, and iterate on products to improve usability and impact
Qualification
Required
Deep experience across the data landscape (data architecture, data engineering, analytics, dashboarding/reporting, and data governance)
Strategic thinker who can work directly with business and functional leadership to unpack business goals, value drivers, and desired outcomes
Ability to translate complex business needs into clear, actionable data products and solutions, and then own those solutions end-to-end
Develop and own the strategic vision and roadmap for key data and analytics products (e.g., data platforms, subject-area data marts, dashboards, self-service analytics capabilities)
Partner with business leaders to clarify the 'why' behind requests, identify value opportunities, and shape high-impact data initiatives
Define clear product outcomes, KPIs, and success metrics aligned to business objectives
Continuously scan the organization for emerging needs and opportunities to reuse or extend existing data products
Act as the primary point of contact between business stakeholders and technical delivery teams for your product areas
Facilitate discovery sessions, workshops, and stakeholder interviews to deeply understand business processes, pain points, and decision flows
Translate business needs into well-structured problem statements, user stories, acceptance criteria, and high-level solution concepts
Challenge and refine requirements to ensure feasibility, scalability, and alignment with the broader data strategy
Own the end-to-end design of data solutions: from source systems and data integration through to data models, semantics, and user-facing analytics
Collaborate with data architects on conceptual and logical data models, integration patterns, and platform choices
Work with data engineering to define ingestion patterns, transformations, and performance requirements
Partner with analytics / BI teams on visualization standards, dashboard designs, and self-service models
Ensure solutions are usable, reliable, performant, and maintainable, not just technically elegant
Serve as the Solution Owner in agile/scrum teams, managing and prioritizing the product backlog
Write clear, testable user stories with acceptance criteria and maintain a well-groomed backlog
Prioritize work using transparent criteria (value, risk, complexity, dependencies)
Make trade-off decisions between scope, timelines, and quality, communicating impacts to stakeholders
Participate actively in sprint planning, reviews, and retrospectives to drive continuous improvement
Work closely with Data Engineering, Data Architecture, Data Science / Advanced Analytics, Data Governance, and Security & Cloud Infrastructure / IT
Ensure data products adhere to data governance, privacy, and compliance requirements
Define and promote data quality standards and monitor product-level data quality metrics
Act as a steward for critical data domains, supporting consistent definitions and usage across the organization
Drive user adoption and engagement by partnering with training, communication, and change management teams
Develop enablement materials (e.g., demos, guides, best practices) to help business users get value from data products
Gather feedback, measure adoption, and iterate on products to improve usability and impact
Strong ability to bridge business and technology, communicating effectively with executive stakeholders and technical teams alike
Excellent verbal and written communication skills; able to simplify complex concepts and tell compelling data stories
Proven product ownership/product management skills in an agile environment (road-mapping, backlog management, prioritization, stakeholder management)
Empathetic and user-centric mindset, with the ability to advocate for both business users and technical teams
Deep understanding of data and analytics concepts, including data warehousing, data lakes, and modern data platforms
ETL/ELT pipelines and data integration patterns
Dimensional and/or semantic data modeling
BI and reporting tools (e.g., Tableau, PowerBI, Looker, Qlik, etc.)
SQL and working knowledge of databases (relational and/or cloud-native)
Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and associated services
Understanding of data governance, data quality, metadata, and security best practices
Hands-on experience working within agile/scrum or similar delivery frameworks
Strong prioritization, planning, and organizational skills
Ability to influence without direct authority and drive alignment across functions
8–12+ years of experience in data & analytics roles, such as Data / Analytics Solution Owner or Product Manager, BI / Analytics Lead or Manager, Data Engineer, Analytics Engineer, or Data Architect who has transitioned into product/strategy roles
3–5+ years specifically in a product ownership or product management capacity for data and analytics solutions
Proven track record of delivering end-to-end data products (from concept through implementation and adoption) that created measurable business value
Experience working with cross-functional teams spanning business functions, data engineering, data architecture, data science, and IT
Bachelor's degree in Computer Science, Information Systems, Data/Analytics, Engineering, Business, or a related field; advanced degree is a plus
Preferred
Comfort working with data science / ML teams and integrating model outputs into data products (nice-to-have but highly beneficial)
Background in [your industry, e.g., financial services, retail, healthcare, manufacturing] is a plus but not required
Certifications a plus (e.g., CSPO/PSPO, SAFe, cloud certifications, BI tool certifications)
Company
TecVeris
TecVeris helps companies improve project management practices and increase customer satisfaction for higher profitability.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Millie Paniccia
Co-Founder and Managing Partner
Brian Paniccia
Managing Partner TecVeris LLC
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