Product Manager - Data and AI at ActiveEdge Technologies

Overview Of the Role

• You will be responsible for managing and delivering a differentiated product portfolio that addresses the Data Integration, Data Analytics, Data Integrity, Data Governance and AI/ML needs of our clients; Identifying and driving viable business opportunities in support of the company’s overall strategy and busine goals
• As a Data Solution Analyst, you'll translate functional data and analytic requirements into solutions for consumption and use by our prospective customers. respective business or technology request or leveraging a variety of approved technologies.
• While you are ultimately responsible for managing the products’ entire lifecycle and performance from conception through strategy, development, implementation and support – you will be working with solution architects, product specialists/engineers, sales professionals, project managers and more to achieve the desired objectives and key results.

Key Responsibilities

• Develop and implement strategy for solution sales and presales activities in collaboration with the sales team to meet and exceed your revenue target.
• Solution X-selling: Engage clients to identify opportunities for solutions to their data-related business challenges.
• Drive all presales activities including PoCs, presentations and demonstrations for process automation, enterprise portals and Integration solutions.
• Sales and Presales Enablement: Develop proposals, fact sheets, powerpoint presentations, features and benefits document, sales flyers and other supporting documentations to support sales, presales and marketing drives.
• Drive OEM engagement for technical matters on products in solution category
• Market Research and Analysis - Demonstrate and leverage active knowledge of competitor information and advances in the market, customer needs and industry trends to gain competitive advantage.
• Product Review and Development: Regularly assess the viabiity of products in your portfolio; develop and execute action plans for continuous improvement in performance and profitability.
• Manage customers: Proactively report any development that may threaten the relationship with the customers and keep abreast of all relevant events in the customer environment to ensure high service rating and contract renewals are achieved.
• Lead solution Implemention and support activities in collaboration with your delivery team and the PMO
• Offer professional services to customers and where necessary work with sales/customer success teams to explore upsell and cross-sell opportunities.
• Proactively report to Customer Success of all developments especially the ones that may threaten the relationship with the customers
• Manage and support your team towards achieving set performance objectives.
• Maintain high partnership status with OEMs by driving your team to achieve financial targets and required technical certifications for OEM products in your portfolio.
• Talent Development and Capacity Building - Develop in-house competencies and capacity to support every product in your portfolio as a trusted partner to our clients. Continually acquire skills and stay informed on new developments in Data / AI space.
• Other Assignments: Perform any other tasks as assigned or delegated by the unit head or your supervisor.

Position Requirements:

Formal Education & Certification

• A Bachelor’s degree in the field of computer science, business or other related disciplines with an IT focus is preferred.
• Industry / Technical Certifications such as OCP, CISA, AIPMM CPM®, SCRUM, Lean Six Sigma etc. and Business Qualifications such as MBA will be an added advantage

Knowledge & Experience

• A minimum 5 years’ experience delivering data warehouse, data analytics, and/or any Information Management related projects which address internal/external customer challenges, including architecting as-a-service models.
• Prior experience building large scale enterprise data architectures using commercial and/or open-source Data Analytics technologies.
• Proven understanding and/or experience in information management practices which include Master Data Management, Data Quality Management, Data Governance, Data Consolidation, Data Virtualization and Data Security.
• In-depth knowledge of various database technology including relational databases, real-time databases and NoSQL database ((e.g., MongoDB, HBase, Cassandra, CosmosDB, Synapse, Big Query, Big Table)
• Hands-on experience and proficiency in data manipulation tools such as Python, SQL, PowerBI, advanced Excel and tableau
• Proven experience in the development and deployment of modern AI/ML solutions using notable services
• Hands-on experience with ETL tools (e.g., SSIS, Informatica, Talend, Pentaho)
• Hands-on experience with the Big Data stack (e.g. SPARK, MapReduce, Hadoop, Sqoop, Pig, HBase, Hive, Flume)
• Highly developed understanding of data science, and statistical methods
• Knowledge of applicable data privacy practices and laws.
• Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenization techniques.
• Business architecture experience in consulting, FSI or other relevant industry as a Solution Architect, Business Architect or Analyst, Product Owner, Product Manager or other related roles.
• Excellent understanding of IT/Web infrastructure, communications, marketing, and customer service principles.
• Experience with the popular public clouds such as AWS and Azure
• Sound Knowledge of digital & emerging technologies (Social Web, Mobile, E-commerce, CRM, Data Analytics, Cloud, IoT etc.)
• Ability to critically interpret, evaluate and consolidate information into written research reports with the ability to explain complex process to people who aren't experts.
• Experience within an internal or external client-facing consultancy role.
• Experience of data driven design and the production of effective management information or reports.
• Sound know-how of productivity tools like MS Word, Excel and PowerPoint.
• Knowledge of practical aspects of project management and resource allocation and planning

Personal Attributes

• Highly organized and results oriented
• Excellent written, oral communication and presentation skills
• Excellent listening, interpersonal and consultative skills
• Excellent analytical, conceptual, and creative problem-solving skills
• Ability to present ideas in business-friendly and user-friendly language
• Able to conduct research into application integration issues and products
• Exceptional customer-service orientation.
• Highly self-motivated and confident.
• Keen attention to detail.
• Excellent workflow management skills.
• Ability to motivate in a team-oriented, collaborative environment.
• Able to prioritize and execute tasks effectively while under pressure.

Work Conditions

• Occasional evening and weekend work to meet deadlines.
• Dexterity of hands and fingers to operate a computer keyboard, mouse, and to handle other computer components
• Physically able to participate in sessions, presentations, and meetings.
• Some travel may be required for the purpose of offsite client/partner engagements and/or project support