Manager as service

A career in our Managed Services team will provide you an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology.

Our Managed Data, Analytics & Insights team will provide you with the opportunity to help organizations harness the power of their enterprise data / analytics solutions by optimizing the technology while driving innovation to increase business outcomes and through data insights.

We assist our clients in capitalizing on technology improvements, implementing new capabilities and achieving operational insights by managing, maintaining and evolving their analytics platforms and ecosystems.

We help our clients maximize the value of their investment focusing on continuous improvement of their analytics solutions such as Microsoft, Amazon Web Services and Google Cloud.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level.

To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.

PwC Professional skills and responsibilities for this management level include but are not limited to :

• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firm's / client's expectations.
• Use data and insights to inform conclusions and support decision-making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarising key points.
• Uphold the firm's code of ethics and business conduct.

Additional Responsibilities :

The Data & Analytics managers primary responsibility is to manage and lead projects / activities related to building the modern data ecosystem while working with IT and business to convert insights into strategic opportunities.

This individual will lead and manage a team of Data architects, Data technology engineers, Data scientists and Reporting and BI experts to drive business outcomes through analytics interventions.

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Minimum Years of Experience :

10 year(s) of experience in data and analytics management with at least 8 years of experience of leading various data and analytics program / initiatives of large sizes with 3 years experience managing and delivering Managed Data and Analytics programs (Managed services and Managed assets)

Preferred Qualifications :

Preferred Fields of Study :

Information Technology, Computer and Information Science

Certification(s) Preferred :

PMP certification or certified scrum master

Preferred Knowledge / Skills :

Demonstrates extensive abilities and / or a proven record of success as a team leader :

• Demonstrate experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc.;
• Work with and create Data warehouses and dashboards using industry leading data and analytics tools and technologies.;
• Lead multiple Data & Analytics projects to build, develop and maintain data & analytics ecosystem, dashboarding & reporting systems, that support key business decisions;
• Lead the design and delivery of Data processing activities like Data Ingestion, Data processing (ETL and ELT), Data cleansing, profiling, and wrangling, Data Governance (Data Quality, Lineage and Data security), Master Data management, BI reporting, and Analytics;
• Lead and drive estimations and sizing effort related to Data analytics work, plan and build teams utilizing onsite / offshore mix, utilizing deployment models for efficient delivery of solution;
• Lead discussions with IT teams for large transformation / migration initiatives of migrating the on-prem Data warehouses to advanced platforms like cloud;
• Work with various team leads including Business teams and Efficiently Manage risks and issues related delivery of Data and Analytics assets;
• Identify new opportunities for growth in the Data & Analytics area and drive them to closure with respective stakeholders (internal as well as external);
• Monitor workloads of the team while meeting client expectations and respecting the work-life quality of team members;
• Communicate progress and impact of insights initiatives to all stakeholders within and outside of the company;
• Recruit, train, develop, mentor, and supervise team members;
• Work with clients to build advanced DW concepts like Data Lakes, Data Fabric, Data Vault, Data Mesh etc.;
• Analyze business functions and drive IT transformations to creating analytics models and related insights;
• Lead cloud scale development effort for Data Integration technology-enabled solutions that address the needs of large organizations, including how to streamline design, automation, and orchestration of enterprise data that support large business transformation and processes;
• Lead multi-cloud / hybrid cloud data integration solutions;
• Understand the Data strategy for an organization and help realize Roadmap to take the organization to the next level of Data ecosystem maturity;
• Anticipate and plan future demands of initiatives related to resources, technology needs, accurate estimations, cost budgeting and design / implement solutions to meet these needs;
• Evangelize the need of using Data at scale drive Data onboarding initiatives with business;
• Ideate and create and leverage accelerators for quicker time to market of deliverables; and,
• Lead the development of intellectual property related to Data Analytics, Machine Learning and Insights and delivery market leading point of views at industry events.

Learn more about how we work : https : / / pwc.to / how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy : https : / / pwc.to / H-1B-Lottery-Policy.

• All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion;
• national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status;

veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage.

Please visit this link for information about anticipated application deadlines : https : / / pwc.to / us-application-deadlines

For positions in California, Colorado, Hawaii, Nevada, New York State, or Washington State, or for opportunities that will report to a supervisor, office or other work site in New York State, please visit the following link for pay range information : https : / / pwc.

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Last updated : 2024-07-01