<span class="job-info"><b>Job Category</b> Data and Analytics</span>

<span class="job-info"><b>Level</b> Manager</span>

<span class="job-info"><b>Specialty/Competency</b> Data, Analytics &amp; AI</span>

<span class="job-info"><b>Industry/Sector</b> Not Applicable</span>

<span class="job-info"><b>Job Type</b> Regular</span>

<span class="job-info"><b>Time Type</b> Full time</span>

<span class="job-info"><b>Travel Requirements</b> Up to 40%</span>

<span class="job-location job-info"><b>Location(s)</b> MA-Boston, NY-New York</span>
<div class="ats-description">A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.

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

<b><u>Basic Qualifications</u></b>:

<b>Minimum Degree Required</b>:
Bachelor Degree

<b>Minimum Years of Experience</b>:
7 year(s)

<b><u>Preferred Qualifications</u></b>:

<b>Preferred Knowledge/Skills</b>:

Demonstrates extensive knowledge and/or a proven record of success in understanding underlying client business problems including the following areas:
<ul>
 	<li>Developing Data Integration technology-enabled solutions that address the needs of large organizations, including how to implement technology solutions to help streamline design, automation, and orchestration of enterprise data that support large business transformation and processes;</li>
 	<li>Leveraging hands-on experience with the implementation of Data Integration tools, such as SnapLogic, Mulesoft, Databricks, AWS Kinesis &amp; Glue, Azure Data Factory, Informatica Cloud, etc;</li>
 	<li>Working with data querying and processing utilizing SQL, Python/PySpark, Jupyter Notebooks and similar technologies;</li>
 	<li>Working knowledge of interactions with data quality systems and processes, data management and data operations workflows and processes;</li>
 	<li>Applying leading design and implementation practices related to end-to-end data lifecycle for one or more of the following: enterprise cloud data hubs/exchanges, middleware systems, data conversion/migration for business applications (e.g. CRM, ERP), edge applications (e.g. mobile devices);</li>
 	<li>Understanding and proven experience related to multi-cloud/hybrid cloud data integration solutions;</li>
 	<li>Understanding and proficiency in data models and table structure of business applications such as Salesforce/SAP/Microsoft Dynamics/Oracle ERP is a big plus;</li>
 	<li>Understanding and ability to architect, manage, and engineer high volume/scale data integration performance, which includes both batch and event based integration patterns; and,</li>
 	<li>Showcasing proven communication and presentation skills, experience working with variety of senior IT stakeholders.</li>
</ul>
Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
<ul>
 	<li>Helping develop Data Integration for full scale operational and organisational transformations;</li>
 	<li>Supporting the development of and execution of GTM strategy and industry specific offerings / assets;</li>
 	<li>Supporting the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events</li>
 	<li>Acting as a subject matter specialist on Data Integration architectures/tools/solutions, leveraging your knowledge and experience to meet client’s needs;</li>
 	<li>Understanding and ability to size effort related to Data Integration work, build teams utilizing onsite/offshore mix;</li>
 	<li>Performing as a team leader by creating a positive environment;</li>
 	<li>Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and,</li>
 	<li>Providing candid feedback in a timely manner and keeping leadership informed of progress and issue.</li>
</ul>
</div>