Data Product Management

7 days ago


Charlotte, NC, United States Charlotte Staffing Full time
Join EY's Data And Analytics Team

Locations: New York City, Charlotte, Dallas. At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

What if your career could have a lasting impact on you, and on the world? Here at EY, you'll have the chance to build a truly exceptional experience. We'll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you'll develop the skillsets you need to stay relevant today and in the future all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

The opportunity: your next adventure awaits. Our Data and Analytics team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems (some that not been solved before). No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. Whether you have architectural and data experience, specialize in the math behind data algorithms, or are an expert at ensuring data is clean and correct, you can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

Role 2: Data Product Manager

In this role, you will connect Business product owners with Technology delivery teams using data to power experiences for our Advisors and Investors. You will be accountable for multiple domains of data that power products including Advisor and Investor platforms, performance reporting, supervision, account lifecycle management, billing, compensation, trading, money movement, proposal generation, CRM, BI reporting and data distribution, etc.

Responsibilities In this pivotal role, you will:

  • Oversee the delivery of technology projects, ensuring adherence to methodologies like Agile and Waterfall, and mentoring team members.
  • Drive continuous improvement and innovation, applying research, analysis, and best practices to advance processes and solutions.
  • Develop and execute the data strategy and roadmap for multiple domains of data sources of record (SORs) for consumers.
  • Provide both high-level and detailed scoping estimates with Technology partners for architecture and solution design, data flow and lineage, attribute-level data mapping, and data distribution mechanisms.
  • Manage complex technical initiatives, providing expert guidance, resolving issues, and achieving performance objectives across client service, risk management, and team development.
  • Engage actively with clients, leading workstreams, and identifying opportunities to expand services.
  • Spearhead RFP responses and manage engagement economics, including resource planning and budgeting.
  • Travel as required to meet client needs and project demands.

Overall delivery

  • Lead the development and enhancement of Cast & Operations data domains and assets, aligning them with business objectives.
  • Manage and mentor a team of Data Product Managers to deliver high-impact, scalable data solutions across diverse use cases.
  • Define and execute prioritization strategies to guide engineering and architecture efforts toward high-value data initiatives.
  • Partner across the organizationincluding data producers, architects, and business stakeholdersto ensure cohesive data integration and alignment.
  • Drive the delivery of trusted, high-quality data assets by establishing clear definitions of 'done' including reusability, documentation, and metadata.
  • Implement data monitoring and measurement frameworks to assess and improve data quality.
  • Foster collaboration through shared standards and practices across the data product management community.
  • Analyze asset usage to identify data improvement opportunities and cultivate a positive, high-performing team culture.
  • As a manager, you will guide a team of Data Product Managers, empowering them to unlock the full potential of data within our platform, catering to a diverse range of use cases with expertise and innovation.

Practice development

  • Serve as a part of a leadership team at EY focusing on all things customer in pharma and helping build the practice to achieve future vision and goals.
  • Contribute actively to points-of-view, POCs, proposals and selling materials to help win and close deals across horizontals and use cases.
  • Identify opportunities where EY can push frontiers for pharma clients in the customer space.
  • Stay up to date with the latest pharma trends and evaluate state-of-the-art technologies/framework to drive innovation.
  • Identify and develop new business opportunities within the life sciences domain.
  • Stakeholder management
  • Foster strong relationships with clients, acting as a trusted advisor and advocate for their success.
  • Collaborate with clients and stakeholders to translate business asks to scalable, operable solutions
  • Team and People development
  • Provide leadership and development for direct reports
  • Recruit, develop, and retain a strategic and operationally capable workforce skilled and knowledgeable in pharma
  • Effectively manage an agile organization that continuously meets the needs of a changing portfolio
  • Build an organizational culture that fosters inclusion and innovation.
  • Create an environment that fosters professional and career development.
  • In partnership with line management, develop the team's expertise in pharma, therapeutic area science, strategic thinking, project management and leadership
  • Develop and mentor junior team members, fostering a culture of continuous learning and growth.
  • Put together development plan for team members and help plan career growth and opportunities for other team members
  • Evaluate and manage performance for leaders and other team members

Skills and attributes for success

  • Proven ability to construct and direct technology projects in line with organizational goals.
  • Expertise in project and program delivery methodologies, with the ability to mentor others.
  • Strong analytical skills to develop creative solutions for complex problems.
  • Leadership skills to manage professional staff and supervise teams effectively.
  • Strategic thinking to drive sales, business growth, and client satisfaction.

Experience:

  • 5-7 years of experience in python programming specializing in data handling, managing, ETL jobs
  • 5-7 years of hands-on experience in querying data in cloud platforms such s AWS, Azure etc.
  • 5-7 years of experience in building statistical forecast models for pharma industry
  • Exposure to sourcing/automating data pulls using APIs from different platforms e.g. evaluate pharma, pricecentriq
  • 5-7 Years of experience in leading report development and design
  • Skillsets:
  • Visualization Tools: Power BI, Spotfire, Power Apps
  • Data Manipulation & Analysis: SQL, Excel
  • Data Sources: Familiarity with relational databases, data lakes, and clinical trial data systems
  • Database Technologies: MySQL, PostgreSQL, NoSQL databases
  • Certification in AWS Solutions Architect / Microsoft Azure Data Engineer (good to have)
  • Data Manipulation Tools: SQL, Excel

To qualify for the role, you must have:

  • Bachelor's or Master's degree preferably a business degree.
  • 4 to 7 years+ of relevant experience in delivering client engagements across sizes and geographies with deep expertise in Pharma commercial industry
  • Specialized skills in Data Fabric, Data Governance, Enterprise IT Architecture, and other data management disciplines
  • Well-developed business acumen and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints.
  • Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs.
  • A trusted advisor to our clients, guiding them through the entire customer transformation journey, from strategy development to implementation.
  • Familiarity with current techno-commercial context and ability to integrate technology thinking into customer solutioning.
  • Excellent problem-solving skills and ability to scale engagements at will.

Ideally, you'll also have:


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