Executive Director — Workforce Analytics Advisory & BI Development at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

07 Oct, 26

Salary

0.0

Posted On

09 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Workforce Analytics, Business Intelligence, Executive Advisory, Data Governance, Stakeholder Management, Data Integration, Semantic Layer Design, Cloud Analytics, Program Execution, Data Quality Management, Strategic Planning, Talent Analytics

Industry

Financial Services

Description

As an Executive Director - Workforce Analytics & Business Intelligence within our Workforce Analytics function, you will unite executive-facing insights with scalable BI products and governed self-service reporting. You will help leaders understand patterns and risks across areas such as retention, mobility, performance, succession, and talent allocation through decision-ready narratives and materials. You will partner closely with data and platform teams to strengthen data quality, lineage, entitlements, and compliance across analytics solutions. You will set clear operating mechanisms for intake, prioritization, delivery, and adoption, and you will track and communicate impact through defined success metrics. Job responsibilities * Serve as a trusted strategic advisor to Human Resources and business executives by translating priorities into clear analytics agendas and actionable recommendations * Lead end-to-end delivery across executive advisory insights, dashboards and BI products, and self-service enablement * Drive proactive analytics that identify workforce patterns, risks, and opportunities, and shape narratives that influence decisions and actions * Oversee development and continuous improvement of governed self-service analytics capabilities * Translate complex business questions into scalable technical solutions, including reusable data products, semantic layers, and metrics definitions * Partner with data and platform teams to ensure strong data quality, lineage, access entitlements, and compliance across analytics solutions * Collaborate with AI and Data Science partners to operationalize advanced analytics into practical workflows and consumable BI experiences * Establish operating mechanisms for intake, prioritization, delivery, and stakeholder communication * Monitor solution performance, adoption, and user feedback to drive continuous improvement * Track, quantify, and communicate business impact through defined success metrics and outcome reporting Required qualifications, capabilities, and skills * 10+ years of experience leading analytics, business intelligence, and data-promoten strategy in a large, complex, global organization * Demonstrated success delivering enterprise-grade analytics products and executive advisory insights * Proven ability to lead through influence and drive alignment across senior stakeholders in a matrixed environment * Strong executive presence with the ability to synthesize quantitative findings into clear, decision-ready narratives and recommendations * Experience designing and delivering modern BI and self-service analytics solutions in cloud environments * Technical fluency in data integration concepts, semantic layer and metrics design, and scalable analytics delivery patterns * Experience implementing data governance and controls, including data integrity, security, and appropriate access management * Strong stakeholder management, prioritization, and program execution skills in high-visibility environments * Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field (or equivalent experience) ED - BI - CDAO.docx Preferred qualifications, capabilities, and skills * Master’s degree in a related field (or equivalent experience) * Experience partnering with Human Resources teams on workforce and talent analytics use cases * Hands-on experience with modern visualization platforms (e.g., Tableau, Power BI, Qlik, Sigma) and dashboard/UX best practices * Experience integrating BI tools with cloud data platforms (Databricks experience preferred) * Experience operationalizing predictive analytics or pattern-recognition outputs into day-to-day decision workflows * Experience building governed self-service enablement programs, including training, adoption, and usage measurement JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Responsibilities

Lead the delivery of executive-facing workforce insights and scalable BI products to optimize talent allocation and retention. Partner with data teams to ensure data quality and compliance while establishing operating mechanisms for analytics intake and delivery.