Job Description
Job Title:  MANAGING CONSULTANT - TECH & IMPL
City:  Salisbury
State/Province:  Maryland
Posting Start Date:  4/20/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description: 

Job Description

The Analytics Player Coach facilitates the creation, maintenance, and utilization of globally trusted, reusable data and insight assets. This role operates as a hands-on contributor and coach, partnering with business decision-support teams to drive adoption of the analytics operating model, improve data literacy, strengthen governance/metadata discipline, and ensure analytical solutions are performant, auditable, and aligned to business strategy.

Key Responsibilities

1 Business Partnership & Decision Support Enablement

Build strong working relationships with decision-support stakeholders across business domains.

Maintain consistent stakeholder engagement; respond quickly to needs and remove blockers to insight delivery.

Improve clarity of business problems to solve by shaping requests into well-defined analytics outcomes and reusable assets.

2 Analytics Operating Model Adoption

Ensure decision-support teams understand and adhere to the analytics operating model standards, processes, templates, roles, and ways of working.

Establish repeatable practices for intake, prioritization, solution design, delivery, and value realization.

3 Solution Optimization & Reuse

Review, optimize, and standardize analytical solutions reports, dashboards, semantic layers, data products) for performance, usability, and reuse.

Promote build once, reuse many patterns to reduce duplication and improve trust.

4 Data Availability, Quality, and Structure

Ensure required data sources are available, well-documented, and fit-for-purpose for decision support.

Partner with data engineering architecture to improve data structure, definitions, and consistency to enable scalable analytics.

5 Governance, Metadata, and Audit Readiness

Reduce friction in completing governance tasks by operationalizing lightweight, consistent processes for: metadata capture, documentation, stewardship, access controls, and audit support.

Ensure the analytics ecosystem supports governance and audit requirements.

6 Tools & Emerging Technology

Assess new tools and technologies; recommend practical adoption paths that reduce change resistance and improve efficiency.

Serve as a bridge between business users and platform teams to drive effective enablement.

7 Training, Coaching, and Data Literacy 
Act as a force multiplier by coaching decision-support users and creating tailored training plans.

Measure and improve data literacy outcomes through structured enablement and targeted learning interventions.

8 Maturity Measurement & Continuous Improvement

 Define operate a framework to assess and track decision-support analytics maturity across teams/domains.

Establish baseline maturity, identify gaps, execute improvement plans, and report progress.

 Ownership and Accountability

Drive clarity on solution ownership and data ownership across domains to improve reliability and decision confidence.

Escalate and resolve systemic issues unclear ownership, bypassing analytics, inconsistent standards.

Required Qualifications

Proven experience leading or enabling enterprise decision support, analytics COE functions, data product delivery, or analytics transformation.

Strong stakeholder management skills across business and technology teams.

Demonstrated ability to operationalize governance/metadata practices not just define them.

Strong working knowledge of analytics lifecycle concepts - KPI definition, semantic consistency, reuse patterns, documentation, and adoption.

Experience with modern cloud data platforms and BI ecosystems Snowflake andTableauPower BI

Familiarity with data catalog/metadata tools and operating models Alation Collibra concepts.

Experience in CPG  supply chain  manufacturing analytics environments.
Mandatory Skills: Analytics Consulting .

 

Experience: >10 YEARS .

 

The expected compensation for this role ranges from $100,000 to $185,000 .

 

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

 

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

 

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

 

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.