4 дня назад
Business Experience Planning Advisor - Customer Data Forensics (Customer Data)
70 000 - 156 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Experience Planning Advisor - Customer Data Forensics (Customer Data): Improving enterprise customer data quality, governance, usability, and reliability across reporting, analytics, modeling, decisioning, and regulatory use cases with an accent on customer identity, householding, data stewardship, and analytically ready datasets. Focus on resolving root-cause data defects, designing scalable controls, enabling trusted data products, and connecting data improvements to measurable business outcomes.
Location: In-office in Pittsburgh, PA; Cleveland, OH; Tysons Corner, VA; or Washington, DC, United States
Salary: $70,000–$156,000 base salary per year, plus incentive eligibility
Company
is a financial services company focused on customer experience, risk management, and inclusive workplace practices.
What you will do
- Define and align enterprise customer data concepts, business glossaries, critical data elements, metadata, and data strategy roadmaps.
- Profile, monitor, and improve customer data quality through rules, thresholds, reconciliations, validation controls, and root-cause analysis.
- Partner with analytics and data science teams to create analytically ready datasets, reusable customer features, and reliable model inputs.
- Enable segmentation, targeting, personalization, credit and marketing decisioning, and next-best-action solutions.
- Support data governance, audit readiness, regulatory controls, risk reporting, and evidence management.
- Define requirements for MDM, enterprise data solutions, APIs, data lakes, trusted data products, lineage, and data contracts while mentoring analysts and data stewards.
Requirements
- Bachelor’s degree or a comparable combination of education, certification, and experience.
- 5+ years of industry-relevant experience.
- Experience with customer data management, data quality, governance, root-cause analysis, and remediation leadership.
- Experience translating business needs into data requirements, datasets, features, KPIs, and decision solutions.
- SQL proficiency and experience with data lake or data warehouse environments.
- Must work in-office in Pittsburgh, Cleveland, Tysons Corner, or Washington, DC; employment visa sponsorship and STEM OPT participation are not provided.
Nice to have
- Experience with MDM, customer identity resolution, probabilistic matching, or householding.
- Familiarity with Collibra, Alation, Archer, GRC, data cataloging, and lineage platforms.
- Experience with regulatory programs, MRAs, audit readiness, control evidence, financial services data, experimentation, segmentation, or champion/challenger testing.
Culture & Benefits
- In-office environment with an emphasis on supportive, inclusive, and collaborative work.
- Medical, prescription, dental, vision, life, disability, and dependent-care benefits may be available to eligible full-time employees.
- 401(k) matching, pension, stock purchase plans, educational assistance, and wellness programs.
- Paid holidays, occasional absence days, parental leave, and 15–25 vacation days depending on career level and service.
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