Key skills
AIMachine LearningData EngineeringAnalyticsBIStatistical AnalysisAgileScrumLeadershipChange ManagementProduct ManagementCommunicationCollaboration
About this role
Principal Data & Analytics Solution Owner (E6082) - 260019: KNW-D80
The Principal Data & Analytics Solution Owner will lead the design and delivery of data solutions that power decision-making across our organization.
The Principal Data & Analytics Solution Owner will serve as the solution owner and strategic partner for key data and analytics initiatives — shaping the vision, defining the roadmap, prioritizing features, and overseeing design, build, and implementation. This person will partner closely with data engineering, data architecture, data science, data governance, and broader IT teams (including security, cloud infrastructure, etc.) within our agile/scrum framework.
This role is ideal for someone who is equally comfortable discussing joint strategies and data models as they are about business KPIs, value realization, and stakeholder expectations.
This is a senior, highly visible role for someone who has deep experience across the data landscape (data architecture, data engineering, analytics, dashboarding/reporting, and data governance). This role requires strategic thinking and an ability to work directly with business and functional leadership to unpack business goals, value drivers, and desired outcomes. A successful Principal Data & Analytics Solution Owner can translate complex business needs into clear, actionable data products and solutions, and then own those solutions from end to end.
Key Responsibilities
As defined in IEEE Policies, individuals currently serving on an IEEE board or committee are not eligible to apply.
PLEASE NOTE: This position is not budgeted for employer-sponsored immigration support, this includes all persons in F (both CPT and OPT), J, H, L, or O status.
For information on work demands and conditions required for this position, please consult the reference document, ADA Requirements. This position is classified under Category I - Office Positions.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Disclaimer: This job description is proprietary to IEEE. It outlines the general nature and key features performed by various positions that share the same job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and qualifications required of all employees assigned to the job. Nothing in this job description restricts management’s right to assign or re-assign duties to this job at any time due to reasonable accommodations or other business reasons.
Description
Job SummaryThe Principal Data & Analytics Solution Owner will lead the design and delivery of data solutions that power decision-making across our organization.
The Principal Data & Analytics Solution Owner will serve as the solution owner and strategic partner for key data and analytics initiatives — shaping the vision, defining the roadmap, prioritizing features, and overseeing design, build, and implementation. This person will partner closely with data engineering, data architecture, data science, data governance, and broader IT teams (including security, cloud infrastructure, etc.) within our agile/scrum framework.
This role is ideal for someone who is equally comfortable discussing joint strategies and data models as they are about business KPIs, value realization, and stakeholder expectations.
This is a senior, highly visible role for someone who has deep experience across the data landscape (data architecture, data engineering, analytics, dashboarding/reporting, and data governance). This role requires strategic thinking and an ability to work directly with business and functional leadership to unpack business goals, value drivers, and desired outcomes. A successful Principal Data & Analytics Solution Owner can translate complex business needs into clear, actionable data products and solutions, and then own those solutions from end to end.
Key Responsibilities
- Develop and own the strategic vision and roadmap for key data and analytics programs and offerings (e.g., executive dashboard programs, self-service analytics capabilities, AI-driven analytics).
- 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 that are aligned with business objectives.
- Continuously scan the organization for emerging needs and opportunities to reuse or extend existing data products and analytic products.
- Act as the primary point of contact between business stakeholders and technical delivery teams.
- Facilitate discovery sessions, workshops, and stakeholder interviews to gain a deep understanding of business processes, pain points, and decision-making 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.
- Collaborate with data science to integrate predictive and prescriptive models into the product.
- Work closely with security & cloud infrastructure teams, as well as broader IT, to align with security, compliance, infrastructure, and operational standards.
- Ensure solutions are usable, reliable, performant, and maintainable.
- 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.
- Help break down silos and promote shared understanding of data products and goals.
- Ensure 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 to ensure seamless integration and effective implementation.
- 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.
- 0% Domestic and International None
Qualifications
Education- Bachelor's degree or equivalent experience degree in data/analytics oriented field, or equivalent experience Req
- 7-10 years Data & analytics roles, such as Data & Analytics Solution Owner or Product Manager, BI/Analytics Lead or Manager, Data Engineer, Analytics Engineer, or Data Architecture. Req
- 2-4 years A product ownership or product management capacity for data and analytics solutions. Req
- Less than 2 years Cross-industry experience in data-intensive initiatives. Pref
- 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.
- Basic understanding of Statistical analysis and Machine Learning.
- Processing large data sets.
- Data Visualization design.
- In-depth understanding of data structures and systems.
- Documentation and structured programming to support sustainable development.
- Ability to describe challenges and solutions in both technical and business terms.
- Ability to develop and maintain excellent working relationships at all organizational levels.
- Excellent data modeling, analysis, and visualization skills, with the ability to easily grasp complex data relationships and patterns.
- Strong presentation and collaboration skills - a must-have.
- Experience managing cross-functional project teams.
- Ability to execute a strategy across a complex enterprise comprised of numerous divisions and functions.
As defined in IEEE Policies, individuals currently serving on an IEEE board or committee are not eligible to apply.
PLEASE NOTE: This position is not budgeted for employer-sponsored immigration support, this includes all persons in F (both CPT and OPT), J, H, L, or O status.
For information on work demands and conditions required for this position, please consult the reference document, ADA Requirements. This position is classified under Category I - Office Positions.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
===============================================
Disclaimer: This job description is proprietary to IEEE. It outlines the general nature and key features performed by various positions that share the same job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and qualifications required of all employees assigned to the job. Nothing in this job description restricts management’s right to assign or re-assign duties to this job at any time due to reasonable accommodations or other business reasons.