Manager, Data Analytics Consulting

You are strategic, resilient, engaging with people and a natural self-starter. You have a passion for solving complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Manager, Data Analytics Consulting.

EPAM Data Practice is looking forManager, Data Analytics Consulting with a strong Life Sciences background, who can help our customers create information strategies, design best-in-class data platforms, and support data-driven transformation of customer enterprises. We are passionate about delivering value from data and are searching for people with the same mindset to join our team!

Scroll down to learn more about the position's responsibilities and requirements.

Responsibilities

• Engage with customer business stakeholders to discover Data & Analytics opportunities
• Lead and challenge team members and customers to create great strategies and solutions
• Map customer vision & requirements to specific products and components
• Act as a data advocate and work to remove business, technical and political roadblocks
• Mentor and coach clients and team members in data & analytics best practices
• Manage consulting engagements, overall delivery and the quality of the output
• Ensure the strategy is actionable and well documented for a clean handover to implementation
• Assemble a team of EPAM analysts & engineers to delivery MVPs
• Work with account managers to build and manage customer relationships
• Design and drive stakeholder workshops & interviews to define and prioritize the client's strategic and immediate needs
• Work in close collaboration with Solution Architects and Technical Leads to design the solution that will meet the client needs to drive business value
• Work with the business development team on proposals and pitches for new business
• Respond to RFxs, create proposals and present them to our potential clients
• Own and drive Data & Analytics presale activities in the Healthcare vertical

Requirements

• 7+ years of total experience in data and analytics domain
• 3+ years in management, delivery, consulting, or presales roles
• 5+ years in the Life Science industry or working with Life Science clients
• Knowledge of one or more Life Science (e.g. clinical trials, R&D, Commercial, Regulatory & Compliance, etc.)
• Experience in working with senior business and IT stakeholders, as well as end-users
• Ability to facilitate and drive strategy discussion
• Ability to participate in and influence solution design discussions
• Solid knowledge of the data and analytics landscape and recent trends
• Experience in end-to-end data and analytics project delivery as part of the team (for example, data lake, DWH, advanced analytics solutions, BI/reporting, etc.)
• Excellent communication skills and dynamic presenter
• Ability to manage customer expectations, present and explain project deliverables to senior stakeholders
• Ability to frame a presales opportunity into a customer engagement
• Primary career focus on some or all areas of Data & Analytics: Cloud Data Platforms, BI, Data Warehousing, Data Lakes, Data Science & Predictive Analytics
• Experience managing medium to large-scale software/technology initiatives
• A keen interest in and passion for the Data & Analytics space
• Knowledge of Cloud, Data, Analytics, and Data Science technologies and trends
• Desire to learn & expand your comfort zone whenever a new technological trend in Data & Analytics arises

We offer

• Career Growth:
  • Over 20 000 online trainings and self-paced courses
  • Access to Linkedln Learning, Cloud Guru, getAbstract platforms
  • Chance to join internal tech communities, focused on knowledge exchange
  • Opportunity to become a speaker at tech talks and conferences
• Well-being & Social Responsibility:
  • Enjoyable working environment, whether it's the vibrant office or the comfort of your own home
  • Participation in charity projects, such as Poland Business Run, Noble Gift, Volunteer Day
  • Various sports activities and group classes (yoga, volleyball, football, squash, basketball and more)
  • Eco initiatives, like Clean Baltic, trees planting, Green Sweep or ornithological trips
• Additional Opportunities:
  • Possibility to purchase private healthcare, insurance and MultiSport card with preferential conditions
  • Joining office workshops, evolving non-professional hobbies and integrating EPAMers
• We gather like-minded people:
  • Engineering community of industry professionals
  • Friendly team and enjoyable working environment
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities
• We provide growth opportunities:
  • Outstanding career roadmap
  • Leadership development, career advising, soft skills, and well-being programs
  • Certification (GCP, Azure, AWS)
  • Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
  • English classes
• We cover it all:
  • Stable income (Employment Contract)
  • Participation in the Employee Stock Purchase Plan
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
  • Referral bonuses
  • Corporate, social and well-being events
• Please, note:
  • The set of bonuses might vary based on the role you apply for - specifics will be discussed with our recruiter during the general interview
  • We will reach out to selected candidates exclusively

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.